Polars
Polars is a new, data-analysis library similar to Pandas but written in Rust and with an empasis on speed and reduced memory usage. In this course, you’ll learn how to perform common data-analysis tasks in Polars, including reading from CSV files, sorting, and grouping.
What you should know
Course Content
Course length
2 hours
Number of lessons
1
Training materials
1 Jupyter notebook
Coding exercises
3
About the Course
Polars is a new, data-analysis library similar to Pandas but written in Rust and with an empasis on speed and reduced memory usage. In this course, you’ll learn how to perform common data-analysis tasks in Polars, including reading from CSV files, sorting, and grouping.
What you’ll learn
- How Polars is different
- How to read data into Polars
- Selecting rows with
df.select - Selecting columns
df.with_columns df.filter- Sorting
- Grouping
- Optimizing queries and “lazy frames”
Instructor
This course, like all others on LernerPython.com, is taught by Reuven Lerner.
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