Data analysis with Python and Polars

Length: 4 days

Description

Polars is a new data-analysis library that’s similar to Pandas, but with a super-fast implementation in Rust and a clean, minimalist API. It is growing in popularity, especially among people who want a cleaner, faster, more efficient alternative to Pandas. The course includes numerous hands-on exercises. This course introduces Polars and how to use it to read, clean, plot, and analyze data.

A large part of the course will be hands-on exercises, which will help participants to learn and understand the regular expression syntax.

Like all of my courses, this is taught without slides. Instead, I live-code into a Jupyter notebook that is available in real time and which I distribute to participants at the end of the course.

Let’s talk about how to customize this course for your team! Set a meeting at https://savvycal.com/reuven/corp-training.

Audience

People with experience using Python, and (ideally) some experience analyzing data with Pandas.

Syllabus

• Polars overview

• Columns

• Data frames

• Convenience methods

• Retrieving

• Sorting

• Grouping

• Pivot tables

• Handling large memory systems

• Visualization

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