Events

In this workshop, we cover how to extract data from the web with APIs using Python. APIs are often official services offered by companies and other entities, which allow you to directly query their servers in order to retrieve their data. Platforms like The New York Times, Twitter and Reddit offer APIs to retrieve data. When APIs are not available, one can turn to web scraping. If you want to learn how to do web scraping in Python, attend the D-Lab Python Web Scraping Workshop. We will assume a basic knowledge of Python. We recommend attending D-Lab's Python Fundamentals and Python Data Wrangling prior to this workshop. We additionally recommend a basic understanding of HTML and CSS. Prerequisites: We recommend attending D-Lab's Python Fundamentals and Python Data Wrangling prior to this workshop. We additionally recommend a basic understanding of HTML and CSS.

Calling all digital humanities enthusiasts! We encourage everyone to participate, regardless of your experience level. The DH Working Group is a welcoming and supportive community for all things digital humanities. The March meeting's theme is digital mapping and is co-sponsored by the Earth Sciences and Map Library. We have Mr. Stace D Maples from Stanford's David Rumsey Collection visiting to talk about the project before opening up the floor to broader discussion. Lunch is provided. If you're interested in giving a lightning talk or workshopping your research, please sign up here. What is a lightning talk? A lightning talk is a short, fast-paced presentation that typically lasts 5-10 minutes. It's a great way to share your research with a wider audience and get feedback from your peers. We encourage everyone to participate, regardless of your experience level. The DH Working Group is a welcoming and supportive community for all things digital humanities. About the Digital Humanities Working Group The UC Berkeley Digital Humanities Working Group is a research community founded to facilitate interdisciplinary conversations in the digital humanities and cultural analytics. Our gatherings are participant-driven and provide a place for sharing research ideas (including brainstorming new ideas and receiving feedback from others), learning about the intersection of computational methods and humanistic inquiry, and connecting with others working in this space at Berkeley. We welcome grad students, faculty, and staff from all disciplinary backgrounds regardless of whether you are a beginner or an expert in empirical and data-driven methods. Working group meetings may include participants sharing work on current or future research, open discussions about theoretical, methodological or other challenges (e.g., data collection), invited speakers, and social mixers. Research at any stage of development (including nascent) is welcome for discussion.

This is a three-hour introductory workshop that will provide an overview of Excel, with no prior experience assumed. Attendees will learn how to use functions for handling data and making calculations, how to build charts and pivot tables, and more. The workshop includes a lecture-style walkthrough of each concept, combined with challenge problems to apply each concept to a real-world data analysis application. Instructors and TAs will provide support for students using Excel on either Windows or Mac, as well as for students using Google Sheets.