更新时间：2021-08-05 17:18:04
封面
版权页
Credits
About the Author
About the Reviewers
www.PacktPub.com
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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
Chapter 1. A Tour of the IPython Notebook
Getting started with Anaconda or Wakari
Running the notebook
Example – the coffee cooling problem
Exercises
Summary
Chapter 2. 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
Chapter 3. Graphics with matplotlib
The plot function
Three-dimensional plots
Animations
Chapter 4. Handling Data with pandas
The Series class
The DataFrame class
Computational and graphics tools
An example with a realistic dataset
Chapter 5. Advanced Computing with SciPy Numba and NumbaPro
Overview of SciPy
Advanced mathematical algorithms with SciPy
Accelerating computations with Numba and NumbaPro
Appendix A. IPython Notebook Reference Card
Starting the notebook
Keyboard shortcuts
Importing modules
Getting help
Appendix B. A Brief Review of Python
Introduction
Basic types expressions and variables and their assignment
Sequence types
Dictionaries
Control structures
Appendix C. NumPy Arrays
Array creation and member access
Indexing and Slicing
Index
