Description
Mastering Polars: High-Performance Data Analysis in Python. This course introduces you to the Polars library (version 1.22.x) for high-performance processing of large data sets. This course is designed for data scientists, analysts, and engineers who want a faster, more scalable alternative to Pandas. You’ll learn everything from basic operations to advanced transformations through hands-on practice on real-world projects, and learn how Polars accelerates data processing by leveraging multithreading and lazy computing. Polars is up to 100x faster than Pandas, optimized for modern processors, and performs well even with limited RAM. It’s the ideal library for big data processing and ETL pipelines. By the end of the course, you’ll be confident using Polars to analyze real-world data, improve workflows, and manage massive datasets.
What you will learn
- Working with larger-than-memory data.
- Comparing Pandas and Polars for billions of data.
- Using parallel and optimal analysis with Polars.
- Use Polars expressions for analyses that are easy to read and write.
- Learn strategies to optimize memory usage and processing speed when working with large data sets.
- Combine data from different datasets using fast join operations.
- Load data from various sources, including web files, CSV, JSON, and Parquet files.
This course is suitable for people who:
- This course is perfect for beginners who want to learn Polars from the ground up. Whether you’re a student, a working professional, or just curious about Polars, this course will give you a solid foundation. No prior experience is necessary!
Course details for Mastering Polars: High-Performance Data Analysis in Python
- Publisher : Udemy
- Teacher : Neetu Bhushan
- Language: English
- Level : All Levels
- Lectures : 78
- Duration : 6 hours and 51 minutes
Course syllabus
Prerequisites for the Mastering Polars: High-Performance Data Analysis in Python course
- No prior experience is required! This course is designed for beginners, Basic knowledge of Python is good to have, and I’ll guide you step by step. All you need is a computer with an internet connection and a willingness to learn.”
Course images
Sample course video
Installation Guide
After Extract, view with your favorite player.
Subtitles: English
Quality: 1080p
The 2025/8 version has increased the number of lessons by 27 and the duration increased by 1 hours 9 minutes compared to 2025/2.
Download link
Downloadly
Rapidgator
File(s) password: www.downloadly.ir
File size
1.87 GB
