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Programming Digital Humanities. Python (and More) for Academia

1110sillabo
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About

About

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.

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PythonEducationTextbooksHumanitiesPhilosophy

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About the Author

1110sillabo

Contents

Table of Contents

Prologue

  1. The Journey: Welcome to HumanDemia
  2. A Difficult Trade-Off (Including Book Summary)
  3. Who’s this Book for
  4. Getting the Most Out of this Book
  5. Summary

Part 1 Setting up the Environment

The Universal Typing Machine: Markdown and RStudio

  1. The Boring Side of Academia
  2. Installing RStudio
  3. RStudio Settings: Darkmode and Packages
  4. RStudio Automation for Humanities: TOCs and Bibliographies
  5. Markdown Basics
  6. Comparing this Setup with more Traditional Ones: The Benefits for Academics
  7. What’s More in RStudio
  8. RStudio Workflow: Learn, Write, Get It!
  9. Books with Markdown: the Bookdown Package
  10. Summary

Command Line Interface and Git(Hub): Get Ready for Machine Talk and Cooperating with the World

  1. Command Line Essentials
  2. Version Control with Git
  3. Installing Git (on Windows)
  4. Git Operations and Mechanics
  5. GitHub for the Humanities
  6. Summary

Getting Started with Python: Anaconda, Jupyter Notebooks, Google CoLabs and Virtual Environments

  1. Installing Python by Installing Anaconda: A Game of Snakes
  2. Using and Integrated Development Editor (IDE): The Benefits of Spyder
  3. IPython
  4. Jupyter Notebooks
  5. Command Line in Action: the Anaconda Prompt
  6. Google CoLab or Python on the web
  7. Virtual Environments: Preview into Coding Best Practices
  8. Summary

Part 2 Conquering Python

Python Crash Courses

  1. Look How Easy it Is to Write Python
  2. Python in General: A Readable Design
  3. General Structure of a Python Program
  4. Import: Load all the Tools you Need
  5. Functions: Let your Program Do Something for You
  6. Data Structure: Everything Has its Natural Place
  7. Flow Control
  8. Classes and Comprehensions: More Pythonic Things
  9. Functions Revisited: *Args Times!
  10. What’s In a Name: Naming Conventions and Styles
  11. Saving and Running a Python Program: .py and .pyw
  12. Working with Files
  13. Regular Expressions
  14. Learn by Doing for the Humanities: Matching Bibliographical Patterns
  15. Summary

Moving Forward: From Beginner to Pythonista

  1. Introduction: Five Sources of Mystery
  2. Approaching the Tutorials in a Good Way
  3. Reading the Docs
  4. Summary

Part 3 Programming for Fun and the Academia

StartUp Optimization, Corpora Builder and Corpora Opener

  1. Startup Optimization: The Challenge
  2. Corpora Builder: Program Overview
  3. Corpora Opener: Program Overview
  4. Summary

Scraping Bibliographies with Bibliographer

  1. Bibliographer: Program Overview
  2. Summary

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