Python Fundamentals: Parts 1-4

October 11, 2022, 3:00pm to October 20, 2022, 6:00pm

To receive a Zoom link after registering above, please fill out the affiliations form if you have not done so at least once before: https://dlab.berkeley.edu/affiliations

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

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

Recordings: This D-Lab workshop will be recorded and made available to UC Berkeley participants for a limited time. Your registration for the event indicates your consent to having any images, comments and chat messages included as part of the video recording materials that are made available.

Date & Time: This workshop is a 4-part series running from 3pm-6pm each day:

  • Part 1: Tuesday, October 11
  • Part 2: Thursday, October 13
  • Part 3:  Tuesday, October 18
  • Part 4:  Thursday, October 20

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