[ FreeCourseWeb.com ] Mastering Data Analysis with Polars in Python: Crash Course If You Need More Stuff, kindly Visit and Support Us -->> https://FreeCourseWeb.com Published 4/2024
Created by Idan Chen
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 32 Lectures ( 2h 48m ) | Size: 956 MB
Unlock the Power of Polars for Fast and Efficient Data Analysis in Python - Dive into Data Science Today!
What you'll learn:
Understand the fundamentals of Polars, a high-performance data manipulation library in Python.
Learn essential data processing techniques including filtering, aggregating, and transforming data.
Master advanced data manipulation tasks such as joins, groupings, and window functions.
Gain insights into optimizing performance and improving efficiency when working with large datasets.
Develop the skills to tackle complex data analysis challenges and derive meaningful insights.
Explore practical examples and real-world datasets to solidify understanding.
Become proficient in leveraging Polars for fast and efficient data analysis in Python.
Understand techniques for working with large CSV files efficiently using Polars.
Learn strategies to optimize memory usage and processing speed when dealing with massive datasets.
Gain practical experience in applying Polars to analyze and manipulate extensive CSV datasets with ease.
Requirements:
Basic understanding of Python programming.
Familiarity with data structures like lists, dictionaries, and tuples.
Prior knowledge of data analysis concepts is beneficial but not required.
Access to a computer with Python and Polars library installed (installation instructions will be provided).
If You Need More Stuff, kindly Visit and Support Us -->> https://DevCourseWeb.com
Get More Tutorials and Support Us -->> https://CourseWikia.com
We upload these learning materials for the people from all over the world, who have the talent and motivation to sharpen their skills/ knowledge but do not have the financial support to afford the materials. If you like this content and if you are truly in a position that you can actually buy the materials, then Please, we repeat, Please, Support Authors. They Deserve it! Because always remember, without "Them", you and we won't be here having this conversation. Think about it! Peace...