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IPython Notebook Essentials

By : Luiz Felipe Martins
Book Image

IPython Notebook Essentials

By: Luiz Felipe Martins

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IPython Notebook Essentials
Luiz Felipe Martins
Nov, 2014 | 190 pages
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Table of Contents (15 chapters)
IPython Notebook Essentials
IPython Notebook Essentials
Credits
Credits
About the Author
About the Author
About the Reviewers
About the Reviewers
www.PacktPub.com
www.PacktPub.com
Preface
Preface
Free Chapter
1
A Tour of the IPython Notebook
A Tour of the IPython Notebook
Getting started with Anaconda or Wakari
Running the notebook
Example – the coffee cooling problem
Exercises
Summary
2
The Notebook Interface
The Notebook Interface
Editing and navigating a notebook
IPython magics
Interacting with the operating system
Running scripts, loading data, and saving data
The rich display system
Summary
3
Graphics with matplotlib
Graphics with matplotlib
The plot function
Three-dimensional plots
Animations
Summary
4
Handling Data with pandas
Handling Data with pandas
The Series class
The DataFrame class
Computational and graphics tools
An example with a realistic dataset
Summary
5
Advanced Computing with SciPy, Numba, and NumbaPro
Advanced Computing with SciPy, Numba, and NumbaPro
Overview of SciPy
Advanced mathematical algorithms with SciPy
Accelerating computations with Numba and NumbaPro
Summary
IPython Notebook Reference Card
IPython Notebook Reference Card
Starting the notebook
Keyboard shortcuts
Importing modules
Getting help
A Brief Review of Python
A Brief Review of Python
Introduction
Basic types, expressions, and variables and their assignment
Sequence types
Dictionaries
Control structures
Summary
NumPy Arrays
NumPy Arrays
Introduction
Array creation and member access
Indexing and Slicing
Index
Index

Appendix C. NumPy Arrays

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