Index

A

• absorbing / How to do it...
• adaptive histogram equalization
  • reference link / There's more...
• adjacency list
  • about / Graphs
• adjacency matrix
  • about / Graphs
• advanced image processing algorithms
  • reference link / References
• advanced optimization methods, image processing
  • reference link / References
• air resistance
  • reference / There's more...
• allreduce() function / How it works…
• alternative parallel computing solutions
  • about / Alternative parallel computing solutions
• alternative parallel computing solutions, Python
  • references / References
• Anaconda distribution
  • URL / Getting ready
• analog signal
  • about / Analog and digital signals
• annotations
  • about / How it works…
• Anti-Grain Geometry
  • about / Vispy for scientific visualization
  • URL / Vispy for scientific visualization
• API reference, InteractiveShell
  • URL / There's more...
• API reference, skimage.feature module
  • reference link / There's more...
• API reference, skimage.filter module
  • link / There's more...
• API reference, skimage.morphology module
  • link / There's more...
• architecture, IPython notebook
  • about / Architecture of the IPython notebook
  • multiple clients, connecting to kernel / Connecting multiple clients to one kernel
• array buffers
  • about / How it works…
• array computations
  • accelerating, with Numexpr / Accelerating array computations with Numexpr, How it works...
• array interface, NumPy
  • URL / There's more...
• arrays
  • manipulating, with HDF5 / Manipulating large arrays with HDF5 and PyTables, How to do it..., How it works...
  • manipulating, with PyTables / Manipulating large arrays with HDF5 and PyTables, How to do it..., How it works...
• array selections
  • making, in NumPy / Making efficient array selections in NumPy, How to do it...
• array views
  • about / Making efficient array selections in NumPy
• assert-like functions, NumPy
  • reference / How it works...
• asynchronous parallel tasks
  • interacting with / Interacting with asynchronous parallel tasks in IPython, How to do it…, How it works…
• AsyncResult, attributes
  • elapsed / How it works…
  • progress / How it works…
  • serial_time / How it works…
  • metadata / How it works…
• AsyncResult, methods
  • ready() / How it works…
  • successful() / How it works…
  • wait() / How it works…
  • get() / How it works…
• AsyncResult class
  • URL, for documentation / There's more…
• as_strided method / How it works...
• ATLAS / Why are NumPy arrays efficient?
• attribute / How it works…
• attributes, InteractiveShell class
  • user_ns / The InteractiveShell class
• audio filters
  • reference link / There's more...
• audio signal processing
  • reference link / References, There's more...
• augmented matrix
  • about / How to do it...
• autocorrelation
  • computing, of time series / Computing the autocorrelation of a time series, How to do it..., How it works...
  • reference / There's more...
• autocorrelation function, statsmodels
  • reference / There's more...
• AutoHotKey
  • URL / How to do it…
• AutoHotKey script, in Windows Explorer
  • URL / How to do it…
• AutoIt
  • URL / How to do it…
• automated testing
  • about / Writing unit tests with nose
• AVX / Why are NumPy arrays efficient?

B

• B-tree
  • about / There's more...
• bagging
  • about / Using a random forest to select important features for regression
• ball trees
  • about /
• band-pass filter
  • about / The low-, high-, and band-pass filters
  • reference / There's more...
• bandlimited
  • about / The Nyquist–Shannon sampling theorem
• Basemap
  • URL / References, Getting ready
• basemap
  • about / Getting ready, Manipulating geospatial data with Shapely and basemap
  • geospatial data, manipulating with / How to do it…
• batch rendering / There's more…
• Bayes' theorem / How to do it..., Bayes' theorem
• Bayesianism
  • URL, for blog / Frequentist and Bayesian methods
• Bayesian method
  • about / Frequentist and Bayesian methods
• Bayesian methods
  • overview / How to do it..., How it works...
  • computation, of posterior distribution / Computation of the posterior distribution
  • posteriori estimation, maximizing / Maximum a posteriori estimation
  • reference / There's more...
• Bayesians
  • about / Getting started with Bayesian methods
• Bayesian theory
  • about / Getting started with Bayesian methods
• Bazaar
  • about / Getting ready
• benchmarking / Profiling your code easily with cProfile and IPython
• Bernoulli distribution
  • reference / How to do it...
• Bernoulli Naive Bayes classifier
  • about /
• bias
  • about / Overfitting, underfitting, and the bias-variance tradeoff
• bias-variance dilemma
  • about / Overfitting, underfitting, and the bias-variance tradeoff
  • reference link / Overfitting, underfitting, and the bias-variance tradeoff
• bias-variance tradeoff
  • about / How it works...
  • reference / How it works...
• bifurcation diagram
  • plotting, of chaotic dynamical system / Plotting the bifurcation diagram of a chaotic dynamical system, How to do it...
  • about / Plotting the bifurcation diagram of a chaotic dynamical system
• Bifurcation diagrams
  • reference / There's more...
• Bifurcation theory
  • reference link / There's more...
• binary installer, Chris Gohlke's webpage
  • URL / Getting ready
• Binomial distribution
  • reference / How to do it...
• Birnbaum-Sanders distribution
  • about / How to do it...
  • reference / How to do it...
• bisect() function / How to do it…
• Bisection method
  • reference link / There's more…
• bisection method
  • about / How to do it…
• Bitbucket
  • about / Getting ready
• bivariate method
  • about / Univariate and multivariate methods
• BLAS / Why are NumPy arrays efficient?
• Blaze
  • URL / There's more..., There's more…
  • about / Introduction, How it works…
• Blinn-Phong shading model
  • about / How it works…
  • URL / How it works…
• block
  • about / How it works…
• blocking mode
  • about / How to do it…
• Bokeh
  • about / Creating interactive web visualizations with Bokeh
  • used, for creating interactive web visualizations / Getting ready, How to do it…
  • URL / Getting ready
  • references / There's more…
• Bokeh figures
  • about / There's more…
• Boolean propositional formula
  • finding, from truth table / Finding a Boolean propositional formula from a truth table, How to do it...
• Boosting
  • reference link / There's more...
• bootstrap aggregating
  • about / Using a random forest to select important features for regression
• boundary condition / Differential equations
• branches
  • references / There's more…
• branching
  • about / A typical workflow with Git branching
• Brent's method
  • about / How to do it…
  • reference link / There's more…
• brentq() method / How to do it…
• broadcasting
  • about / How to do it...
• broadcasting rules
  • about / How to do it..., What are NumPy broadcasting rules?
  • reference / There's more...
• Brownian motion
  • about / Simulating a Brownian motion
  • simulating / Simulating a Brownian motion, How to do it..., How it works...
  • references / There's more...
• Broyden-Fletcher-Goldfarb-Shanno (BFGS) algorithm / How to do it…
• bus factor
  • references / How it works…
• Butterworth filter
  • about / The low-, high-, and band-pass filters

C

• %%cython cell magic
  • about / There's more…
• calculus
  • about / Analyzing real-valued functions
  • references / There's more...
• Canopy distribution
  • URL / Getting ready
• Canvas / How to do it…
• cardinal sine
  • about / How to do it…
• CART
  • about / How it works...
• cartopy
  • about / Geographical Information Systems in Python
• Cartopy
  • URL / References
• cascade classification API reference, OpenCV
  • reference link / There's more...
• cascade tutorial, OpenCV (C++)
  • reference link / There's more...
• causal filters / Linear filters and convolutions
• cdef keyword
  • about / How it works…
• cells
  • about / How to do it..., How it works…
• cellular automata
  • reference / There's more...
• cellular automaton
  • about / Types of dynamical systems
• Census Bureau website
  • reference link / How to do it…
• cffi
  • references / There's more…
• Chaos theory
  • reference / There's more...
  • reference link / There's more...
• chaotic dynamical system
  • about / Plotting the bifurcation diagram of a chaotic dynamical system
  • bifurcation diagram, plotting of / Plotting the bifurcation diagram of a chaotic dynamical system, How to do it...
• chi-squared test
  • about / Contingency table and chi-squared test
• chi-square test
  • used, for estimating correlation between variables / Estimating the correlation between two variables with a contingency table and a chi-squared test, How to do it...
  • about / How to do it...
• Chi2 test, SciPy documentation
  • URL / There's more...
• Chinese Remainder Theorem
  • about / How it works...
  • references / There's more...
• Chi square test
  • reference / There's more...
• Chromatic scale
  • URL / There's more...
• chunks
  • about / There's more...
• chunk shape
  • about / There's more...
• classical graph problems
  • examples / Problems in graph theory
• classification
  • about / Supervised learning
  • examples / Supervised learning
• C library
  • wrapping, with ctypes / Wrapping a C library in Python with ctypes, Getting ready, How to do it…, How it works…
• clustering
  • about / Unsupervised learning, Detecting hidden structures in a dataset with clustering
  • hidden structures, detecting in dataset / Detecting hidden structures in a dataset with clustering, How to do it..., How it works...
  • references / There's more...
• clusters
  • about / Unsupervised learning, Detecting hidden structures in a dataset with clustering
• CMA-ES algorithm
  • reference link / There's more…
• coalesces
  • about / How it works…
• code
  • writing / Writing code that works in Python 2 and Python 3
  • debugging, with IPython / Debugging your code with IPython, How to do it...
  • profiling, cProfile used / Profiling your code easily with cProfile and IPython, How to do it..., How it works...
  • profiling, IPython used / Profiling your code easily with cProfile and IPython, How to do it..., How it works..., There's more...
  • profiling, with line_profiler / Profiling your code line-by-line with line_profiler, How do to it..., There's more...
  • parallelizing, with MPI / Parallelizing code with MPI in IPython, How to do it…, How it works…
• code cells
  • about / How to do it...
• code coverage
  • references / There's more...
• code debugging, with IPython
  • post-mortem mode / The post-mortem mode
  • step-by-step debugging mode / Step-by-step debugging
• coin tossing experiment / How it works...
• column-major order
  • about / Why can't some arrays be reshaped without a copy?
• command mode
  • about / What's new in IPython 2.0?
• command prompt
  • about / Getting ready
• commit
  • about / How it works…
• Comms / How it works...
• compilation, with Cython
  • URL / There's more…
• compiler-related installation instructions
  • about / Compiler-related installation instructions
  • Linux / Linux
  • Mac OS X / Mac OS X
  • Windows / Windows
• complex systems
  • reference / There's more...
• components / Learning from data
• compressed sensing
  • about / Compressed sensing, How it works...
  • references / Compressed sensing
• Computer-Aided Design (CAD)
  • about / How it works…
• concurrent programming
  • about / CPython and concurrent programming
• conda
  • about / How to do it…, How to do it...
• conditional probability distribution
  • about / Bayes' theorem
• Configurable class
  • about / How it works...
  • example / Configurables
• configuration file
  • about / How it works...
• configuration object
  • about / How it works...
• configuration system, IPython
  • mastering / Mastering IPython's configuration system, How to do it...
  • user profile / How it works...
  • configuration object / How it works...
  • HasTraits class / How it works...
  • Configurable class / How it works...
  • configuration file / How it works...
• conjugate distributions
  • about / Conjugate distributions
  • reference / Conjugate distributions
• connected-component labeling
  • about / How it works…
• connected component labeling
  • reference link / There's more…
• connected components
  • about / Computing connected components in an image, How it works…
  • computing, in image / Computing connected components in an image, How to do it…, How it works…
  • reference link / There's more…
• connected components, graphs
  • reference link / Problems in graph theory
• connected graph
  • about / Graphs
• constrained optimization
  • about / Local and global minima, Constrained and unconstrained optimization
• constrained optimization algorithm
  • about / How to do it…
• contiguous block
  • about / How it works..., There's more...
• contingency table
  • used, for estimating correlation between variables / Estimating the correlation between two variables with a contingency table and a chi-squared test, How to do it...
  • about / How to do it..., Contingency table and chi-squared test
  • reference / There's more...
• Continuous-time process
  • reference / There's more...
• continuous functions
  • about / The objective function
• continuous integration
  • references / There's more...
  • about / Unit testing and continuous integration
• continuous integration systems
  • about / Unit testing and continuous integration
• continuous optimization
  • about / Introduction
• Continuum Analytics
  • URL / Accelerating pure Python code with Numba and just-in-time compilation
• Contrast
  • reference link / There's more...
• Contrast Limited Adaptive Histogram Equalization (CLAHE) / How to do it...
• conversion examples, nbconvert
  • URL / There's more...
• convex functions
  • about / The objective function
• convex optimization
  • about / The objective function
  • reference link / References
• convolution
  • about / Linear filters and convolutions
• convolutions
  • references / There's more...
• Conway's Game of Life
  • about / There's more...
  • reference / There's more...
• corner detection
  • reference link / There's more...
• corner detection example, scikit-image
  • reference link / There's more...
• corner_harris() function
  • about / How to do it...
• corner_peaks() function
  • about / How to do it..., How it works...
• correlation
  • reference / How to do it...
• correlation function
  • reference / There's more...
• counting process / How to do it...
• course, Computational Fluid Dynamics
  • URL / References, There's more...
• Covariance Matrix Adaptation Evolution Strategy (CMA-ES) algorithm
  • about / How it works…
• coverage module
  • about / Test coverage
• coveralls.io service
  • about / Test coverage
• cProfile
  • used, for profiling code / Profiling your code easily with cProfile and IPython, How to do it..., How it works...
  • URL, for documentation / There's more...
• CPython
  • about / CPython and concurrent programming
• CRAN
  • URL / There's more...
• credible interval
  • about / Credible interval
  • reference / Credible interval
• cross-validation
  • about / How to do it..., Cross-validation and grid search, Predicting who will survive on the Titanic with logistic regression
  • reference link / There's more…
  • grid search, performing with / Getting ready, How to do it..., How it works...
• CSS
  • references / There's more...
• CSS style
  • customizing, in notebook / Customizing the CSS style in the notebook, How to do it...
• CSV (Comma-separated values) / How to do it...
• ctypes
  • about / Introduction, Wrapping a C library in Python with ctypes
  • used, for wrapping C library / Wrapping a C library in Python with ctypes, Getting ready, How to do it…, How it works…
• ctypes module
  • about / Wrapping a C library in Python with ctypes
• CUDA
  • massively parallel code, writing for NVIDIA graphics cards (GPUs) / Writing massively parallel code for NVIDIA graphics cards (GPUs) with CUDA, Getting ready, How to do it..., How it works…
  • about / Writing massively parallel code for NVIDIA graphics cards (GPUs) with CUDA
  • references / There's more…
• CUDA cores
  • about / How it works…
• CUDA programming model
  • kernel / How it works…
  • thread / How it works…
  • block / How it works…
  • grid / How it works…
• CUDA SDK
  • URL / Getting ready
• cumulative distribution function
  • about / How it works...
• cumulative distribution function (CDF)
  • about / How to do it...
• cumulative time / How it works...
• curvefit
  • reference documentation / There's more…
• curve fitting
  • about / How to do it…
• curve fitting regression problem
  • about / How to do it...
• curve_fit() function
  • about / How to do it…
• custom controls
  • adding, in notebook toolbar / Adding custom controls in the notebook toolbar, How to do it..., There's more...
• custom JavaScript widget
  • creating, for notebook / Creating a custom JavaScript widget in the notebook – a spreadsheet editor for pandas, How to do it..., How it works...
• custom magic commands
  • IPython extension, creating with / Creating an IPython extension with custom magic commands, How to do it..., How it works...
• cutoff frequency
  • about / The low-, high-, and band-pass filters
• cvtColor() function / How to do it...
• Cython
  • about / Introduction, Accelerating Python code with Cython
  • Python code, accelerating with / Accelerating Python code with Cython, How to do it…, How it works…
  • URL, for installing / Getting ready
• Cython, installing on Windows
  • URL / References
• Cython, installing on Windows 64-bit
  • URL / References
• Cython code
  • integrating, within Python package / There's more…
  • optimizing / Optimizing Cython code by writing less Python and more C, How to do it…, How it works…
• Cython extension types
  • URL / There's more…
• Cython modules
  • URL / There's more…

D

• %debug magic command / The post-mortem mode
• D3.js
  • URL / Visualizing a NetworkX graph in the IPython notebook with D3.js
  • about / Visualizing a NetworkX graph in the IPython notebook with D3.js
  • NetworkX graph, visualizing with / Visualizing a NetworkX graph in the IPython notebook with D3.js, How to do it…
  • references / There's more…
• D3.js visualizations
  • matplotlib figures, converting to / How to do it…, How it works…
• data
  • analyzing, R used / Analyzing data with the R programming language in the IPython notebook, Getting ready, How to do it..., How it works...
• data buffer / Why are NumPy arrays efficient?
• data buffers
  • vertex buffers / How it works…
  • index buffers / How it works…
  • textures / How it works…
• data dimensions
  • observations / Univariate and multivariate methods
  • variables / Univariate and multivariate methods
• data manipulation, Pandas
  • references / There's more...
• data point / Learning from data
• dataset
  • exploring, with pandas / Exploring a dataset with pandas and matplotlib, How to do it...
  • exploring, with matplotlib / Exploring a dataset with pandas and matplotlib, How to do it...
  • dimensionality, reducing with principal component analysis (PCA) / Reducing the dimensionality of a dataset with a principal component analysis, How to do it..., How it works...
  • hidden structures, detecting in / Detecting hidden structures in a dataset with clustering, How to do it..., How it works...
• datasets
  • about / How it works...
• data structures, for graphs
  • reference link / References
• data type
  • about / How it works...
• datautils package
  • about / Test coverage
• data visualization
  • about / Unsupervised learning, Reducing the dimensionality of a dataset with a principal component analysis
• debugger
  • references / Step-by-step debugging
• debugging
  • about / Debugging your code with IPython
• decisions trees
  • about / Using a random forest to select important features for regression
• decision theory
  • about / Exploration, inference, decision, and prediction
• deep learning
  • reference link / Machine learning references
• defensive programming
  • about / How to do it...
• degree of belief
  • about / Frequentist and Bayesian methods
• Delaunay triangulation
  • about / How it works…
  • reference link / There's more…
• denoise_tv_bregman() function
  • about / How it works...
• dependencies
  • about / There's more…
  • functional dependency / Dependent parallel tasks
  • graph dependency / Dependent parallel tasks
• Dependency Walker
  • URL / DLL hell
• dependent parallel tasks / Dependent parallel tasks
• descartes
  • URL / References, Getting ready
  • about / Manipulating geospatial data with Shapely and basemap
• descartes package
  • about / Geometry in Python
• design patterns
  • about / How to do it...
• deterministic algorithm
  • about / Deterministic and stochastic algorithms
• deterministic dynamical systems
  • about / Types of dynamical systems
  • discrete-time dynamical systems / Types of dynamical systems
  • cellular automaton / Types of dynamical systems
  • Ordinary Differential Equations (ODEs) / Types of dynamical systems
  • Partial Differential Equations (PDEs) / Types of dynamical systems
• development version, Vispy
  • reference / Getting ready
• difference equation
  • about / The FIR and IIR filters
• differentiable functions
  • about / The objective function
• differential equations
  • about / Differential equations
• Diffusion process
  • reference / There's more...
• digital filters
  • applying, to speech sounds / How to do it…, How it works...
• digital signal
  • about / Analog and digital signals, How it works...
  • sampling rate / Analog and digital signals
  • resolution / Analog and digital signals
  • linear filters, applying to / Getting ready, How to do it...
• digital signal processing
  • references / There's more...
• Dijkstra's algorithm
  • about / How it works…
  • reference link / There's more…
• dilation / How it works...
• dimensionality / Learning from data
• direct acyclic graph (DAG)
  • about / How it works...
• directed acyclic graph
  • dependencies, resolving with topological sort / Resolving dependencies in a directed acyclic graph with a topological sort, How to do it…
• directed acyclic graphs
  • about / There's more…
  • reference link / There's more…
• directed graph
  • about / Graphs
• direct interface / How it works…
• discrete-time dynamical system
  • about / Types of dynamical systems
• discrete-time Markov chain
  • about / Simulating a discrete-time Markov chain
  • simulating / How to do it...
• discrete-time signal / Analog and digital signals
• discrete convolution / How it works...
• Discrete Fourier Transform (DFT)
  • about / The Discrete Fourier Transform
• discrete optimization
  • about / Introduction
• distributed version control system
  • about / Learning the basics of the distributed version control system Git
  • working / How it works…
• DLL Hell
  • about / DLL hell
• document classification example, scikit-learn
  • reference link /
• DRAM (Dynamic Random Access Memory)
  • about / How it works…
• draw_spectral() function
  • about / There's more…
• draw_spring() function
  • about / There's more…
• Dynamically Linked Libraries (DLLs)
  • about / Wrapping a C library in Python with ctypes
• dynamical systems
  • references / References
  • reference link / There's more...
• Dynamical Systems
  • reference link / There's more...

E

• Eclipse/PyDev
  • about / Integrated Development Environments
• edges
  • about / Graphs
• edit mode
  • about / What's new in IPython 2.0?
• ego graph / How to do it…
• elastic potential energy / How it works…
  • reference link / There's more…
• elementary cellular automata
  • reference / There's more...
• elementary cellular automaton
  • about / Simulating an elementary cellular automaton
  • simulating / How to do it..., How it works...
• elements, in rendering pipeline of OpenGL
  • data buffers / How it works…
  • variables / How it works…
  • shaders / How it works…
  • primitive type / How it works…
• embarrassingly parallel problem / There's more...
• empirical distribution function
  • about / How to do it...
• energy() function / How it works…
• engines output printing, in real-time
  • reference / There's more…
• ensemble learning
  • about / Using a random forest to select important features for regression
• equalize_adapthist() function / How it works...
• Equal temperament
  • URL / There's more...
• equations
  • solving / Getting ready, How to do it...
• equations, SymPy
  • reference link / LaTeX
• equilibrium points
  • about / How it works...
• equilibrium points, Scholarpedia
  • reference link / There's more...
• equilibrium state, of physical system
  • finding, by minimizing potential energy / Finding the equilibrium state of a physical system by minimizing its potential energy, How to do it…, How it works…
• erosion / How it works...
• ESRI shapefile
  • about / Geographical Information Systems in Python
• estimation
  • about / Exploration, inference, decision, and prediction
• Euler-Maruyama method
  • about / Simulating a stochastic differential equation
  • reference / There's more...
• Eulerian paths
  • reference link / Problems in graph theory
• Euler method
  • about / How it works...
  • reference / There's more...
• exact probabilities
  • computing / How to do it..., How it works...
• examples, classification
  • handwritten digit recognition / Supervised learning
  • spam filtering / Supervised learning
• expectation-maximization algorithm
  • about / How it works...
  • reference link / There's more...
• exploratory data analysis, IPython / Getting started with exploratory data analysis in IPython, How to do it...
• exploratory methods
  • about / Exploration, inference, decision, and prediction
• exponential distribution
  • reference / How to do it...
• extended version, ray tracing engine
  • URL / There's more…
• extension system, IPython
  • URL, for documentation / There's more...
• extrema
  • reference link / References
• extremum
  • about / The objective function

F

• Fast Fourier Transform (FFT)
  • about / Analyzing the frequency components of a signal with a Fast Fourier Transform
  • used, for analyzing frequency components of signal / Analyzing the frequency components of a signal with a Fast Fourier Transform, How to do it..., How it works...
• feature / Learning from data
• feature extraction
  • about / Feature selection and feature extraction
• features, for regression
  • selecting, random forests used / Using a random forest to select important features for regression, How to do it..., How it works...
• feature scaling
  • about / Feature selection and feature extraction
• feature selection
  • about / Feature selection and feature extraction
  • references / Feature selection and feature extraction
• feedback term / The FIR and IIR filters
• feedforward term / The FIR and IIR filters
• FFmpeg
  • URL / Getting ready
• fftfreq() utility / How to do it...
• filters
  • applying, on image / Applying filters on an image, How it works..., How it works...
• filters, frequency domain
  • about / Filters in the frequency domain
• Finite Impulse Response (FIR) filter
  • about / The FIR and IIR filters
  • references / There's more...
• Fiona
  • URL / References, Getting ready
• FIR filter
  • about / How to do it...
• FitzHugh-Nagumo equation
  • about / Simulating a partial differential equation – reaction-diffusion systems and Turing patterns
• FitzHugh-Nagumo system
  • references / There's more...
• fit_transform() method / How to do it...
• fixtures
  • about / How it works...
• flood-fill algorithm
  • about / How it works…
  • reference link / There's more…
• FLOPS
  • about / Writing massively parallel code for NVIDIA graphics cards (GPUs) with CUDA
• fluid dynamics
  • about / Types of dynamical systems
• Fokker-Planck equation
  • about / How it works...
  • reference / There's more...
• Folium
  • URL / References
• force-directed graph drawing
  • reference link / There's more…
• forking
  • about / There's more…
• Fourier transform
  • about / The Nyquist–Shannon sampling theorem
• Fourier transforms
  • references / There's more...
• fragment shader
  • about / How to do it…
• frequency components, signal
  • analyzing, with Fast Fourier Transform (FFT) / Analyzing the frequency components of a signal with a Fast Fourier Transform, How to do it..., How it works...
• frequentism
  • URL, for blog / Frequentist and Bayesian methods
• frequentist method
  • about / Frequentist and Bayesian methods
  • URL, for classic misuses / Frequentist and Bayesian methods
• frequentist methods, hypothesis testing / How to do it...
• frequentists
  • about / Getting started with Bayesian methods
• Fruchterman-Reingold force-directed algorithm
  • about / There's more…
• function, fitting to data
  • nonlinear least squares used / How to do it…, How it works…
• functional dependency
  • about / Dependent parallel tasks
• fundamental frequency
  • about / How it works...

G

• Gaussian filter
  • about / How it works...
  • reference link / There's more...
• Gaussian kernel
  • about / How it works...
• GCC (GNU Compiler Collection)
  • about / Linux
• GDAL/OGR
  • URL / Manipulating geospatial data with Shapely and basemap, Getting ready
• geographical distances
  • reference link / There's more…
• Geographical Information Systems / Geographical Information Systems in Python
• Geographic Information Systems (GIS)
  • about / Introduction
• geometry
  • references / References
• GeoPandas
  • about / Geographical Information Systems in Python
  • URL / References
• geospatial data
  • manipulating, with Shapely / How to do it…
  • manipulating, with basemap / How to do it…
• get_config() function / Configurables
• ggplot, for Python
  • URL / There's more…
• ggplot2
  • URL / There's more…
• GIL
  • reference / CPython and concurrent programming
• Git
  • about / Getting ready, How it works…
  • references / There's more…
• git-flow / There's more…
• git branch command / How to do it…
• Git branching
  • workflow / Getting ready, How to do it…, How it works…
• git diff command / How to do it…
• GitHub
  • about / Getting ready
• git log command / How to do it…
• Gitorious
  • about / Getting ready
• git remote add command / Cloning a remote repository
• git status command / How to do it…
• Global Interpreter Lock (GIL)
  • about / CPython and concurrent programming
  • URL / CPython and concurrent programming
• global minimum
  • about / Local and global minima
• glue language
  • about / A brief historical retrospective on Python as a scientific environment
• Goodness of fit
  • reference / There's more...
• Google code
  • about / Getting ready
• GPGPU
  • about / Writing massively parallel code for NVIDIA graphics cards (GPUs) with CUDA
• gradient
  • reference link, for definition / There's more…
• gradient descent / How it works…
• graph-tool
  • about / Graphs in Python
• graph-tool package
  • reference link / References
• graph coloring
  • reference link / Problems in graph theory
• graph dependency
  • about / Dependent parallel tasks
• Graphics Processing Units (GPUs)
  • about / Introduction, Writing massively parallel code for NVIDIA graphics cards (GPUs) with CUDA
• graphs
  • about / Introduction, Graphs
  • vertices / Graphs
  • nodes / Graphs
  • edges / Graphs
  • references / References
  • manipulating, with NetworkX / How to do it…
  • visualizing, with NetworkX / How to do it…
• graph theory
  • reference link / References
• graph traversal
  • reference link / Problems in graph theory
• GraphViz
  • URL / How it works...
• gravitational force / How it works…
• grayscale image
  • about / Images
• great-circle distance / How it works…
• Great circle
  • reference link / There's more…
• Great circle distance
  • reference link / There's more…
• grid
  • about / How it works…
• grid search
  • about / Cross-validation and grid search, Predicting who will survive on the Titanic with logistic regression
  • reference link / There's more…
  • performing, with cross-validation / Getting ready, How to do it..., How it works...
• Gross Domestic Product (GDP)
  • about / Manipulating geospatial data with Shapely and basemap
• groups
  • about / How it works...
• GUI debuggers
  • about / GUI debuggers
• GUI on Mac OS X / Getting ready
• GUI on Windows / Getting ready
• Guppy-PE
  • URL / Other tools

H

• 44100 Hz sampling rate
  • reference link / References
• h5py
  • about / Manipulating large arrays with HDF5 and PyTables
  • URL / There's more...
  • references / There's more...
• Haar cascades library
  • reference link / There's more...
• Hamiltonian paths
  • reference link / Problems in graph theory
• Handsontable JavaScript library
  • URL / Creating a custom JavaScript widget in the notebook – a spreadsheet editor for pandas
• handwritten digit recognition / Supervised learning
• handwritten digits
  • recognizing, K-nearest neighbors (K-NN) classifier used /
• Harris corner measure response image / How to do it...
• Harris matrix / How it works...
• Hartman-Grobman theorem
  • about / How it works...
• HasTraits class
  • about / How it works...
• HDF5
  • arrays, manipulating with / Manipulating large arrays with HDF5 and PyTables, How to do it..., How it works...
  • about / Manipulating large arrays with HDF5 and PyTables
  • heterogeneous tables, manipulating with / How to do it..., How it works...
• HDF5 chunking
  • references / There's more...
• heat equation
  • about / How it works...
• Hessian / How it works…
• heterogeneous computing
  • about / Writing massively parallel code for heterogeneous platforms with OpenCL
• heterogeneous platforms
  • massively parallel code, writing for / Writing massively parallel code for heterogeneous platforms with OpenCL, Getting ready, How to do it…, How it works…
• heterogeneous tables
  • manipulating, with PyTables / Getting ready, How to do it..., How it works...
  • manipulating, with HDF5 / Getting ready, How to do it..., How it works...
• hidden structures
  • detecting, in dataset / Detecting hidden structures in a dataset with clustering, How to do it..., How it works...
• high-level plotting interfaces
  • references / There's more…
• high-pass filter
  • about / The low-, high-, and band-pass filters
  • reference / There's more...
• high-quality Python code
  • writing / Writing high-quality Python code, How to do it..., There's more...
• histogram / How to do it...
• histogram equalization
  • reference link / There's more...
• holding times / How it works...
• Hooke's law
  • reference link / There's more…
• hubs
  • about / Random graphs
• hyperbolic
  • about / How it works...

I

• IDEs
  • about / Efficient interactive computing workflows with IPython, Integrated Development Environments
• IDEs, for Python
  • links / There's more...
• IHaskell / What is the notebook?
• IJulia / What is the notebook?
• IJulia package
  • about / Introduction
  • URL / Trying the Julia language in the notebook
• image
  • filters, applying on / Applying filters on an image, How it works..., How it works...
  • segmenting / Segmenting an image, How to do it..., How it works...
  • points of interest, finding in / How to do it..., How it works...
  • connected components, computing in / Computing connected components in an image, How to do it…, How it works…
• image denoising / How it works...
  • reference link / There's more...
• image exposure
  • manipulating / Manipulating the exposure of an image, How to do it..., How it works...
• image histogram
  • reference link / There's more...
• image processing
  • reference link / References
• image processing, SciPy lecture notes
  • reference link / There's more...
• image processing tutorial, scikit-image
  • reference link / There's more...
• images
  • about / Images
• image segmentation
  • reference link / There's more...
• Impermium Kaggle challenge
  • reference link /
• implicit-copy operations
  • versus in-place operations / What is the difference between in-place and implicit-copy operations?
• impulse responses
  • references / There's more...
• in-kernel queries
  • about / How it works...
  • references / There's more...
• in-place operations
  • versus implicit-copy operations / What is the difference between in-place and implicit-copy operations?
• independent variables
  • about / Types of dynamical systems
• index, IPython extensions
  • URL / There's more...
• indexing routines
  • URL / There's more...
• inequalities
  • solving / Getting ready, How to do it...
• Infinite Impulse Response (IIR) filter
  • about / The FIR and IIR filters
  • references / There's more...
• initial condition / Differential equations
• instance-based learning
  • example /
  • reference link /
• integrate package, SciPy
  • URL, for documentation / There's more...
• Intel Math Kernel Library (MKL) / Why are NumPy arrays efficient?
• intensity / Images
• interactive computing workflow, IPython
  • about / Efficient interactive computing workflows with IPython
• InteractiveShell class
  • about / The InteractiveShell class
  • attributes / The InteractiveShell class
  • methods / The InteractiveShell class
• interactive web visualizations
  • creating, with Bokeh / Getting ready, How to do it…
• interactive widgets
  • using / Using interactive widgets – a piano in the notebook, Getting ready, How to do it...
• interest point detection
  • reference link / There's more...
• intermediate value theorem
  • about / How it works…
  • reference link / There's more…
• Inverse Discrete Fourier Transform
  • about / Inverse Fourier Transform
• Inverse Fast Fourier Transform
  • about / Inverse Fourier Transform
• inverse FFT
  • about / How to do it...
• Inverse Fourier Transform
  • about / Inverse Fourier Transform
• ipycache
  • about / How to do it…
• IPython
  • about / What is IPython?, The IPython terminal
  • URL, for installation instructions / Getting ready
  • URL / Getting ready
  • exploratory data analysis / Getting started with exploratory data analysis in IPython, How to do it...
  • configuration system, mastering / Mastering IPython's configuration system, How to do it...
  • references / There's more...
  • kernel, creating for / Creating a simple kernel for IPython, How to do it..., How it works...
  • interactive computing workflows / Efficient interactive computing workflows with IPython
  • using, with text editor / IPython and text editor
  • code, debugging with / Debugging your code with IPython, How to do it...
  • embedding, within program / There's more...
  • time, evaluating by statement / How it works...
  • used, for profiling code / Profiling your code easily with cProfile and IPython, How to do it..., How it works..., There's more...
  • %memit magic command, using in / Using the %memit magic command in IPython
  • Python code, distributing across multiple cores / How to do it…, How it works…
  • interacting, with asynchronous parallel tasks / Interacting with asynchronous parallel tasks in IPython, How to do it…, How it works…
  • code, parallelizing with MPI / Parallelizing code with MPI in IPython, How to do it…, How it works…
  • NetworkX graph, visualizing with D3.js / Visualizing a NetworkX graph in the IPython notebook with D3.js, How to do it…
• IPython-text editor workflow
  • about / IPython and text editor
• IPython.parallel
  • references / References
• IPython 2.0
  • modifications, over v1.1 / What's new in IPython 2.0?
  • about / The notebook ecosystem
• IPython blocks
  • used, for teaching programming in notebook / Teaching programming in the notebook with IPython blocks, How to do it...
• IPython Blocks
  • URL / Teaching programming in the notebook with IPython blocks
• IPython documentation
  • URL / Connecting multiple clients to one kernel
• IPython engines / How it works…
• IPython extension
  • creating, with custom magic commands / Creating an IPython extension with custom magic commands, How to do it..., How it works...
  • about / How to do it...
  • loading / Loading an extension
• IPython notebook
  • overview / Introducing the IPython notebook, Getting ready, How to do it...
  • about / The IPython notebook
  • architecture / Architecture of the IPython notebook
  • converting to other formats, with nbconvert / Converting an IPython notebook to other formats with nbconvert, How to do it..., How it works...
  • data analyzing, with R programming language / Analyzing data with the R programming language in the IPython notebook, Getting ready, How to do it..., How it works...
• IPython notebook examples
  • reference / What's new in IPython 2.0?
• IPython terminal
  • about / The IPython terminal
• IPython tutorial
  • reference / There's more...
• Iris flower data set
  • reference link / There's more…
• IRuby / What is the notebook?
• iterated functions
  • reference / There's more...
• iteritems() method / Writing code that works in Python 2 and Python 3
• Itō calculus
  • reference / There's more...

J

• Jacobian matrix
  • about / How it works...
• Joblib
  • about / How to do it…
• joblib
  • about / Alternative parallel computing solutions
• JSON
  • about / The notebook ecosystem, Converting an IPython notebook to other formats with nbconvert
• JSON on Wikipedia
  • URL / There's more...
• Julia
  • about / Introduction, Trying the Julia language in the notebook
  • URL / Trying the Julia language in the notebook
  • URL, for packages / Getting ready
  • strengths / There's more…
• Julia language
  • trying, in notebook / How to do it…
  • references / There's more…
• Julia tutorial, SciPy 2014 conference
  • URL / Trying the Julia language in the notebook
• Jupyter
  • about / What is the notebook?
  • URL / What is the notebook?
• Just-In-Time compilation
  • Python code, accelerating with / Accelerating pure Python code with Numba and just-in-time compilation, How to do it…, How it works…
• Just-In-Time compilation (JIT)
  • about / Introduction

K

• K-D trees
  • about /
• K-means algorithm
  • about / How to do it...
  • reference link / There's more...
• K-nearest neighbors (K-NN) classifier
  • about /
  • handwritten digits, recognizing with /
  • references /
• Kaggle
  • about / Predicting who will survive on the Titanic with logistic regression
  • URL / Predicting who will survive on the Titanic with logistic regression
  • references /
• Kartograph
  • about / Geographical Information Systems in Python
  • URL / References
• KDE implementations, scikit-learn
  • reference / How it works...
• KDE implementations, statsmodels
  • reference / How it works...
• kernel
  • creating, for IPython / Creating a simple kernel for IPython, How to do it..., How it works...
  • multiple clients, connecting to / Connecting multiple clients to one kernel
  • about / How it works…, How it works...
• KernelBase API
  • reference / There's more...
• kernel density estimation (KDE)
  • used, for estimating probability distribution nonparametrically / Estimating a probability distribution nonparametrically with a kernel density estimation, How to do it..., How it works...
  • about / Estimating a probability distribution nonparametrically with a kernel density estimation
• kernel density estimator
  • about / How it works...
  • reference / How it works...
• kernels
  • about / What is IPython?, How to do it...
• kernel spec / How to do it...
• kernel trick
  • about / How it works...
• kernprof file
  • URL, for downloading / There's more...
• Khronos Group
  • about / Writing massively parallel code for heterogeneous platforms with OpenCL
• Kolmogorov-Smirnov test
  • about / How to do it...
  • reference / There's more...

L

• %lprun command
  • about / How it works...
• L-BFGS-B algorithm
  • about / How to do it…
  • reference link / There's more…
• L2 norm
  • about / Ordinary least squares regression
• lambdify() function / How to do it...
• Langevin equation
  • about / Simulating a stochastic differential equation
  • reference / There's more...
• LAPACK / Why are NumPy arrays efficient?
• Laplacian matrix
  • about / There's more…
• LaTeX
  • about / How to do it..., LaTeX
  • references / LaTeX
• LaTeX distribution
  • reference / Getting ready
• LaTeX equations
  • about / How to do it...
• least squares method
  • reference / There's more...
  • references / There's more…
• Leave-One-Out cross-validation
  • about / Cross-validation and grid search
• left singular vectors
  • about / How it works...
• Levenberg-Marquardt algorithm / How it works…
  • reference link / There's more…
• linear algebra
  • references / There's more...
• linear combination / How it works...
• linear filters
  • about / Applying a linear filter to a digital signal, What are linear filters?
  • applying, to digital signal / Getting ready, How to do it...
  • and convolutions / Linear filters and convolutions
  • references / There's more...
• linear system / Differential equations
• Linear Time-Invariant (LTI)
  • about / What are linear filters?
• line_profiler
  • used, for profiling code / Profiling your code line-by-line with line_profiler, How do to it..., There's more...
  • URL / Profiling your code line-by-line with line_profiler
• Linux
  • about / Linux
• Lloyd's algorithm / How it works...
• LLVM (Low Level Virtual Machine)
  • about / How it works…
• lm() function / How it works...
• load-balanced interface / How it works…
• Locality of reference
  • URL / There's more...
• locality of reference / Why are NumPy arrays efficient?
• local minimum
  • about / Local and global minima
• local repository
  • creating / Creating a local repository
• logistic map
  • about / Plotting the bifurcation diagram of a chaotic dynamical system
  • reference / There's more...
• logistic regression
  • about / Predicting who will survive on the Titanic with logistic regression
  • references / There's more...
• loss function
  • about / How to do it..., Ordinary least squares regression
• Lotka-Volterra equations
  • about / Analyzing a nonlinear differential system – Lotka-Volterra (predator-prey) equations, How it works...
• low-pass filter
  • about / The low-, high-, and band-pass filters
  • reference / There's more...
• Lyapunov exponent
  • about / Plotting the bifurcation diagram of a chaotic dynamical system, How to do it...
  • reference / There's more...
• Lévi function
  • about / How to do it…

M

• %memit magic command
  • using, in IPython / Using the %memit magic command in IPython
• machine learning
  • about / Introduction
  • references / Introduction, Machine learning references
• Mac OS X
  • about / Mac OS X
• magic commands
  • about / How to do it...
  • cythonmagic / There's more...
  • rmagic / There's more...
  • octavemagic / There's more...
  • URL / There's more...
• magic function
  • about / The InteractiveShell class
• Magics class
  • about / Magics
• mandelbrot() function
  • about / How to do it…, How to do it…
  • size argument / How it works…, How to do it...
  • iterations argument / How it works…, How to do it...
  • pointer argument / How it works…, How to do it...
• manually-vectorized code
  • Numba, comparing with / There's more…
• manual testing
  • about / Writing unit tests with nose
• MAP
  • reference / Maximum a posteriori estimation
• Maple
  • about / A brief historical retrospective on Python as a scientific environment
• maps
  • references / References
• Markdown
  • about / How to do it...
  • URL / How to do it…
• Markdown cell
  • about / How to do it...
• Markov Chain
  • about / Fitting a Bayesian model by sampling from a posterior distribution with a Markov chain Monte Carlo method
• Markov chain Monte Carlo (MCMC)
  • about / How it works...
• Markov chain Monte Carlo method
  • reference / There's more...
• Markov Chain Monte Carlo method
  • Bayesian model, fitting by sampling from posterior distribution / Fitting a Bayesian model by sampling from a posterior distribution with a Markov chain Monte Carlo method, How to do it..., How it works...
• Markov chains
  • about / Introduction
  • references / There's more...
• Markov property
  • about / Introduction
  • reference / References
• Mathematica
  • about / A brief historical retrospective on Python as a scientific environment
• mathematical function
  • root, finding of / How to do it…, How it works…
  • minimizing / Minimizing a mathematical function, How to do it…, How it works…
• mathematical morphology / How it works...
  • reference link / There's more...
• mathematical optimization
  • about / Introduction
  • reference link / References
• mathematical optimization, SciPy
  • reference link / References, There's more…
• MathJax
  • about / LaTeX
  • URL / LaTeX
• matplotlib
  • about / A brief historical retrospective on Python as a scientific environment, Making nicer matplotlib figures with prettyplotlib
  • URL, for installation instructions / Getting ready
  • references, for improving styling / There's more…
  • dataset, exploring with / Exploring a dataset with pandas and matplotlib, How to do it...
• matplotlib figures
  • improving, with prettyplotlib / How to do it…, How it works…
  • converting, to D3.js visualizations / How to do it…, How it works…
• matrix
  • about / How it works...
• Matrix documentation, SymPy
  • URL / There's more..., There's more...
• maxima
  • reference link / References
• maximum, of function
  • about / Local and global minima
• maximum a posteriori (MAP)
  • about / Maximum a posteriori estimation
• maximum likelihood estimate
  • about / How to do it...
  • reference / There's more...
• maximum likelihood method
  • about / Fitting a probability distribution to data with the maximum likelihood method
  • used for fitting, probability distribution to data / How to do it..., How it works...
• memoize pattern
  • about / How to do it…
• memory mapping
  • about / Processing huge NumPy arrays with memory mapping, Manipulating large arrays with HDF5 and PyTables
  • NumPy arrays, processing with / Processing huge NumPy arrays with memory mapping, How it works...
• memory mapping, arrays
  • about / Introduction
• memory usage, of code
  • profiling, with memory_profiler / Profiling the memory usage of your code with memory_profiler, How to do it...
• memory_profiler
  • memory usage of code, profiling with / Profiling the memory usage of your code with memory_profiler, How to do it...
  • URL, for downloading / Profiling the memory usage of your code with memory_profiler
• memory_profiler package
  • about / How it works...
  • using, for standalone Python programs / Using memory_profiler for standalone Python programs
• Mercurial
  • about / Getting ready
• merge
  • about / How it works…
• merging
  • about / How it works…
• messaging protocols
  • reference / There's more...
• Metaheuristics for function minimization
  • reference link / There's more…
• methods, InteractiveShell class
  • push() / The InteractiveShell class
  • ev() / The InteractiveShell class
  • ex() / The InteractiveShell class
  • run_cell() / The InteractiveShell class
  • safe_execfile() / The InteractiveShell class
  • system() / The InteractiveShell class
  • write() / The InteractiveShell class
  • write_err() / The InteractiveShell class
  • register_magic_function() / The InteractiveShell class
• Metropolis-Hastings algorithm
  • about / Fitting a Bayesian model by sampling from a posterior distribution with a Markov chain Monte Carlo method, How it works...
  • reference / There's more...
• Milstein method
  • reference / There's more...
• MinGW
  • URL / Python 32-bit
• minima
  • reference link / References
• minimize() function / How to do it…
• minimize_scalar() function / How to do it…
• minimum, of function
  • about / Local and global minima
• modal user interface
  • about / What's new in IPython 2.0?
• Model-View-Controller (MVC) / How it works...
• model selection
  • about / Model selection
  • reference link / Model selection
• Monte-Carlo methods
  • references / There's more...
• Monte Carlo method
  • about / Fitting a Bayesian model by sampling from a posterior distribution with a Markov chain Monte Carlo method
  / There's more...
• moving average method
  • about / The low-, high-, and band-pass filters
• MPI
  • about / Parallelizing code with MPI in IPython
  • code, parallelizing with / Parallelizing code with MPI in IPython, How to do it…, How it works…
  • references, for tutorials / How it works…
• mpi4py package
  • URL / Getting ready
• MPICH
  • URL / Getting ready
• mpld3 library
  • about / Converting matplotlib figures to D3.js visualizations with mpld3
  • URL, for installation instructions / Getting ready
  • matplotlib figures, converting to D3.js visualizations / How to do it…, How it works…
• mpld3, GitHub
  • URL / There's more…
• mplexporter
  • URL / There's more…
• mplexporter framework
  • about / How it works…
• msysGit
  • URL / Getting ready
• multi-core processors
  • advantage, taking of / Releasing the GIL to take advantage of multicore processors with Cython and OpenMP, How to do it…
• multidimensional array
  • about / Introducing the multidimensional array in NumPy for fast array computations
• multidimensional array, NumPy
  • for fast array computations / Introducing the multidimensional array in NumPy for fast array computations, How to do it..., How it works..., There's more...
• multiple clients
  • connecting, to kernel / Connecting multiple clients to one kernel
• multiprocessing module
  • about / Distributing Python code across multiple cores with IPython
• multiprocessors
  • about / How it works…
• multivariate method
  • about / Univariate and multivariate methods

N

• 100 NumPy exercises
  • URL / There's more...
• Naive Bayes classifier
  • references /
• Natural Earth
  • URL / Manipulating geospatial data with Shapely and basemap
• Navier-Stokes equations
  • about / Differential equations
  • reference / References
• nbconvert
  • about / There's more...
  • URL / There's more...
  • used, for converting IPython notebook to other format / Converting an IPython notebook to other formats with nbconvert, How to do it..., How it works...
  • URL, for documentation / There's more...
• nbviewer
  • about / There's more...
  • URL / There's more...
  • reference / There's more...
• NetworkX
  • about / Graphs in Python
  • URL, for installation instructions / Getting ready
  • graphs, manipulating with / How to do it…
  • graphs, visualizing with / How to do it…
  • social network, analyzing with / Analyzing a social network with NetworkX, How to do it…
• NetworkX graph
  • visualizing, with D3.js / Visualizing a NetworkX graph in the IPython notebook with D3.js, How to do it…
• NetworkX package
  • reference link / References
• Neumann boundary conditions
  • about / How to do it...
  • references / There's more...
• Newton's method
  • about / How it works…
  • reference link / There's more…, There's more…
• Newton's second law of motion
  • about / How it works...
  • reference / There's more...
• NLTK
  • URL /
• nodes
  • about / Graphs
• nogil keyword / How it works…
• noise reduction
  • reference link / There's more...
• non-contiguous
  • about / How to do it...
• non-informative prior distributions
  • about / Non-informative (objective) prior distributions
  • references / Non-informative (objective) prior distributions
• non-Python languages, notebook
  • references / References
• nonlinear differential system
  • analyzing / Getting ready, How to do it..., How it works...
• nonlinear least squares
  • used, for fitting function to data / How to do it…, How it works…
  • reference link / There's more…
• nonlinear least squares curve fitting
  • about / Fitting a function to data with nonlinear least squares
• nonlinear system / Differential equations
• nonparametric estimation
  • about / Estimating a probability distribution nonparametrically with a kernel density estimation
• nonparametric model
  • about / Parametric and nonparametric inference methods
• nose
  • unit tests, writing with / Writing unit tests with nose, How to do it..., How it works...
  • URL, for documentation / How it works...
• notebook
  • about / What is IPython?, What is the notebook?
  • contents / There's more...
  • references / There's more...
  • URL, for blog / What is the notebook?
  • security / Security in notebooks
  • programming, teaching with IPython blocks / Teaching programming in the notebook with IPython blocks, How to do it...
  • CSS style, customizing in / Getting ready, How to do it...
  • custom JavaScript widget, creating for / Creating a custom JavaScript widget in the notebook – a spreadsheet editor for pandas, How to do it..., How it works...
  • webcam images, processing from / Processing webcam images in real time from the notebook, How to do it..., How it works...
  • Julia language, trying in / How to do it…
  • sound synthesizer, creating in / Creating a sound synthesizer in the notebook, How it works...
• notebook architecture
  • references / References
• notebook ecosystem
  • about / The notebook ecosystem
• notebook toolbar
  • custom controls, adding in / Adding custom controls in the notebook toolbar, How to do it..., There's more...
• Notebook widgets
  • about / What's new in IPython 2.0?
• null hypothesis
  • about / How to do it...
• Numba
  • about / Introduction, Accelerating pure Python code with Numba and just-in-time compilation
  • URL / Accelerating pure Python code with Numba and just-in-time compilation
  • Python code, accelerating with / Accelerating pure Python code with Numba and just-in-time compilation, How to do it…, How it works…
  • comparing, with manually-vectorized code / There's more…
  • references / There's more…
• number theory
  • references / There's more...
• number theory, SymPy / How to do it..., How it works...
  • references / There's more...
• numerical methods, ODEs
  • reference / There's more...
• Numexpr
  • about / Introduction, How it works…, Accelerating array computations with Numexpr
  • array computations, accelerating with / Accelerating array computations with Numexpr, How it works...
  • URL, for installation instructions / Getting ready
• NumPy
  • about / A brief historical retrospective on Python as a scientific environment, Introducing the multidimensional array in NumPy for fast array computations, Introduction
  • references / There's more...
  • unnecessary array copying, avoiding / Understanding the internals of NumPy to avoid unnecessary array copying, How to do it...
  • stride tricks, using with / Using stride tricks with NumPy, How to do it..., How it works...
  • efficient array selections, making in / Making efficient array selections in NumPy, How to do it...
• NumPy, Travis Oliphant
  • URL / Introduction
• numpy.ctypeslib module
  • about / Wrapping a C library in Python with ctypes
• NumPy arrays
  • about / Why are NumPy arrays efficient?
  • features / Why are NumPy arrays efficient?
  • processing, with memory mapping / Processing huge NumPy arrays with memory mapping, How it works...
• NumPy optimization
  • about / Introduction
• NumPy routines
  • URL / There's more...
• NVIDIA graphics cards (GPUs)
  • massively parallel code, writing for / Writing massively parallel code for NVIDIA graphics cards (GPUs) with CUDA, Getting ready, How to do it..., How it works…
• Nyquist-Shannon sampling theorem
  • about / The Nyquist–Shannon sampling theorem
  • reference / The Nyquist–Shannon sampling theorem
• Nyquist criterion
  • about / The Nyquist–Shannon sampling theorem
• Nyquist frequency
  • about / The Nyquist–Shannon sampling theorem
• Nyquist rate
  • about / The Nyquist–Shannon sampling theorem

O

• OAuth authentication codes / Getting ready
• objective function
  • about / The objective function
• observation / Learning from data
• observations / Univariate and multivariate methods
• odeint() function / How it works...
• ODEPACK
  • about / How it works...
• ODEPACK package, FORTRAN
  • reference / There's more...
• ODEs
  • about / Types of dynamical systems
  • reference / There's more...
• offset
  • about / Getting ready
• Online Python Tutor
  • about / Tracing the step-by-step execution of a Python program
  • URL / Tracing the step-by-step execution of a Python program
• OpenCL
  • about / Writing massively parallel code for NVIDIA graphics cards (GPUs) with CUDA
  • references / There's more…
  • massively parallel code, writing for heterogeneous platforms / Writing massively parallel code for heterogeneous platforms with OpenCL, Getting ready, How to do it…, How it works…
  • resources / There's more…
• OpenCL compute unit / How it works…
• OpenCL NDRange / How it works…
• OpenCL SDKs
  • references / Getting ready
• OpenCL work groups / How it works…
• OpenCL work items / How it works…
• OpenCV
  • URL / Introduction
  • about / Introduction, Detecting faces in an image with OpenCV
  • faces, detecting in image / Detecting faces in an image with OpenCV, How to do it..., How it works...
  • references / Getting ready
• OpenGL / How it works…
• OpenGL ES 2.0 / How it works…
• OpenGL Program / How to do it…
• OpenGL Shading Language (GLSL) / How it works…
• OpenGL viewport
  • about / How to do it…
• OpenMP
  • about / Releasing the GIL to take advantage of multicore processors with Cython and OpenMP
• OpenStreetMap
  • URL / References
• OpenStreetMap service
  • about / Geographical Information Systems in Python
• order
  • about / Differential equations
• ordinary differential equation
  • simulating, with SciPy / Simulating an ordinary differential equation with SciPy, How to do it..., How it works...
• Ordinary Differential Equations (ODEs)
  • about / Simulating an ordinary differential equation with SciPy
• ordinary least squares regression
  • about / Ordinary least squares regression
• Ornstein-Uhlenbeck process / Simulating a stochastic differential equation
  • reference / There's more...
• orthodromic distance / How it works…
• Otsu's method
  • reference link / There's more...
• out-of-core computations
  • about / Processing huge NumPy arrays with memory mapping
• output areas
  • about / How to do it...
• overfitting / Supervised learning
  • about / Overfitting, underfitting, and the bias-variance tradeoff
  • reference link / Overfitting, underfitting, and the bias-variance tradeoff

P

• %%prun cell magic
  • about / How to do it...
• %pdb on command / The post-mortem mode
• %prun line magic
  • about / How to do it...
• %px* magic commands / How it works…
• @pyimport macro / How to do it…
• p-value
  • about / How it works...
• packaging
  • about / How to do it...
• Pandas
  • about / A brief historical retrospective on Python as a scientific environment, There's more...
  • URL, for installation instructions / Getting ready
• pandas
  • dataset, exploring with / Exploring a dataset with pandas and matplotlib, How to do it...
  • about / There's more...
• pandoc
  • URL, for documentation / Getting ready
• ParallelPython
  • about / Alternative parallel computing solutions
• parameter vector
  • about / Ordinary least squares regression
• parametric estimation method
  • about / Estimating a probability distribution nonparametrically with a kernel density estimation
• parametric method
  • about / Parametric and nonparametric inference methods
• partial derivatives
  • about / Types of dynamical systems
• partial differential equation
  • simulating / Simulating a partial differential equation – reaction-diffusion systems and Turing patterns, How to do it..., How it works...
• Partial Differential Equations (PDEs)
  • about / Simulating a partial differential equation – reaction-diffusion systems and Turing patterns
  • references / There's more...
• partition
  • about / Supervised learning
• pcolormesh() function / How to do it…
• PDEs
  • about / Types of dynamical systems
• Pearson's correlation coefficient
  • about / Pearson's correlation coefficient
  • reference / Pearson's correlation coefficient
• PEP8
  • about / How to do it...
• pep8 package
  • about / How to do it...
• phi / How it works...
• pickle module / How to do it…
• Pillow
  • URL, for installing / Getting ready
• point process
  • about / How to do it..., Simulating a Poisson process
  • reference / There's more...
• point processes
  • about / Introduction
• points of interest
  • about / Finding points of interest in an image
  • finding, in image / How to do it..., How it works...
• point sprites
  • about / Vispy for scientific visualization
• Poisson process
  • about / How to do it..., Simulating a Poisson process
  • simulating / How to do it..., How it works...
  • reference / There's more...
• polynomial interpolation, linear regression / Polynomial interpolation with linear regression
• posterior distribution
  • about / How to do it...
• potential energy
  • reference link / There's more…
• power spectral density (PSD)
  • about / How to do it..., The Discrete Fourier Transform
• prediction
  • about / Exploration, inference, decision, and prediction
• premature optimization / "Premature optimization is the root of all evil"
• preprocessing
  • about / Feature selection and feature extraction
• prettyplotlib
  • about / Making nicer matplotlib figures with prettyplotlib
  • URL, for installation instructions / Getting ready
  • used, for improving matplotlib figures / How to do it…, How it works…
• prime-counting function
  • about / How to do it...
• prime number theorem
  • about / How to do it...
• primitive assembly / How it works…
• primitive type
  • about / How it works…
• principal component analysis (PCA)
  • used, for reducing dataset dimensionality / Reducing the dimensionality of a dataset with a principal component analysis, How to do it..., How it works...
  • about / Reducing the dimensionality of a dataset with a principal component analysis
  • reference link / There's more…
• principal components
  • about / Reducing the dimensionality of a dataset with a principal component analysis, How it works...
• principle of minimum energy
  • reference link / There's more…
• principle of minimum total potential energy / How it works…
• prior probability distribution
  • about / Frequentist and Bayesian methods, How to do it...
• probabilistic model
  • about / Parametric and nonparametric inference methods
• probability distribution, fitting to data
  • maximum likelihood method used / How to do it..., How it works...
• probability distribution nonparametrically
  • estimating, with kernel density estimation / Estimating a probability distribution nonparametrically with a kernel density estimation, Getting ready, How to do it..., How it works...
• probability mass function (PMF)
  • about / How to do it...
• probit model
  • about / Supervised learning
  • reference link / Supervised learning
• profiling / Profiling your code easily with cProfile and IPython
• profiling, Python scripts
  • reference / There's more...
• profiling tools, Python
  • URL / There's more...
• program optimization
  • reference / "Premature optimization is the root of all evil"
• Project Jupyter
  • about / What is IPython?
• propositional formula
  • reference / There's more...
• propositional formulas
  • about / Finding a Boolean propositional formula from a truth table
• pstats
  • URL, for documentation / There's more...
• psutil
  • URL / Getting ready
• PTVS
  • about / Integrated Development Environments
• pull request
  • about / There's more…
• pure tone
  • about / How it works...
  • reference link / There's more...
• PyAudio
  • URL / There's more...
• PyCharm
  • about / Integrated Development Environments
• PyCUDA
  • reference / Writing massively parallel code for NVIDIA graphics cards (GPUs) with CUDA
• PyCUDA wiki
  • URL / Getting ready
• pydot
  • about / How it works...
• pydub package
  • URL, for downloading / Getting ready
• Pylint
  • URL / How to do it...
• PyMC package
  • about / Fitting a Bayesian model by sampling from a posterior distribution with a Markov chain Monte Carlo method
  • reference / Getting ready
• PyMC tutorial
  • reference / There's more...
• Pympler
  • URL / Other tools
• PyOpenCL
  • about / Writing massively parallel code for heterogeneous platforms with OpenCL
  • URL / Writing massively parallel code for heterogeneous platforms with OpenCL
  • references / Getting ready, How it works…
• pyplot
  • about / Creating beautiful statistical plots with seaborn
• PyPy
  • URL / Introduction
  • about / Introduction
• PyPy, Travis Oliphant
  • URL / Introduction
• PySizer
  • URL / Other tools
• PyTables
  • arrays, manipulating with / Manipulating large arrays with HDF5 and PyTables, How to do it..., How it works...
  • about / Manipulating large arrays with HDF5 and PyTables
  • URL, for installation / Getting ready
  • references / There's more...
  • heterogeneous tables, manipulating with / How to do it..., How it works...
• Python
  • references / References
  • URL / Getting ready
  • about / Introduction
• Python(x,y) distribution
  • URL / Getting ready
• Python, as scientific environment
  • historical retrospective / A brief historical retrospective on Python as a scientific environment
  • references / A brief historical retrospective on Python as a scientific environment
• Python, interfacing with C
  • URL / Introduction
• python-apt package
  • URL / Getting ready
• python-graph
  • about / Graphs in Python
• python-graph package
  • reference link / References
• Python 2
  • about / Getting ready, Choosing (or not) between Python 2 and Python 3
  • versus Python 3 / Main differences in Python 3 compared to Python 2
  • references / There's more...
• Python 2, or Python 3
  • selecting between / Python 2 or Python 3?
  • options, for selecting / There's more...
• Python 2.x
  • about / Python 64-bit
• Python 3
  • about / Getting ready, Choosing (or not) between Python 2 and Python 3
  • versus Python 2 / Main differences in Python 3 compared to Python 2
  • references / There's more...
• Python 3.x
  • about / Python 64-bit
• Python 32-bit
  • about / Python 32-bit
• Python 64-bit
  • about / Python 64-bit
• PythonAnywhere
  • about / Alternative parallel computing solutions
• Python code
  • accelerating, with Numba / Accelerating pure Python code with Numba and just-in-time compilation, How to do it…, How it works…
  • accelerating, with Just-In-Time compilation / Accelerating pure Python code with Numba and just-in-time compilation, How to do it…, How it works…
  • accelerating, with Cython / Accelerating Python code with Cython, How to do it…, How it works…
  • distributing, across multiple cores with IPython / How to do it…, How it works…
• Python implementation, of CMA-ES
  • reference link / There's more…
• Python package
  • about / Loading an extension
  • Cython code, integrating within / There's more…
• Python program
  • step-by-step execution, tracing / Tracing the step-by-step execution of a Python program
• Python Tools for Visual Studio
  • URL / Getting ready
• Python wheels, for Windows 64-bit
  • URL / References
• Python wrapper
  • references / Getting ready

Q

• Qhull
  • about / How it works…
  • URL / There's more…
• quantified signal / Analog and digital signals
• quasi-Newton methods
  • about / How it works…
• Quasi-Newton methods
  • reference link / There's more…
• Quine-McCluskey algorithm
  • about / How it works...
  • URL / There's more...

R

• %run magic command / IPython and text editor, How to do it...
• R
  • URL / Analyzing data with the R programming language in the IPython notebook
  • about / Analyzing data with the R programming language in the IPython notebook
  • used, for analyzing data / Analyzing data with the R programming language in the IPython notebook, Getting ready, How to do it..., How it works...
  • references / There's more...
• Rackspace
  • URL / There's more...
• Radial Basis Function (RBF)
  • about / How to do it...
• Random Access Memory (RAM) / Why are NumPy arrays efficient?
• random forests
  • about / Using a random forest to select important features for regression
  • used, for selecting features for regression / Using a random forest to select important features for regression, How to do it..., How it works...
  • references / There's more...
• random graphs
  • about / Random graphs
  • reference link / References
• random subspace method
  • about / How it works...
• random variable
  • about / How to do it...
• random variables
  • manipulating / How to do it..., How it works...
• random walk
  • about / Simulating a Brownian motion
• rasterization / How it works…
• RATP
  • reference link / Getting ready
• Ray tracing
  • reference / How it works…
• reachability relation
  • about / How it works…
• reaction-diffusion system
  • about / Simulating a partial differential equation – reaction-diffusion systems and Turing patterns
• reaction-diffusion systems
  • references / There's more...
• Read-Evaluate-Print Loop (REPL) / Architecture of the IPython notebook
• real-valued functions
  • analyzing / How to do it...
• real analysis
  • references / There's more...
• rebasing
  • about / How it works…
• red, green, and blue (RGB) / Images
• regionprops() function
  • about / How to do it...
• regions
  • about / How it works…
• regression
  • about / Supervised learning
  • examples / Supervised learning
• regression analysis
  • reference / There's more...
• regressions
  • about / How it works...
• regularization
  • about / Overfitting, underfitting, and the bias-variance tradeoff, How to do it...
• remote repository
  • cloning / Cloning a remote repository
• render() function / How it works...
• rendering pipeline
  • about / How it works…
  • working / How it works…
• Renewal theory
  • reference / There's more...
• REPL
  • about / Efficient interactive computing workflows with IPython
• reproducible interactive computing experiments
  • about / Ten tips for conducting reproducible interactive computing experiments
  • tips, for conducting / How to do it…, How it works…
  • references / There's more...
• requests module
  • reference / How to do it...
• rescale_intensity() function / How it works...
• reStructuredText (reST)
  • about / How to do it…
• ridge regression
  • about / How to do it..., Ridge regression
  • reference link / Ridge regression
• ridge regression model
  • about / How to do it...
  • drawback / Cross-validation and grid search
• road network
  • route planner, creating for / Creating a route planner for a road network, How to do it…, How it works…
• robust model
  • about / Overfitting, underfitting, and the bias-variance tradeoff
• rolling average / Implementing an efficient rolling average algorithm with stride tricks
• rolling average algorithm
  • implementing, with stride tricks / Implementing an efficient rolling average algorithm with stride tricks, How to do it...
• rolling mean
  • about / How to do it...
• root
  • finding, of mathematical function / How to do it…, How it works…
• root finding course, SciPy
  • reference link / There's more…
• route planner
  • creating, for road network / Creating a route planner for a road network, How to do it…, How it works…
• row-major order
  • about / Why can't some arrays be reshaped without a copy?
• rpy2
  • URL, for downloading / Getting ready
• R tutorial
  • reference / There's more...
• Rule 110 automaton
  • about / How it works...
  • reference / There's more...
• RunSnakeRun
  • about / There's more...
  • URL / There's more...

S

• saddle point
  • about / How to do it...
• Sage
  • about / A brief historical retrospective on Python as a scientific environment, Introduction, Getting started with Sage
  • URL / Getting started with Sage
  • URL, for installing / Getting ready
  • references / There's more...
• Sage notebook
  • creating / How to do it...
• Sage notebooks
  • reference / Getting ready
• sample / Learning from data
• sample mean
  • about / How it works...
• samples / Univariate and multivariate methods
• scatter() function / How to do it...
• scene graph
  • about / Vispy for scientific visualization
• scientific visualization, Vispy / Vispy for scientific visualization
• scikit-image
  • about / Introduction
  • URL / Introduction
  • URL, for installation instructions / Getting ready
• scikit-learn
  • text data, handling /
• scikit-learn package
  • about / Introduction
  • URL / Getting started with scikit-learn
  • overview / Getting started with scikit-learn, How to do it...
  • URL, for installing / Getting ready
  • API / The scikit-learn API
  • fit() method / The scikit-learn API
  • predict() method / The scikit-learn API
  • references / There's more…
• SciPy
  • about / A brief historical retrospective on Python as a scientific environment
  • ordinary differential equation, simulating with / Simulating an ordinary differential equation with SciPy, How to do it..., How it works...
• scipy.optimize module
  • reference manual / References
  • about / How to do it…, How to do it…
  • references / There's more…, There's more…
• scipy.spatial.voronoi module
  • reference link, for documentation / There's more…
• seaborn
  • statistical plots, creating with / Creating beautiful statistical plots with seaborn, How to do it…
  • about / Creating beautiful statistical plots with seaborn
  • URL, for installation instructions / Getting ready
• security, notebooks / Security in notebooks
• segmentation tutorial, scikit-image
  • reference link / There's more...
• self.send_response() method
  • IOPub socket / How it works...
  • message type / How it works...
• sequential locality / Why are NumPy arrays efficient?
• serial dependence
  • reference / There's more...
• shader composition system
  • about / Vispy for scientific visualization
• shaders
  • about / How to do it…
  • vertex shaders / How it works…
  • fragment shaders / How it works…
• shape, array / How it works...
• Shapefile
  • URL / References, Manipulating geospatial data with Shapely and basemap
  • about / Manipulating geospatial data with Shapely and basemap
• Shapely
  • about / Geometry in Python, Manipulating geospatial data with Shapely and basemap
  • URL / References, Getting ready
  • geospatial data, manipulating with / How to do it…
• shortest paths
  • reference link / Problems in graph theory, There's more…
• shortest_path() function / How to do it…
• shortest_path function / How it works…
• sigmoid function
  • about / How it works...
• signal processing
  • references / References
• signals
  • about / Introduction
  • analog / Analog and digital signals
  • digital / Analog and digital signals
• SIMD paradigm
  • about / Writing massively parallel code for NVIDIA graphics cards (GPUs) with CUDA
• SimpleCV
  • URL / Introduction
• simulated annealing algorithm
  • about / How it works…
  • reference link / There's more…
• simulated annealing method
  • about / How to do it…
• Single Instruction, Multiple Data (SIMD) / Understanding the internals of NumPy to avoid unnecessary array copying
  • about / There's more…
• Singular Value Decomposition (SVD)
  • about / How it works...
• singular values
  • about / How it works...
• six module
  • about / Writing code that works in Python 2 and Python 3
  • URL / Writing code that works in Python 2 and Python 3
• small-world graphs
  • reference link / References
• small-world networks
  • about / Random graphs
• Sobel filter / How it works...
  • reference link / There's more...
• social data analysis, Python
  • reference / There's more…
• social network
  • analyzing, with NetworkX / Analyzing a social network with NetworkX, How to do it…
• solve_congruence() function / How it works...
• SOPform() function
  • about / How it works...
• sounds
  • about / Sounds
• sound synthesizer
  • creating, in notebook / Creating a sound synthesizer in the notebook, How it works...
• SourceForge
  • about / Getting ready
• spam filtering / Supervised learning
• sparse decomposition
  • about / Compressed sensing
• sparse matrices
  • about / There's more...
  • references / There's more...
• sparse matrix
  • about /
• spatial locality / Why are NumPy arrays efficient?
• Spatial Poisson process
  • reference / There's more...
• speech sounds
  • digital filters, applying to / How to do it…, How it works...
• Sphinx
  • URL / How to do it…
  • about / How to do it…
• Split Bregman algorithm
  • reference link / There's more...
• Split Bregman method
  • about / How it works...
• Spyder
  • about / Integrated Development Environments
• SSE / Why are NumPy arrays efficient?
• Stack Overflow
  • URL / How to do it…, How to do it…
• standalone Python programs
  • memory_profiler package, using for / Using memory_profiler for standalone Python programs
• stash
  • about / Stashing
• stashing
  • about / Stashing
• state diagram / How it works...
• statistical average
  • about / Frequentist and Bayesian methods
• statistical data analysis
  • about / What is statistical data analysis?
• statistical hypothesis testing
  • about / Getting started with statistical hypothesis testing – a simple z-test
  • references / There's more...
• statistical inference
  • about / Exploration, inference, decision, and prediction
• statistical plots
  • creating, with seaborn / Creating beautiful statistical plots with seaborn, How to do it…
• statistical textbooks
  • reference / Parametric and nonparametric inference methods
• statistics
  • reference / Parametric and nonparametric inference methods
• statsmodels
  • URL / Getting ready
  • about / How to do it...
• stats module
  • about / Computing exact probabilities and manipulating random variables, How it works...
• stochastic algorithm
  • about / Deterministic and stochastic algorithms
• stochastic cellular automata
  • about / Introduction
• stochastic differential equation
  • simulating / How to do it..., How it works...
• stochastic differential equations
  • reference / There's more...
• Stochastic Differential Equations (SDEs)
  • about / Introduction, Simulating a stochastic differential equation
• stochastic dynamical systems
  • about / Introduction
  • reference / References
• Stochastic Partial Differential Equations (SPDEs)
  • about / Introduction
• stream processors
  • about / How it works…
• strided indexing scheme / How it works...
• strides
  • about / Using stride tricks with NumPy
• stride tricks
  • using, with NumPy / Using stride tricks with NumPy, How to do it..., How it works...
  • rolling average algorithm, implementing with / Implementing an efficient rolling average algorithm with stride tricks, How to do it...
• structure tensor / How it works...
  • reference link / There's more...
• structuring element / How it works...
• subplots() function / How to do it…
• Sum of Products
  • reference link / There's more...
• supervised learning
  • about / Learning from data, Supervised learning
  • reference link / Supervised learning
• Support Vector Classifier (SVC)
  • about / How to do it...
• support vector machines (SVMs)
  • about / Using support vector machines for classification tasks
  • used, for classifying tasks / How to do it..., How it works...
  • references / There's more…
• SVD decomposition
  • reference link / There's more…
• SVG (Scalable Vector Graphics)
  • about / How to do it...
• SWIG
  • about / Introduction
• symbolic computing, SymPy / How to do it..., How it works...
• SymPy
  • about / Introduction, Getting ready
  • used, for symbolic computing / How to do it..., How it works...
  • references / There's more...
  • number theory / A bit of number theory with SymPy, How to do it..., How it works...
• Synthesizer
  • URL / There's more...

T

• %%timeit cell magic / How it works...
• %timeit command / How it works...
• 2to3 tool
  • about / Supporting both Python 2 and Python 3
  • using / Using 2to3
  • URL / Using 2to3
• task interface
  • URL, for documentation / There's more…
• tasks
  • classifying, support vector machines (SVMs) used / How to do it..., How it works...
• term frequency-inverse document-frequency
  • reference link /
• test-driven development
  • about / Workflows with unit testing
• test coverage
  • about / Test coverage
• test functions for optimization
  • reference / How to do it…
• test set
  • about / Supervised learning
• test statistics
  • about / How to do it...
• Text-To-Speech (TTS) / How to do it…
• text data
  • handling, with scikit-learn /
• text editor
  • IPython, using with / IPython and text editor
• text feature extraction, scikit-learn
  • reference link /
• tf-idf
  • about /
• Theano
  • about / How it works…
  • URL / There's more…
• thread
  • about / How it works…
• timbre
  • about / How it works...
  • URL / There's more...
• time
  • evaluating, by statement in IPython / How it works...
• time-dependent signals
  • about / Introduction
• timeit.timeit() function
  • about / There's more...
• time profiling
  • about / Introduction
• time series
  • about / Introduction, How it works...
  • autocorrelation, computing of / Computing the autocorrelation of a time series, How to do it..., How it works...
  • reference / There's more...
• topological sort
  • used for resolving dependencies, in directed acyclic graph / Resolving dependencies in a directed acyclic graph with a topological sort, How to do it…
• topological sorting
  • about / Resolving dependencies in a directed acyclic graph with a topological sort, There's more…
  • reference link / There's more…
• Tornado
  • reference / Architecture of the IPython notebook
• TortoiseGit
  • URL / Getting ready
• total time
  • about / How it works...
• total variation / How it works...
• total variation denoising
  • about / How it works...
  • reference link / There's more...
• trace module
  • reference / Tracing the step-by-step execution of a Python program
• tracing tools
  • about / Tracing the step-by-step execution of a Python program
• train a cascade
  • reference link / There's more...
• training set
  • about / Supervised learning
• trait attributes
  • about / How it works...
• transformations
  • about / Vispy for scientific visualization
• transition matrix / How it works...
• Traveling Salesman Problem
  • reference link / Problems in graph theory
• truth table
  • Boolean propositional formula, finding from / Finding a Boolean propositional formula from a truth table, How to do it...
• turbulence
  • about / Differential equations
• Turing complete
  • about / How it works...
• Twitter API, rate limit
  • URL / Getting ready
• Twitter Developers website
  • URL / Getting ready
• Twitter Python package
  • URL / Getting ready
• two-dimensional array
  • about / How to do it...
• typed memory views
  • about / How it works…

U

• unconstrained optimization
  • about / Constrained and unconstrained optimization
• underfitting
  • about / Overfitting, underfitting, and the bias-variance tradeoff
• undirected graph
  • about / Graphs
• uniforms / How it works…
• unit testing
  • references / There's more...
• unit tests
  • writing, with nose / Writing unit tests with nose, How to do it..., How it works...
• univariate method
  • about / Univariate and multivariate methods
• unsupervised learning
  • about / Learning from data, Unsupervised learning
  • reference link / Unsupervised learning
• unsupervised learning, terms
  • clustering / Unsupervised learning
  • density estimation / Unsupervised learning
  • dimension reduction / Unsupervised learning
  • manifold learning / Unsupervised learning
• unsupervised learning methods
  • about / Reducing the dimensionality of a dataset with a principal component analysis
• unsupervised learning tutorial, scikit-learn
  • reference link / There's more…
• update() method / How it works...
• urllib2 module
  • about / How to do it...
• user profile
  • about / How it works...

V

• Vandermonde matrix
  • about / How to do it..., Polynomial interpolation with linear regression
  • reference link / Polynomial interpolation with linear regression
• variable / Learning from data
• variables / Univariate and multivariate methods
• variables types
  • attributes / How it works…
  • uniforms / How it works…
• variance
  • about / Overfitting, underfitting, and the bias-variance tradeoff
• varyings
  • uniforms / How it works…
  • texture samplers / How it works…
  / How it works…
• vector
  • about / How it works...
• vectorized instructions / Why are NumPy arrays efficient?
• vectorizer
  • about /
  • reference link /
• vectors
  • about / Learning from data
• vector space / Learning from data
• Vega
  • about / There's more…
  • URL / There's more…
• vertex shader
  • about / How to do it…
• vertices
  • about / Graphs
• views
  • about / What is the difference between in-place and implicit-copy operations?
• Vincent
  • about / There's more…, There's more…, Geographical Information Systems in Python
  • URL / There's more…, There's more…, References
• Viola-Jones object detection framework
  • about / How to do it...
  • reference link / There's more...
• violin plot
  • about / How to do it…
• VirtualBox
  • URL / Getting ready
• virtualenv
  • about / How to do it…
• Vispy
  • about / Getting started with Vispy for high-performance interactive data visualizations, How it works…
  • for scientific visualization / Vispy for scientific visualization
  • references / Vispy for scientific visualization
• Vispy, for high-performance interactive data visualizations / Getting started with Vispy for high-performance interactive data visualizations, How to do it…, How it works…, There's more…
• visuals
  • about / Vispy for scientific visualization
• VizQL
  • about / There's more…
  • URL / There's more…
• voice frequency
  • reference link / There's more...
• Von Neumann stability analysis
  • references / There's more...
• Voronoi diagram
  • about / Computing the Voronoi diagram of a set of points
  • computing, of set of points / Computing the Voronoi diagram of a set of points, How to do it…
  • reference link / There's more…

W

• Wakari
  • about / Alternative parallel computing solutions
• warps
  • about / How it works…
• wavelet transform
  • about / Inverse Fourier Transform
• weave module
  • about / There's more…
• webcam images
  • processing, from notebook / Processing webcam images in real time from the notebook, How to do it..., How it works...
• WebCL
  • about / There's more…
• WebGL
  • about / How it works…
• white box model
  • about / How it works...
• white noise
  • about / How it works...
  • reference / There's more...
• widget
  • references / There's more...
• widget architecture, IPython notebook 2.0+
  • references / There's more...
• Wiener process
  • reference / There's more...
• Windows
  • about / Windows
  • Python 32-bit / Python 32-bit
  • Python 64-bit / Python 64-bit
  • DLL Hell / DLL hell
• Windows installer, Chris Gohlke's
  • URL, for downloading / Getting ready
• Winpdb
  • about / GUI debuggers
• Wolfram's code
  • about / How to do it...
  • reference / There's more...
• workflow, Git branching / A typical workflow with Git branching, How to do it…, How it works…
• workflows
  • references / There's more…
• workflows, unit testing / Workflows with unit testing
• wrapper kernels
  • about / There's more...
  • reference / There's more...

Z

• z-score
  • about / How to do it...
• z-test
  • performing / Getting started with statistical hypothesis testing – a simple z-test, How to do it..., How it works...
• Zachary's Karate Club graph / How to do it…
• ZeroMQ (ZMQ)
  • URL / Architecture of the IPython notebook