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Python for Humanities and Social Sciences

This repository contains Jupyter notebooks for the series of workshops given by the Center for Interdisciplinary Digital Research (CIDR), a unit of Stanford University Libraries, and its associated partners, on Python related topics specially crafted towards the Humanities and Social Sciences.

Introduction to Python [Notebook | Solutions]

This workshop covers basic Python syntax and project set up through the teaching of basic web scraping with BeautifulSoup.

Data Manipulation and Visualization with Python [Notebook | Solutions]

This workshop guides students through fundamentals of data manipulation and visualization with Pandas, matplotlib, and Seaborn.

Natural Language Processing with Python [Notebook | Solutions]

This workshop teaches students natural language processing in Python, with topics such as tokenization, part of speech tagging, and sentiment analysis, using TextBlob.

Introduction to Machine Learning [Notebook | Solutions]

This workshop introduces the basic workflow of machine learning in Python using scikit-learn. It covers topics from feature engineering or feature learning to model evaluation and selection.

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