Data Analysis, the Polars Way
Friday, May 24
14:45 - 16:50
When you take interesting data from public sources, when you install a highly efficient Python library for data analysis (polars), and you start asking fundamental questions, what can possibly go wrong? Let’s find out in this beginner-oriented polars-based exploratory data analysis workshop.
In this course, we will grab public data about the countries of the world and while playing with them, we will explore (a small subset of) what the polars library has to offer. While traditionally the first steps into data analysis are taken with pandas (a true hero in the Python data world), polars is a fresh newcomer that boasts high efficiency and clearly designed API - so why not start with it?
You will learn how to:
- load, manipulate and clean your data;
- gather insights using grouping, aggregation and joining data from various sources;
- understand and present you data visually.
You should possess:
- a modest knowledge of Python (functions, basic containers)
- some familiarity with Jupyter (or some other) notebooks (recommended)
- optionally some knowledge of pandas (not required at all)
- a computer with a pre-installed virtual environment
Jan Pipek
Coming from a research background (physics), I have been in the field of data science / engineering for 7 years. Currently, I have the pleasure to work in the forecasting team in Flyr for Hospitality. When not coding in Python, I am active in the Czech Python community, organising the PyData meetups and PyCon CZ conferences. Fun facts: I spent a year in Catania (some time ago) and ran a marathon in Florence (even longer ago).