Packt+ | Advance your knowledge in tech

0

All Products

Best Sellers

New Releases

Books

Videos

Audiobooks

Free Learning

IPython Interactive Computing and Visualization Cookbook

You're reading from IPython Interactive Computing and Visualization Cookbook Over 100 hands-on recipes to sharpen your skills in high-performance numerical computing and data science in the Jupyter Notebook

Product type Paperback

Published in Jan 2018

Publisher Packt

ISBN-13 9781785888632

Length 548 pages

Edition 2nd Edition

Languages

Python

Tools

IPython

Concepts

Data Analysis

Author (1):

Cyrille Rossant

View More author details

Table of Contents (19) Chapters

IPython Interactive Computing and Visualization CookbookSecond Edition

Contributors

Preface

1. A Tour of Interactive Computing with Jupyter and IPython FREE CHAPTER

2. Best Practices in Interactive Computing

3. Mastering the Jupyter Notebook

4. Profiling and Optimization

5. High-Performance Computing

6. Data Visualization

7. Statistical Data Analysis

8. Machine Learning

9. Numerical Optimization

10. Signal Processing

11. Image and Audio Processing

12. Deterministic Dynamical Systems

13. Stochastic Dynamical Systems

14. Graphs, Geometry, and Geographic Information Systems

15. Symbolic and Numerical Mathematics

Index

Chapter 1. A Tour of Interactive Computing with Jupyter and IPython

In this chapter, we will cover the following topics:

Introducing IPython and the Jupyter Notebook
Getting started with exploratory data analysis in the Jupyter Notebook
Introducing the multidimensional array in NumPy for fast array computations
Creating an IPython extension with custom magic commands
Mastering IPython's configuration system
Creating a simple kernel for Jupyter

You have been reading a chapter from

IPython Interactive Computing and Visualization Cookbook - Second Edition

Published in: Jan 2018

Publisher: Packt

ISBN-13: 9781785888632

© 2018 Packt Publishing Limited All Rights Reserved

Register for a free Packt account to unlock a world of extra content!

A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.

Unlock this book and the full library FREE for 7 days

Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of

Start free trial

Renews at ₹800/month. Cancel anytime

Authors (1)

Cyrille Rossant

Cyrille Rossant

Cyrille Rossant, PhD, is a neuroscience researcher and software engineer at University College London. He is a graduate of École Normale Supérieure, Paris, where he studied mathematics and computer science. He has also worked at Princeton University and Collège de France. While working on data science and software engineering projects, he gained experience in numerical computing, parallel computing, and high-performance data visualization. He is the author of Learning IPython for Interactive Computing and Data Visualization, Second Edition, Packt Publishing.

See other products by Cyrille Rossant

Other recommended products

Related to this chapter

Python High Performance

Python High Performance

Python is a versatile language that has found applications in many industries. The clean syntax, rich standard library, and vast selection of third-party libraries makes Python a wildly popular language.

Applying Math with Python

Applying Math with Python

Python has a number of powerful packages to help anyone tackle complex mathematical problems in a simple and efficient way. This practical guide explains how to model real-world problems as mathematical objects in Python and how to perform computations, and interpret results. It explores Python lang to solve a variety of math and statistics problems.

Jul 2020 11h 56m

Hands-On Image Processing with Python

Hands-On Image Processing with Python

This book covers how to use the image processing libraries in Python. It will enable you to write code snippets to implement complex image processing algorithms such as image enhancement, filtering, segmentation, object detection, and more. You will also be able to use machine learning and deep learning models and learn to implement them with ease.

Nov 2018 16h 24m

Mastering Numerical Computing with NumPy

Mastering Numerical Computing with NumPy

Mastering Numerical Computing with Python guides you in performing complex computing with cutting-edge coverage on advanced concepts such as exploratory data analysis and clustering algorithms. You'll become an expert in addressing matrix calculations, and write efficient NumPy codes for implementing algorithms with real-world examples.

Jun 2018 8h 16m

Scientific Computing with Python

Scientific Computing with Python

Python is an efficient tool for coupling scientific computing and mathematics. This book teaches you how to use it for linear algebra, arrays, plotting, iterating, functions, and polynomials. You'll explore task automation and understand essential math concepts and algorithms along with integrations for faster computation in scientific computing.

Jul 2021 13h 4m

Hands-On Simulation Modeling with Python

Hands-On Simulation Modeling with Python

Developers working with the simulation models will be able to put their knowledge to work with this practical guide. You will work with real-world data to uncover various patterns used in complex systems using Python. The book provides a hands-on approach to implementation and associated methodologies to improve or optimize systems.

Jul 2020 11h 32m

Python Data Analysis

Python Data Analysis

This book will show data analysis tasks, ranging from data retrieval, cleaning, manipulation, visualization, and storage to complex analysis and modeling using a variety of modules such as NumPy, SciPy, matplotlib, pandas, scikit-learn, and NLTK. You will be able to analyze different kinds of data including numeric, text, time-series, graph, and social media.

Mar 2017 11h 0m

The SciPy stack is a popular Python ecosystem used for mathematical and scientific computing tasks. Learn how you can put to use the various functionalities offered by the SciPy stack in the most efficient way possible. With the help of this book, you will solve real-world problems in linear algebra, numerical analysis, visualization, and more.

Dec 2017 12h 52m

Mastering pandas

Mastering pandas

pandas is a popular Python library used by data scientists and analysts worldwide to manipulate and analyze their data. This book presents useful techniques and real-world examples on getting the most out of pandas for expert-level data manipulation, analysis and visualization.

Oct 2019 22h 28m

Python Data Science Essentials

Python Data Science Essentials

Python Data Science Essentials, Third Edition provides modern insight in setting up and performing data science operations effectively using the latest python tools and libraries. It builds faster governance on the most essential tasks such as data munging and pre-processing, along with all the techniques you require.

Sep 2018 15h 44m

Personalised recommendations for you

Based on your interests and search pattern

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Microsoft Power BI Cookbook

Microsoft Power BI Cookbook

Microsoft Power BI is the most sought-after platform for BI professionals' visualization needs. Explore the latest Power BI features, future AI enhancements, and integration with other Power Platform tools via new recipes in this updated edition.

Jul 2024 19h 56m

RAG-Driven Generative AI

RAG-Driven Generative AI

Explore the transformative potential of RAG-driven LLMs, computer vision, and generative AI with this comprehensive guide, from basics to building a complex RAG pipeline

Sep 2024 11h 8m

Building AI Intensive Python Applications

Building AI Intensive Python Applications

Unlock the power of generative AI with LLMs, vector databases, Python, and MongoDB. Build intelligent apps, master retrieval-augmented generation, optimize models, and explore real-world use cases.

Sep 2024 9h 56m

Using Stable Diffusion with Python

Using Stable Diffusion with Python

This book shows you how to use Python to control Stable Diffusion and generate high-quality images. In addition to covering the basic usage of the diffusers package, the book provides solutions for extending the package for more advanced purposes.

Jun 2024 11h 44m

Getting Started with DuckDB

Getting Started with DuckDB

This hands-on book teaches you to analyze large datasets with blazing speed and ease. You will learn how to use DuckDB to quickly load, query, transform, analyze, and visualize data effectively through a series of practical examples.

Jun 2024 12h 44m

Databricks Certified Associate Developer for Apache Spark Using Python

Databricks Certified Associate Developer for Apache Spark Using Python

This guide gets you ready for certification with expert-backed content, key exam concepts, and topic reviews. Additionally, you'll be able to make the most of Apache Spark 3.0 to modernize workloads and more using specific tools and techniques.

Elastic Stack 8.x Cookbook

Elastic Stack 8.x Cookbook

With its practical approach and real-world examples, this essential resource explores the full potential of Elastic Stack for data-driven projects. Learn how to build scalable and efficient data analytics and search solutions using Elastic Stack.

Jun 2024 22h 56m

Google Machine Learning and Generative AI for Solutions Architects

Google Machine Learning and Generative AI for Solutions Architects

Whether you are relatively new to AI/ML or an experienced solutions architect working to address emerging business challenges, this book covers everything you need to design, implement, and manage complex AI/ML workloads on Google Cloud.

Jun 2024 18h 24m

Generative AI with Amazon Bedrock

Generative AI with Amazon Bedrock

This book provides a hands-on approach to building generative AI applications at scale, covering several architectural patterns and use cases to help you solve business problems and innovate within your organization.

Jul 2024 12h 48m