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Become a Python Data Analyst

You're reading from Become a Python Data Analyst Perform exploratory data analysis and gain insight into scientific computing using Python

Product type Paperback

Published in Aug 2018

Publisher Packt

ISBN-13 9781789531701

Length 178 pages

Edition 1st Edition

Languages

Python

Tools

Pandas

Concepts

Data Analysis

Author (1):

Alvaro Fuentes

View More author details

Table of Contents (13) Chapters

Title Page

Copyright and Credits

Packt Upsell

Contributor

Preface

1. The Anaconda Distribution and Jupyter Notebook FREE CHAPTER

2. Vectorizing Operations with NumPy

3. Pandas - Everyone's Favorite Data Analysis Library

4. Visualization and Exploratory Data Analysis

5. Statistical Computing with Python

6. Introduction to Predictive Analytics Models

1. Other Books You May Enjoy

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Index

Introduction to SciPy

SciPy is a tool for doing scientific computing in Python. It is a Python-based ecosystem that is an open source software for math, science, and engineering. It contains various toolboxes dedicated to common issues in scientific computing. So, if you work in any scientific or engineering field, you will likely find the tools you need for doing scientific computing within the subpackages of SciPy. The following are the subpackages of SciPy:

scipy.io: This package provides a tool for dealing with file input/output
scipy.special: This package provides a tool for dealing with special functions
scipy.linalg: This package provides a tool for dealing with linear algebra operations
scipy.fftpack: This package provides a tool for dealing with fast Fourier transforms
scipy.stats: This package provides a tool for dealing with statistics and random numbers
scipy.interpolate: This package provides a tool for dealing with interpolation
scipy.integrate: This package provides a tool for...

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Authors (1)

Alvaro Fuentes

Alvaro Fuentes

Alvaro Fuentes is a senior data scientist with a background in applied mathematics and economics. He has more than 14 years of experience in various analytical roles and is an analytics consultant at one of the ‘Big Three' global management consulting firms, leading advanced analytics projects in different industries like banking, technology, and consumer goods. Alvaro is also an author and trainer in analytics and data science and has published courses and books, such as 'Become a Python Data Analyst' and 'Hands-On Predictive Analytics with Python'. He has also taught data science and related topics to thousands of students both on-site and online through different platforms such as Springboard, Simplilearn, Udemy, and BSG Institute, among others.

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