Python

Rural vs. Urban: Using Python to Explore Legislative Data

November 8, 2021
Kellie Hogue

Before COVID-19, becoming a data scientist was never on my radar. As a policy analyst for the California Research Bureau, a legislative research and reference section of the California State Library, I’ve worked on a variety of projects and requests. For the last 8 years, my work has focused on producing timely, confidential ...

Ash Tan

Consultant
School of Information

Ash is a Masters of Information and Data Science student at the Berkeley School of Information. He currently studies data collection, analysis, and visualization, as well as research design and machine learning techniques. His interests include cognitive science, Wikipedia data, and privacy research.

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Priscila Amorim

Changemaker Technology Project
Data Science
Digital Health Social Justice

Priscila Amorim is a recent graduate of UC Berkeley's Bachelor's of Arts in Data Science program, and is currently attending Northwestern Univerisity for a Master's of Science in Data Science. Priscila is passionate about the intersection of technology and social justice, and in particular, health justice. Their goal is to work on climate justice through database management or data engineering to support data scientists and analysts in their work through the availability of ubiquitous data. Priscila is currently working on the Changemaker's Digital Health Project to help create...

Chun Ho Chow

Data Science Fellow
City and Regional Planning
Civil and Environmental Engineering

I'm a dual-degree MCP City Planning / MS Transportation Engineering student. My background is in physics, and I'm interested in understanding and modelling urban and regional systems, including their morphology/form, interactions, and fundamental dynamics, using complex systems and computational methods. I'm also interested in the emergence and evolution of social complexity, urbanism, and regional networks of cities.

Daphne Yang

Data Science Fellow
School of Information

Daphne is a current 5th-year graduate student at the School of Information with a keen interest in the intersection between healthcare and data science. She has prior work experience in the realm of public health, consulting, and research. Currently, she is a data science research intern at a DC consumer experience startup. She is particularly interested in how data can be used to power insights and help move society towards a more equitable future.

Ilya Akdemir

Data Science Fellow
School of Law

Ilya is a JSD candidate at UC Berkeley School of Law. His research focuses on natural language processing and machine learning applications that are motivated by both theoretical and practical questions in the legal domain.

Grazia Rovelli, Ph.D.

Data Science Fellow
Chemical Science Division (LBL)

Grazia is a postdoctoral scholar at the Chemical Science Division at Berkeley Lab and a Data Science Fellow at D-Lab. Her research has focused on several different aspects of atmospheric chemistry and she is now interested in data science and machine learning tools applied to atmospheric pollution problems.

Why Teaching Social Scientists How To Code Like A Professional Is Important

September 23, 2020
Jae Yeon Kim, Ph.D.

I use data science to study political learning, organization, and mobilization among marginalized populations. I have always loved programming and want to serve people lacking voice and representation in a society. I am blessed to have found and chosen computational social science—a field situated between social science and data science—as my main research area.

I also love teaching people how to code, especially social scientists, and I take that mission seriously. I have taught computational tools and techniques at both graduate and undergraduate levels in semester-...

Exploring Berkeley IGS Poll Data In Python

August 6, 2020
Patty Frontiera, Ph.D.

Between April 16 and 20, 2020 the Institute of Governmental Studies (IGS)(link is external), in conjunction with the California Institute of Health Equity and Action(Cal-IHEA)(link is external)...

Adding Basemaps In Python With Contextily

October 8, 2020
Patty Frontiera, Ph.D.

If you work with geospatial data in Python, you most likely are familiar with the fantastic GeoPandas library. GeoPandas leverages the power of Maplotlib to enable users to make maps of their data. However, until recently, it has not been easy to add basemaps to these maps. Basemaps are the contextual map data, like Google Maps, on top of which geospatial data are often displayed.

The new Python library...