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IPython Notebook Essentials
Table of Contents
IPython Notebook Essentials
Credits
About the Author
About the Reviewers
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Preface
What this book covers
What you need for this book
Who this book is for
Conventions
Reader feedback
Customer support
Errata
Piracy
Questions
1. A Tour of the IPython Notebook
Getting started with Anaconda or Wakari
Installing Anaconda
Running the notebook
Creating a Wakari account
Creating your first notebook
Example – the coffee cooling problem
Exercises
Summary
2. The Notebook Interface
Editing and navigating a notebook
Getting help and interrupting computations
The Edit mode
The Command mode
Cell types
IPython magics
Interacting with the operating system
Saving the notebook
Converting the notebook to other formats
Running shell commands
Running scripts, loading data, and saving data
Running Python scripts
Running scripts in other languages
Loading and saving data
The rich display system
Images and YouTube videos
HTML
Summary
3. Graphics with matplotlib
The plot function
Adding a title, labels, and a legend
Text and annotations
Three-dimensional plots
Animations
Summary
4. 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
Overview of SciPy
Advanced mathematical algorithms with SciPy
Solving equations and finding optimal values
Calculus and differential equations
Accelerating computations with Numba and NumbaPro
Summary
A. IPython Notebook Reference Card
Starting the notebook
Keyboard shortcuts
Shortcuts in the Edit mode
Shortcuts in the Command mode
Importing modules
Getting help
B. A Brief Review of Python
Introduction
Basic types, expressions, and variables and their assignment
Sequence types
Lists
Tuples
Strings
Dictionaries
Control structures
Functions, objects, and methods
Functions
Objects and methods
Summary
C. NumPy Arrays
Introduction
Array creation and member access
Indexing and Slicing
Index
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