Python Intermediate: Part 1 of 3

This three-part interactive workshop series is a follow-up to D-Lab’s Python Fundamentals. It covers loops and conditionals, creating your own functions, analysis and visualization in Pandas, and the workflow of a data science project.

Learning Objectives

• After completing Python Intermediate, you will be able to:
• Understand and write for-loops.
• Understand and write if-statements.
• Write your own functions.
• Do basic operations in Pandas, including simple visualizations.
• Understand the basic workflow for a data science project.

This workshop does not cover the following:

• Navigating Jupyter Notebooks, assigning variables, data types, and error messages. These are covered in Python Fundamentals.
• Advanced DataFrame manipulation. This is covered in Python Data Wrangling.
• Advanced data visualization. This is covered in Python Data Visualization.

Workshop Structure
Python Intermediate has 3 parts. Each of the parts takes 2 hours, and is delivered in a lecture-style coding walkthrough interrupted by challenge problems and a break. Instructors and TAs are dedicated to engaging you in the classroom and answering questions in plain language.

• Part 1: Control Flow and Functions
• Part 2: Data Analysis and Visualization
• Part 3: Project

Prerequisites: D-Lab’s Python Fundamentals (6 hours) series or equivalent introductory Python knowledge. Please take the D-Lab Skill Check to see if you are ready for Python Intermediate!

Workshop Materials: https://github.com/dlab-berkeley/Python-Intermediate