Programming Digital Humanities. Python (and More) for Academia
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Programming Digital Humanities. Python (and More) for Academia

About the Book

An introduction to programming for the Humanities. So open you can have the full book and code on GitHub: https://github.com/1110sillabo/ProgrammingDigitalHumanitiesBook.

About the Author

Table of Contents

  • Prologue
    • The Journey: Welcome to HumanDemia
    • A Difficult Trade-Off (Including Book Summary)
    • Who’s this Book for
    • Getting the Most Out of this Book
    • Summary
  • Part 1 Setting up the Environment
  • The Universal Typing Machine: Markdown and RStudio
    • The Boring Side of Academia
    • Installing RStudio
    • RStudio Settings: Darkmode and Packages
    • RStudio Automation for Humanities: TOCs and Bibliographies
    • Markdown Basics
    • Comparing this Setup with more Traditional Ones: The Benefits for Academics
    • What’s More in RStudio
    • RStudio Workflow: Learn, Write, Get It!
    • Books with Markdown: the Bookdown Package
    • Summary
  • Command Line Interface and Git(Hub): Get Ready for Machine Talk and Cooperating with the World
    • Command Line Essentials
    • Version Control with Git
    • Installing Git (on Windows)
    • Git Operations and Mechanics
    • GitHub for the Humanities
    • Summary
  • Getting Started with Python: Anaconda, Jupyter Notebooks, Google CoLabs and Virtual Environments
    • Installing Python by Installing Anaconda: A Game of Snakes
    • Using and Integrated Development Editor (IDE): The Benefits of Spyder
    • IPython
    • Jupyter Notebooks
    • Command Line in Action: the Anaconda Prompt
    • Google CoLab or Python on the web
    • Virtual Environments: Preview into Coding Best Practices
    • Summary
  • Part 2 Conquering Python
  • Python Crash Courses
    • Look How Easy it Is to Write Python
    • Python in General: A Readable Design
    • General Structure of a Python Program
    • Import: Load all the Tools you Need
    • Functions: Let your Program Do Something for You
    • Data Structure: Everything Has its Natural Place
    • Flow Control
    • Classes and Comprehensions: More Pythonic Things
    • Functions Revisited: *Args Times!
    • What’s In a Name: Naming Conventions and Styles
    • Saving and Running a Python Program: .py and .pyw
    • Working with Files
    • Regular Expressions
    • Learn by Doing for the Humanities: Matching Bibliographical Patterns
    • Summary
  • Moving Forward: From Beginner to Pythonista
    • Introduction: Five Sources of Mystery
    • Approaching the Tutorials in a Good Way
    • Reading the Docs
    • Summary
  • Part 3 Programming for Fun and the Academia
  • StartUp Optimization, Corpora Builder and Corpora Opener
    • Startup Optimization: The Challenge
    • Corpora Builder: Program Overview
    • Corpora Opener: Program Overview
    • Summary
  • Scraping Bibliographies with Bibliographer
    • Bibliographer: Program Overview
    • Summary
  • Notes

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