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Learning IPython for Interactive Computing and Data Visualization, Second Edition

You're reading from Learning IPython for Interactive Computing and Data Visualization, Second Edition Get started with Python for data analysis and numerical computing in the Jupyter notebook

Product type Paperback

Published in Oct 2015

Publisher

ISBN-13 9781783986989

Length 200 pages

Edition 1st Edition

Languages

Python

Concepts

Scientific Computing

Author (1):

Cyrille Rossant

View More author details

Table of Contents (8) Chapters

Preface

1. Getting Started with IPython FREE CHAPTER

2. Interactive Data Analysis with pandas

3. Numerical Computing with NumPy

4. Interactive Plotting and Graphical Interfaces

5. High-Performance and Parallel Computing

6. Customizing IPython

Index

Index

A

Anaconda
- Python, installing with / Installing Python with Anaconda
- downloading / Downloading Anaconda
- installing / Installing Anaconda
- terminal, opening / Opening a terminal
- home directory, finding / Finding your home directory
- system's PATH, manipulating / Manipulating your system path
- installation, testing / Testing your installation
- environments, managing / Managing environments
- conda commands / Common conda commands
- references / References
- notebooks, downloading / Downloading the notebooks
arguments / Functions
array manipulation routines
- references / Basic array manipulations
arrays
- creating / Creating arrays
- references / Creating arrays
- loading, from files / Loading arrays from files
- basic array manipulations / Basic array manipulations
- computing / Computing with NumPy arrays
- selection / Selection and indexing
- indexing / Selection and indexing
- boolean operations / Boolean operations on arrays
- mathematical operations / Mathematical operations...

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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.

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