Python

Getting Started with the NYT API

March 1, 2022
George McIntire

Introduction

The web is chock full of valuable troves of data that can spawn an infinite number of social science research projects. However, not all data is easily accessible! While some data can be easily downloaded, access to some sources of data are dictated by what is known as an API. Standing for application programming interface, APIs are a set of defined protocols governing the terms of access to software and servers from programs created...

Python Introduction to Machine Learning: Parts 1-2

December 7, 2021, 1:00pm
This workshop introduces students to scikit-learn, the popular machine learning library in Python, as well as the auto-ML library built on top of scikit-learn, TPOT. The focus will be on scikit-learn syntax and available tools to apply machine learning algorithms to datasets. No theory instruction will be provided.

Python Introduction to Machine Learning: Parts 1-2

February 7, 2022, 10:00am
This two-part workshop introduces students to scikit-learn, the popular machine learning library in Python, as well as the auto-ML library built on top of scikit-learn, TPOT. The focus will be on scikit-learn syntax and available tools to apply machine learning algorithms to datasets. No theory instruction will be provided.

Python Introduction to Machine Learning: Parts 1-2

February 23, 2022, 10:00am
This workshop introduces students to scikit-learn, the popular machine learning library in Python, as well as the auto-ML library built on top of scikit-learn, TPOT. The focus will be on scikit-learn syntax and available tools to apply machine learning algorithms to datasets. No theory instruction will be provided.

Geospatial Data and Mapping in Python: Parts 1-3

March 1, 2022, 2:00pm
Geospatial data are an important component of data visualization and analysis in the social sciences, humanities, and elsewhere. The Python programming language is a great platform for exploring these data and integrating them into your research.

Eileen Cahill

D-Lab Alumni
School of Information

Eileen is currently a first year Information Management and Systems student committed to studying human-centered design for the utility and usability of healthcare systems. She spent the last few years working in genomic research program analysis and management at the National Human Genome Research Institute. Prior to that, Eileen attended Georgetown University where she studied biology and studio art. During this time, she performed research on water contaminants in an analytical chemistry lab as well as research on estrogen mimicking compound effects on Zebrafish in a brain...

William Rathje

D-Lab Alumni
Sociology

I'm a second-year sociology PhD student interested in data science, critical theory, and culture. I work as a data science fellow, with technical interests in networks, natural language, machine learning, statistics, and social media analysis. Outside work, I enjoy reading, writing, coffee, and running!

Ian Castro

D-Lab Alumni
School of Information

Ian is a graduate student in the Master of Information Management and Systems program at the School of Information with a focus in applied data science. He earned his B.A. in Media Studies and B.S. in Microbial Biology from UC Berkeley, and his research interests and work experience are in STEM education. He focuses in building courses and academic programs to make data and computing accessible to historically marginalized students and those without prior exposure to the field.

Python Fundamentals: Parts 1-2 (4pm-7pm)

February 14, 2022, 4:00pm
Evening workshop 4-7pm. This two-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 Visualization

February 17, 2022, 9:00am
For this workshop, we'll provide an introduction to visualization with Python. We'll cover visualization theory and plotting with Matplotlib and Seaborn, working through examples in a Jupyter notebook.