Python数据分析基础（影印版 英文版） [Foundations For Analytics With Python]这本书，是由东南大学出版社在2017-02-01月出版的，本书著作者是 Clinton·W.Brownley 著，此次本版是第1次印刷发行， 国际标准书号(ISBN)：9787564170004，品牌为南京东南大学出版社, 这本书的包装是16开平装，所用纸张为胶版纸，全书共有322页字数43万1000字， 是一本非常不错的Python编程书籍。
此书内容摘要
如果你像75亿Excel用户中的许多人一样，想要对数据做很多的事情，比如对数百个文件重复类似的分析，或者将许多文件中的数据组合在一起进行分析，这本实用指南向雄心勃勃的非程序员说明了如何通过使用Python来自动化和扩展对不同格式数据的处理和分析。《Python数据分析基础（影印版 英文版）》作者讲解Python基础知识后，你将能够编写简单的脚本来处理电子表格以及数据库中的数据。你还将学习如何使用多个Python模块来解析文件、分组数据和生成统计数据。
这一切都无需编程基础。
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暂无.Python数据分析基础（影印版 英文版） [Foundations For Analytics With Python]图书的目录
Preface1． Python Basics
How to Create a Python Script
How to Run a Python Script
Useful Tips for Interacting with the Command Line
Pythons Basic Building Blocks
Numbers
Strings
Regular Expressions and Pattern Matching
Dates
Lists
Tuples
Dictionaries
Control Flow
Reading a Text File
Create a Text File
Script and Input File in Same Location
Modern File-Reading Syntax
Reading Multiple Text Files with glob
Create Another Text File
Writing to a Text File
Add Code to first_script．py
Writing to a Comma-Separated Values （CSV） File
print Statements
Chapter Exercises
2． Comma-Separated Values （CSV） Files
Base Python Versus pandas
Read and Write a CSV File （Part 1）
How Basic String Parsing Can Fail
Read and Write a CSV File （Part 2）
Filter for Specific Rows
Value in Row Meets a Condition
Value in Row Is in a Set of Interest
Value in Row Matches a Pattern/Regular Expression
Select Specific Columns
Column Index Values
Column Headings
Select Contiguous Rows
Add a Header Row
Reading Multiple CSV Fries
Count Number of Files and Number of Rows and Columns in Each File
Concatenate Data from Multiple Files
Sum and Average a Set of Values per File
Chapter Exercises
3． Excel Files
Introspecting an Excel Workbook
Processing a Single Worksheet
Read and Write an Excel File
Filter for Specific Rows
Select Specific Columns
Reading All Worksheets in a Workbook
Filter for Specific Rows Across All Worksheets
Select Specific Columns Across All Worksheets
Reading a Set of Worksheets in an Excel Workbook
Filter for Specific Rows Across a Set of Worksheets
Processing Multiple Workbooks
Count Number of Workbooks and Rows and Columns in Each Workbook
Concatenate Data from Multiple Workbooks
Sum and Average Values per Workbook and Worksheet
Chapter Exercises
4． Databases
Pythons Built-in sqlite3 Module
Insert New Records into a Table
Update Records in a Table
MySQL Database
Insert New Records into a Table
Query a Table and Write Output to a CSV File
Update Records in a Table
Chapter Exercises
5． Applications
Find a Set of Items in a Large Collection of Files
Calculate a Statistic for Any Number of Categories from Data in a CSV File
Calculate Statistics for Any Number of Categories from Data in a Text File
Chapter Exercises
6． Figures and Plots
matplotlib
Bar Plot
Histogram
Line Plot
Scatter Plot
Box Plot
pandas
ggplot
seaborn
7． Descriptive Statistics and Modeling
Datasets
Wine Quality
Customer Churn
Wine Quality
Descriptive Statistics
Grouping， Histograms， and t-tests
Pairwise Relationships and Correlation
Linear Regression with Least-Squares Estimation
Interpreting Coefficients
Standardizing Independent Variables
Making Predictins
Customer Churn
Logistic Regression
Interpreting Coefficients
Making Predictions
8． Scheduling Scripts to Run Automatically
Task Scheduler （Windows）
The cron Utility （macOS and Unix）
Crontab File： One-Time Set-up
Adding Cron Jobs to the Crontab File
9． Where to Go from Here
Additional Standard Library Modules and Built-in Functions
Python Standard Library （PSL）： A Few More Standard Modules
Built-in Functions
Python Package Index （PyPI）： Additional Add-in Modules
NumPy
SciPy
Scikit-Learn
A Few Additional Add-in Packages
Additional Data Structures
Stacks
Queues
Graphs
Trees
Where to Go from Here
A． Download Instruaions
B． Answers to Exercises
Bibliography
Index
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