From pandas to Polars

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Madecraft and Jennifer Tenorio

59:57

23 View

01 - Introduction

01 - From pandas to Polars.mp4

00:59

02 - 1. Understanding pandas vs. Polars

01 - Features, strengths, and limitations of pandas.mp4

02:08

02 - Key features and benefits of transitioning to Polars.mp4

03:04

03 - 2. Polars Core Concepts and Differences

01 - Data structures pandas DataFrame vs. Polars DataFrame.mp4

03:33

02 - Indexing and data selection.mp4

04:09

03 - Comparing data manipulation.mp4

04:23

04 - Handling missing data.mp4

03:26

05 - Apply aggregation and grouping.mp4

03:35

04 - 3. Comparing Performance and Efficiency

01 - Memory management in Polars.mp4

03:07

02 - Efficient data processing with Polars.mp4

03:09

03 - Benchmarking performance of pandas vs. Polars.mp4

04:19

05 - 4. Advanced Polars Features

01 - Explore advanced Polars functions.mp4

04:15

02 - Time series analysis in Polars.mp4

02:34

06 - 5. Practical Applications

01 - Real-world data analysis.mp4

03:59

02 - Transitioning your pandas code to Polars.mp4

03:01

03 - Moving between pandas and Polars.mp4

02:58

07 - 6. Best Practices and Optimization

01 - Writing efficient Polars code.mp4

02:36

02 - Debugging and troubleshooting in Polars.mp4

03:20

08 - Conclusion

01 - The future of data analysis with Polars.mp4

01:22

Description

Navigate the shift from pandas to Polars, uncovering motivations, essential differences, and comparative performance insights. Led by Brett Vanderblock, a seasoned business intelligence manager and data science expert, this course offers an insider's perspective on effective data handling. Learn about the fundamental contrasts and similarities between pandas and Polars. Explore the efficiency and advanced features of Polars, alongside practical applications and optimization techniques. Plus, dive into best practices to maximize data analysis outcomes. After completing this course, you will be adept at leveraging Polars for data aggregation, distinguishing between the data structures of both libraries, and evaluating your performance, empowering you with the skills to navigate the evolving landscape of data analysis with Polars.

This course was created by Madecraft. We are pleased to host this training in our library.

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Python

Pandas

Madecraft and Jennifer Tenorio

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Linkedin Learning

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LinkedIn Learning is an American online learning provider. It provides video courses taught by industry experts in software, creative, and business skills. It is a subsidiary of LinkedIn. All the courses on LinkedIn fall into four categories: Business, Creative, Technology and Certifications. It was founded in 1995 by Lynda Weinman as Lynda.com before being acquired by LinkedIn in 2015. Microsoft acquired LinkedIn in December 2016.