Python

PoliPy: A Python Library for Scraping and Analyzing Privacy Policies

February 8, 2022
Nikita Samarin

In light of recent scandals involving the misuse and improper handling of personal data by large corporations, advocacy groups and regulators alike have given increased attention to the issue of consumer privacy [e.g., 1, 2, 3, 4, 5]. National and local governments have been enacting privacy legislation that requires companies to minimize the amount of data they collect, deters the collection of sensitive data, limits the purposes for which the data are used, and critically, gives users more transparency into data collection and use.

As part...

Python Text Analysis Fundamentals: Parts 1-3

February 15, 2022, 2:00pm
This three-part workshop series will prepare participants to move forward with research that uses text analysis, with a special focus on humanities and social science applications.

Portia Awuah

Instructor, Consultant
Energy and Resources Group

I am pursuing an MS. Energy and Resources with a focus on offgrid energy. My aim is to extend sustainable electricity supply to remote communities.

Lia Chin-Purcell

Consultant
School of Information

Hello! I am a first-year Masters's student at the School of Information in the MIMS program with a focus is in data science and ethics. Before joining Berkeley, I studied computer science at the University of Puget Sound.

Emily Kaner

Consultant
Public Health / City Planning

Emily Kaner is a 3rd year MPH/MCP student focused on the structural determinants of health, intersections between health and place, and the use of mixed methods in research. Her research explores contexts and meanings of substance use among different communities and she loves thinking through the challenges of mixed methods and qualitative research.

Tiffany Taylor

PhD Student
Anthropology

Tiffany Taylor is a doctoral student at the University of California, Berkeley. Previously, she received a Master of Public Health in Epidemiology from Columbia University's Mailman School of Public Health. She graduated from the University of Chicago with majors in Political Science, Sociology, and Comparative Race and Ethnic Studies (Asian American Studies). Some of her research interests include social medicine, educational sociology, and social demography. Additional interests include pilates, yoga, and fashion.

Python Data Wrangling and Manipulation with Pandas

February 15, 2022, 9:00am
Pandas is a Python package that provides fast, flexible, and expressive data structures designed to make working with 'relational' or 'labeled' data both easy and intuitive. It enables doing practical, real world data analysis in Python. In this workshop, we'll work with example data and go through the various steps you might need to prepare data for analysis.

Python Fundamentals: Parts 1-4

February 1, 2022, 2:00pm
This four-part, interactive workshop series is your complete introduction to programming Python for people with little or no previous programming experience. By the end of the series, you will be able to apply your knowledge of basic principles of programming and data manipulation to a real-world social science application.

Python Fundamentals: Parts 1-4

January 11, 2022, 10:00am
This four-part, interactive workshop series is your complete introduction to programming Python for people with little or no previous programming experience. By the end of the series, you will be able to apply your knowledge of basic principles of programming and data manipulation to a real-world social science application.

Working with State-of-the-Art NLP Models: A Friendly Introduction to Hugging Face

December 13, 2021
Sam Temlock

We often read about the many new advancements being made in the field of Natural Language Processing (NLP). Each month, leading organizations release new models that seem like magic to us, such as models that can write it’s own code based on user prompts [1] or are able to help answer our queries when we use Google Search [2]. Large AI research groups like OpenAI and Google spend many years and pour millions of...