PYTHON数据科学手册(影印版)

PYTHON数据科学手册(影印版)
作 者: Jake VanderPlas
出版社: 东南大学出版社
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作者简介

暂缺《PYTHON数据科学手册(影印版)》作者简介

内容简介

本书是对以数据深度需求为中心的科学、研究以及发现的计算和统计方法在广度上的参考书。具有编程背景的以及打算有效第使用Python用于数据科学工作的人,将会学习如何面对一系列的问题,如如何将数据格式读取到脚本中?如何操作、改变以及清晰数据?如何对数据可视化?如何使用数据获得更深的洞察力、解答问题,或者开发统计或机器学习模型? 本书是对每日使用Python作为数据科学工作的参考书,其涵盖了有效第处理计算和统计的技巧。所用的例子是经常被引用的,这显示了广泛的开源Python工具可被用作分析、操作、可视化以及学习数据。

图书目录

Preface

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

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

The Basics of NumPy Arrays

NumPy Array Attributes

Array Indexing: Accessing Single Elements

Array Slicing: Accessing Subarrays

Reshaping of Arrays

Array Concatenation and Splitting

Computation on NumPy Arrays: Universal Functions

The Slowness of Loops

Introducing UFuncs

Exploring NumPy's UFuncs

Advanced Ufunc Features

Ufuncs: Learning More

Aggregations: Min, Max, and Everything in Between

Summing the Values in an Array

Minimum and Maximum

Example: What Is the Average Height of US Presidents?

Computation on Arrays: Broadcasting

Introducing Broadcasting

Rules of Broadcasting

Broadcasting in Practice

……

3.Data Manipulation with Pandas

4.Visualization with Matplotlib

5.Machine Learning

Index