Python数据分析基础-(影印版)

本书特色

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如果你像75亿Excel用户中的许多人一样，想要对数据做*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。
在《Python数据分析基础(影印版)(英文版)》作者克林顿·W.布朗利Clinton
Brownley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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目录

Preface
1. Python BasicsHow to Create a Python ScriptHow to Run a Python ScriptUseful Tips for Interacting with the Command LinePythons Basic Building BlocksNumbersStringsRegular Expressions and Pattern MatchingDatesListsTuplesDictionariesControl FlowReading a Text FileCreate a Text FileScript and Input File in Same LocationModern File-Reading SyntaxReading Multiple Text Files with globCreate Another Text FileWriting to a Text FileAdd Code to first_script.pyWriting to a Comma-Separated Values (CSV) Fileprint StatementsChapter Exercises
2. Comma-Separated Values (CSV) FilesBase Python Versus pandasRead and Write a CSV File (Part 1)How Basic String Parsing Can FailRead and Write a CSV File (Part 2)Filter for Specific RowsValue in Row Meets a ConditionValue in Row Is in a Set of InterestValue in Row Matches a Pattern/Regular ExpressionSelect Specific ColumnsColumn Index ValuesColumn HeadingsSelect Contiguous RowsAdd a Header RowReading Multiple CSV FriesCount Number of Files and Number of Rows and Columns in Each FileConcatenate Data from Multiple FilesSum and Average a Set of Values per FileChapter Exercises
3. Excel FilesIntrospecting an Excel WorkbookProcessing a Single WorksheetRead and Write an Excel FileFilter for Specific RowsSelect Specific ColumnsReading All Worksheets in a WorkbookFilter for Specific Rows Across All WorksheetsSelect Specific Columns Across All WorksheetsReading a Set of Worksheets in an Excel WorkbookFilter for Specific Rows Across a Set of WorksheetsProcessing Multiple WorkbooksCount Number of Workbooks and Rows and Columns in Each WorkbookConcatenate Data from Multiple WorkbooksSum and Average Values per Workbook and WorksheetChapter Exercises
4. DatabasesPythons Built-in sqlite3 ModuleInsert New Records into a TableUpdate Records in a TableMySQL DatabaseInsert New Records into a TableQuery a Table and Write Output to a CSV FileUpdate Records in a TableChapter Exercises
5. ApplicationsFind a Set of Items in a Large Collection of FilesCalculate a Statistic for Any Number of Categories from Data in a CSV FileCalculate Statistics for Any Number of Categories from Data in a Text FileChapter Exercises
6. Figures and PlotsmatplotlibBar PlotHistogramLine PlotScatter PlotBox Plotpandasggplotseaborn
7. Descriptive Statistics and ModelingDatasetsWine QualityCustomer ChurnWine QualityDescriptive StatisticsGrouping, Histograms, and t-testsPairwise Relationships and CorrelationLinear Regression with Least-Squares EstimationInterpreting CoefficientsStandardizing Independent VariablesMaking PredictionsCustomer ChurnLogistic RegressionInterpreting CoefficientsMaking Predictions
8. Scheduling Scripts to Run AutomaticallyTask Scheduler (Windows)The cron Utility (macOS and Unix)Crontab File: One-Time Set-upAdding Cron Jobs to the Crontab File
9. Where to Go from HereAdditional Standard Library Modules and Built-in FunctionsPython Standard Library (PSL): A Few More Standard ModulesBuilt-in FunctionsPython Package Index (PyPI): Additional Add-in ModulesNumPySciPyScikit-LearnA Few Additional Add-in PackagesAdditional Data StructuresStacksQueuesGraphsTreesWhere to Go from Here
A. Download Instruaions
B. Answers to Exercises
Bibliography
Index

封面

书名:Python数据分析基础-(影印版)

作者:克林顿.W.布朗利

页数:未知

定价:¥79.0

出版社:东南大学出版社

出版日期:2017-02-01

ISBN:9787564170004

PDF电子书大小:157MB 高清扫描完整版