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Programming Across Disciplines
with Python + AI Tools +
An eBook by John Gordon
Programming Across Disciplines
with Python + AI Tools
+
 
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Home  »  Chapter 10
Data & Datasets

Overview

Data and datasets in programming ...

Chapter Contents

  1. Data & Dataset Concepts
  2. Sources of Data for Humanities Research
  3. Organizaing and Structuring Data
  4. Data Cleaning & Preprocessing
  5. Data Quality
  6. Data Annotation & Augmentation
  7. Case Studies
  8. Example Project
    • Python Environment Setup
    • Data & Datasets in Python

Menu

  1. Preliminaries
  2. Programming Basics
  3. Decisions
  4. Repetition (a.k.a. Loops)
  5. Data Structures
  6. Functions
  7. Libraries
  8. Files
  9. Object-Oriented Programming (OOP)
  10. Data & Data Sets
    1. Data & Dataset Concepts
  11. Data Analytics
  12. Data Visualization
  13. Network Analysis
  14. Web Scraping
  15. Text Analysis
  16. Machine Learning (ML)
  17. Natural Language Processing (NLP)
  18. Neural Networks (NN)
  19. Large Language Models (LLMs)
  20. Data Science
  21. Artificial Intelligence (AI)
  22. Geospatial Analysis

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