Intermediate Python: Iterator & Generator Crash Course – 2022-05-16
This workshop aims to help Python-users understand language features, packages, and programming strategies that will help them 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. Researchers from all domains at UC Davis who meet the workshop prerequisites are welcome to enroll.
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: PythonThe copyright on this video is owned by the Regents of the University of California and is licensed for reuse under the Creative Commons Attribution 4.0 International (CC BY 4.0) License.