Python Fundamentals: Parts 1-2

February 14, 2022, 4:00pm to February 16, 2022, 7:00pm

Trying to register, but not affiliated with the UCB campus? If you are from Berkeley Lab (LBL), UCSF, or CZ Biohub, please register via our partner portals here.

If you are from the UCB campus there's no more waitlist! But after registering above, please do fill out the affiliations form if you have not done so at least once before: https://dlab.berkeley.edu/affiliations

Location: Remote via Zoom. Link will be sent on the morning of the event.

Date & Time: This workshop is a 2-part series running from 4pm-7pm each day:

  • Part 1: Tuesday, February 14
  • Part 2: Thursday, February 16

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 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.

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

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