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INTRODUCTION TO PYTHON FOR HUMANISTS

PREFACE

Preface

PART ONE: The Basics of Python

1. Introduction to Python
2. Data and Data Structures
- 2.1. Introduction to Data
- 2.2. Introduction to Data Structures
3. Loops and Logic
- 3.1. Introduction to Loops
- 3.2. Conditionals
4. Formal Coding: Functions, Classes, and Libraries
5. Working with External Data
6. Working with Data on the Web
- 6.1. Introduction to HTML
- 6.2. Scraping Web Pages with Requests and BeautifulSoup

PART TWO: Data Analysis with Pandas (Work in Progress)

1. Introduction to Pandas
- 1.1. Introduction to Pandas
- 1.2. The Basics of Pandas
2. Working with Data in Pandas
3. Searching for Data
4. Advanced Pandas

PART THREE: Natural Language Processing with spaCy

1. Introduction to spaCy
2. Rules-Based spaCy
3. Solving a Domain-Specific Problem: A Case Study with Holocaust NER

PART FOUR: OTHER APPLICATIONS OF PYTHON

1. Topic Modeling in Python
2. Text Analysis with BookNLP
3. Social Network Analysis

PART FIVE: DESIGNING AN APPLICATION WITH STREAMLIT

1. Introduction to Streamlit
2. Advanced Streamlit Features
3. Building a Database Query Application
- 3.1. Building a Database Query Application
- 3.2. Deploying an App in the Cloud with Streamlit Share

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Traditional LDA Topic Modeling

Traditional LDA Topic Modeling#

By William J.B. Mattingly

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