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Python for Data Science - Home Python for Data Science - Home
  • Welcome

Introduction

  • First Steps
  • Prerequisites

Quick Start

  • 1. Whole Game
  • 2. Data Visualisation
  • 3. Workflow: Basics
  • 4. Data Transformation
  • 5. Workflow: Style
  • 6. Tidy Data
  • 7. Workflow: Writing Code
  • 8. Data Import
  • 9. Workflow: Packages and Environments
  • 10. Postscript: Getting Further Help

Visualise

  • 11. Visualisation
  • 12. Layers
  • 13. Exploratory Data Analysis
  • 14. Graphics for Communication

Transform

  • 15. Boolean Data
  • 16. Numbers
  • 17. Strings and Text
  • 18. Regular Expressions, aka regex
  • 19. Categorical Data
  • 20. Dates and Times
  • 21. Missing Values
  • 22. Joins

Import

  • 23. Spreadsheets
  • 24. Databases
  • 25. Nested Data
  • 26. Webscraping and APIs

Programme

  • 27. Functions
  • 28. Iteration
  • 29. The Command Line

Communicate

  • 30. Markdown
  • 31. Quarto

Appendix

  • Bibliography
  • Repository
  • Open issue

Index

By The Py4DS Community

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