Intermediate Python: Making Python Projects & Environments Reproducible–Part 2 of 2 – 2022-05-02
After completing all four Intermediate Python spring 2022 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.
Participants must 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. Software needed: Python
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