Python

Harry Li

UTech
Data Science
Cognitive Science

Hello! I am a third-year undergraduate studying Data Science and Cognitive Science. I love what I'm studying and am also passionate about education policy reform and teaching in general. I'm also a big fan of the Los Angeles Lakers, trying out new recipes, gaming, and fitness!

Twitter data extraction with Selenium

March 1, 2022
Seyi Olojo

Introduction

With online communities and social networks serving as important sites for computational social science research, Twitter has quickly become a popular data source for researchers (Frey et al. (2020), Kusen et al. (2017), Rao et al. (2010) and Ru et al. (2021)). This blog post will demonstrate one way to extract twitter data without using the Twitter API. This is especially useful for researchers who are new to exploring the use of Twitter data in their research, looking to develop a baseline corpus for a research question they are newly...

Predicting Madness: This March Madness, you can be your friend group’s resident Bracketologist.

March 7, 2022
Sohail Kamdar

On Selection Sunday, a twelve-member NCAA committee kicks off March Madness by picking America’s best college basketball teams. Each year, millions of people build their bracket based on records, school allegiances, favorite colors, and weirdest mascots. The national college basketball event that pins the top 64 Division I teams in the country in a knockout style tournament is one of the largest betting events in sports. In the course of 68 games, over $8.5 billion across 40 million bets are estimated to be made both legally and illegally (Odds Shark, 2021). ...

Python Fundamentals: Parts 1-4

March 7, 2022, 1:00pm
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 Web Scraping

March 7, 2022, 10:00am
In this workshop, we cover how to extract data from the web using Python. We focus on two approaches to extracting data from the web: leveraging application programming interfaces (APIs) and web scraping.

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.