Polars for Beginners: Selecting and Filtering Data with Expressions скачать в хорошем качестве

Polars for Beginners: Selecting and Filtering Data with Expressions

Learn how to select columns and filter rows efficiently using Polars expressions — the key to writing fast, expressive, and chainable data transformations in Python. This video is part of my beginner-friendly Polars Data Science Series, designed to help you start working with Polars or transition smoothly from pandas to Polars. 🚀 What you’ll learn: Understand `.select()` and `.filter()` in Polars Use `pl.col()` and `pl.lit()` to build powerful expressions Select columns by name, pattern, or data type Filter rows with multiple conditions using `&`, `|`, and `~` Use built-ins like `is_in()` and `is_between()` Combine filtering and selection in clean, chainable pipelines 💻 Code & Resources: 👉 GitHub Repo: https://github.com/zerotodatadev-hub/... 👉 Polars documentation: https://docs.pola.rs 🧠 Before you start: Make sure you’ve created your first Polars DataFrame. If not, watch the previous video: 👉 Polars for Beginners:    • Polars for Beginners: DataFrames Made Simp...   👉 Full Polars for Beginner Playlist:    • Beginner-Friendly Polars Data Science   --- 🧭 Timestamps 00:00 Introduction – Selecting and Filtering Data in Polars 00:37 Selecting Columns with Polars Expressions 04:38 Filtering Rows in Polars DataFrames 08:13 Chaining .filter() and .select() Operations 08:51 Wrap-Up and Polars Cheat Sheet --- If you found this helpful, please give the video a like 👍 and subscribe for more Polars and Python tutorials. #Polars #DataScience #Python #PolarsForBeginners #DataFrame #Tutorial #JupyterNotebook #VScode #uv #ZeroToDataDev #PolarsExpressions