📖 History

Beautiful Soup

• Description: A library for pulling data out of HTML and XML files.

• Use Case: Scraping historical data, documents, and archives from websites for digital humanities projects.

• Documentation: Beautiful Soup Documentation

• GitHub Repository: Beautiful Soup GitHub

Gensim

• Description: A robust semantic modeling library, useful for unsupervised topic modeling and natural language processing.

• Use Case: Analyzing historical texts and documents to uncover thematic structures and trends over time.

• Documentation: Gensim Documentation

• GitHub Repository: Gensim GitHub

Matplotlib

• Description: A plotting library for creating static, animated, and interactive visualizations in Python.

• Use Case: Visualizing historical data, such as timelines, population growth, or economic changes over time.

• Documentation: Matplotlib Documentation

• GitHub Repository: Matplotlib GitHub

NetworkX

• Description: A Python package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks.

• Use Case: Modeling historical events and relationships, such as social networks, trade routes, or communication networks in historical contexts.

• Documentation: NetworkX Documentation
• GitHub Repository: NetworkX GitHub

NLTK (Natural Language Toolkit)

• Description: A leading platform for building Python programs to work with human language data.

• Use Case: Text analysis and linguistic study of historical documents, including language evolution, stylistic changes, and content analysis.

• Documentation: NLTK Documentation
• GitHub Repository: NLTK GitHub

NumPy

• Description: Fundamental package for scientific computing with Python.

• Use Case: Handling numerical data for statistical analysis in historical research.

• Documentation: NumPy Documentation
• GitHub Repository: NumPy GitHub

OCRmyPDF

• Description: Adds an OCR text layer to PDF files, allowing them to be searched.

• Use Case: Converting scanned historical documents and texts into searchable and analyzable PDF formats.

• Documentation: OCRmyPDF GitHub

Pandas

• Description: Data analysis and manipulation library.

• Use Case: Organizing, analyzing, and manipulating historical datasets, such as census data, economic records, or archaeological findings.

• Documentation: Pandas Documentation
• GitHub Repository: Pandas GitHub

Plotly

• Description: An interactive graphing library.

• Use Case: Creating interactive visualizations for presenting historical data and findings.

• Documentation: Plotly Documentation
• GitHub Repository: Plotly GitHub

spaCy

• Description: An open-source software library for advanced natural language processing.

• Use Case: Processing and analyzing large volumes of historical texts for semantic content, named entity recognition, and thematic analysis.

• Documentation: spaCy Documentation
• GitHub Repository: spaCy GitHub

TextBlob

• Description: A library for processing textual data, providing simple APIs for common natural language processing tasks.

• Use Case: Sentiment analysis, part-of-speech tagging, and classification of historical narratives and documents.

• Documentation: TextBlob Documentation
• GitHub Repository: TextBlob GitHub

Tesseract OCR

• Description: An optical character recognition (OCR) engine.

• Use Case: Extracting text from images of historical documents, enabling digitization and analysis of archival materials.

• Documentation: Tesseract OCR GitHub

---