Python Data Science Handbook - Info and Reading Options

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Intro -- Copyright -- Table of Contents -- Preface -- What Is Data Science? -- Who Is This Book For? -- Why Python? -- Python 2 Versus Python 3 -- Outline of This Book -- Using Code Examples -- Installation Considerations -- Conventions Used in This Book -- O'Reilly Safari -- How to Contact Us -- Chapter 1. IPython: Beyond Normal Python -- Shell or Notebook? -- Launching the IPython Shell -- Launching the Jupyter Notebook -- Help and Documentation in IPython -- Accessing Documentation with ? -- Accessing Source Code with ?? -- Exploring Modules with Tab Completion -- Keyboard Shortcuts in the IPython Shell -- Navigation Shortcuts -- Text Entry Shortcuts -- Command History Shortcuts -- Miscellaneous Shortcuts -- IPython Magic Commands -- Pasting Code Blocks: %paste and %cpaste -- Running External Code: %run -- Timing Code Execution: %timeit -- Help on Magic Functions: ?, %magic, and %lsmagic -- Input and Output History -- IPython's In and Out Objects -- Underscore Shortcuts and Previous Outputs -- Suppressing Output -- Related Magic Commands -- IPython and Shell Commands -- Quick Introduction to the Shell -- Shell Commands in IPython -- Passing Values to and from the Shell -- Shell-Related Magic Commands -- Errors and Debugging -- Controlling Exceptions: %xmode -- Debugging: When Reading Tracebacks Is Not Enough -- Profiling and Timing Code -- Timing Code Snippets: %timeit and %time -- Profiling Full Scripts: %prun -- Line-by-Line Profiling with %lprun -- Profiling Memory Use: %memit and %mprun -- More IPython Resources -- Web Resources -- Books -- Chapter 2. Introduction to NumPy -- Understanding Data Types in Python -- A Python Integer Is More Than Just an Integer -- A Python List Is More Than Just a List -- Fixed-Type Arrays in Python -- Creating Arrays from Python Lists -- Creating Arrays from Scratch -- NumPy Standard Data Types

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