دانلود کتاب IPython notebook essentials: compute scientific data and execute code interactively with NumPy and SciPy

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Chapter 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
Chapter 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
Chapter 3: Graphics with matplotlib
The plot function
Adding a title, labels, and a legend
Text and annotations
Three-dimensional plots
Animations
Summary
Chapter 4: Handling Data with pandas
The Series class
The DataFrame class
Computational and graphics tools
An example with a realistic dataset
Summary
Chapter 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
Appendix A: IPython Notebook Reference Card
Starting the notebook
Keyboard shortcuts
Shortcuts in the Edit mode
Shortcuts in the Command mode
Importing modules
Getting help
Appendix B: A Brief Review of Python
Introduction
Basic types, expressions, and variables and their assignment
Sequence types
Lists
Tuples
Strings