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:
Python
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this video is owned by the Regents of the University of California and is
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BY 4.0) License.
