Location: Remote via Zoom. Link will be sent on the morning of the event.
Date & Time: This workshop is a 4-part series running from 12pm-3pm each day:
- Part 1: Monday, October 4
- Part 2: Wednesday, October 6
- Part 3: Monday, October 11
- Part 4: Wednesday, October 13
Start Time: D-Lab workshops start 10 minutes after the scheduled start time (“Berkeley Time”). We will admit all participants from the waiting room at that time.
Description
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.
Each of the parts is divided into a lecture-style coding walkthrough interrupted by challenge problems, discussions of the solutions, and breaks. Instructors and TAs are dedicated to engaging you in the classroom and answering questions in plain language.
- Part 1: Running Python, Jupyter Notebooks, variable assignment, data types conversion, working with strings, built-in functions
- Part 2: Lists, loops, conditional statements, functions, scope
- Part 3: Dictionaries, importing files and libraries, debugging error messages, comprehensions
- Part 4: We will apply the skills learned during previous sessions to a real world social science example.
Prerequisites: None
Workshop Materials:https://github.com/dlab-berkeley/python-fundamentals
Software Requirements: Installation Instructions for Python Anaconda
Is Python Not working on your laptop?
Attend the workshop anyway, we can provide you with a cloud-based solution until you figure out the problems with your local installation.
Feedback: After completing the workshop, please provide us feedback using this form.
Questions? Email: dlab-frontdesk@berkeley.edu