Overview

These four standalone workshops aim to help Python users understand language features, packages, and programming strategies that will enable them to write more efficient code, be more productive when writing code, and debug code more effectively. This is not an introduction to Python and is appropriate for motivated intermediate to advanced users who want a better understanding of working with Python for their research.

Learning Objectives

After completing all four Intermediate Python workshops, learners should be able to:

• Identify problems that can be solved efficiently with Pandas indexing

• Use Pandas indexes and multi-indexes to extract subsets of data

• Convert between columns and (multi-)indexes in a Pandas data frame

• Organize project files using modules and namespaces

• Install and remove Python, Python packages, and other software with conda

• Explain how Python’s iterators and generators work

• Determine the cause(s) of bugs in code using Python’s debugging tools

Prerequisites

Participants are expected to have taken DataLab’s Python Basics workshop series and/or have prior experience using Python, be comfortable with basic Python syntax, and have it pre-installed and running on their laptops.