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Data Wrangling with Python
最新章節：
Appendix
Fordatatobeusefulandmeaningful,itmustbecuratedandrefined.DataWranglingwithPythonteachesyouthecoreideasbehindtheseprocessesandequipsyouwithknowledgeofthemostpopulartoolsandtechniquesinthedomain.ThebookstartswiththeabsolutebasicsofPython,focusingmainlyondatastructures.ItthendelvesintothefundamentaltoolsofdatawranglinglikeNumPyandPandaslibraries.You’llexploreusefulinsightsintowhyyoushouldstayawayfromtraditionalwaysofdatacleaning,asdoneinotherlanguages,andtakeadvantageofthespecializedpre-builtroutinesinPython.ThiscombinationofPythontipsandtrickswillalsodemonstratehowtousethesamePythonbackendandextract/transformdatafromanarrayofsourcesincludingtheInternet,largedatabasevaults,andExcelfinancialtables.Tohelpyouprepareformorechallengingscenarios,you’llcoverhowtohandlemissingorwrongdata,andreformatitbasedontherequirementsfromthedownstreamanalyticstool.Thebookwillfurtherhelpyougraspconceptsthroughreal-worldexamplesanddatasets.Bytheendofthisbook,youwillbeconfidentinusingadiversearrayofsourcestoextract,clean,transform,andformatyourdataefficiently.
目錄(61章)
倒序
- 封面
- 版權頁
- Preface
- About the Book
- Chapter 1 Introduction to Data Wrangling with Python
- Introduction
- Python for Data Wrangling
- Lists Sets Strings Tuples and Dictionaries
- Summary
- Chapter 2 Advanced Data Structures and File Handling
- Introduction
- Advanced Data Structures
- Basic File Operations in Python
- Summary
- Chapter 3 Introduction to NumPy Pandas and Matplotlib
- Introduction
- NumPy Arrays
- Pandas DataFrames
- Statistics and Visualization with NumPy and Pandas
- Summary
- Chapter 4 A Deep Dive into Data Wrangling with Python
- Introduction
- Subsetting Filtering and Grouping
- Detecting Outliers and Handling Missing Values
- Concatenating Merging and Joining
- Useful Methods of Pandas
- Summary
- Chapter 5 Getting Comfortable with Different Kinds of Data Sources
- Introduction
- Reading Data from Different Text-Based (and Non-Text-Based) Sources
- Introduction to Beautiful Soup 4 and Web Page Parsing
- Summary
- Chapter 6 Learning the Hidden Secrets of Data Wrangling
- Introduction
- Advanced List Comprehension and the zip Function
- Data Formatting
- Identify and Clean Outliers
- Activity 8: Handling Outliers and Missing Data
- Summary
- Chapter 7 Advanced Web Scraping and Data Gathering
- Introduction
- The Basics of Web Scraping and the Beautiful Soup Library
- Reading Data from XML
- Reading Data from an API
- Fundamentals of Regular Expressions (RegEx)
- Summary
- Chapter 8 RDBMS and SQL
- Introduction
- Refresher of RDBMS and SQL
- Using an RDBMS (MySQL/PostgreSQL/SQLite)
- Summary
- Chapter 9 Application of Data Wrangling in Real Life
- Introduction
- Applying Your Knowledge to a Real-life Data Wrangling Task
- Activity 12: Data Wrangling Task – Fixing UN Data
- Activity 13: Data Wrangling Task – Cleaning GDP Data
- Activity 14: Data Wrangling Task – Merging UN Data and GDP Data
- Activity 15: Data Wrangling Task – Connecting the New Data to the Database
- An Extension to Data Wrangling
- Summary
- Appendix 更新時間：2021-06-11 13:40:41
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