Learn how to significantly accelerate your Pandas code by 2-5 times, saving valuable time and resources. This 29-minute video tutorial compares Pandas and Modin, demonstrating how to effortlessly speed up data processing workflows. Explore the benefits of Modin as a drop-in replacement for Pandas, leveraging multi-threading capabilities for improved performance on larger datasets. Discover practical examples of loading datasets, dataframe processing, creating visualizations, and handling large-scale data operations. Gain insights into Modin's technical details and access the source code on GitHub to enhance your data analysis efficiency.
How to Speed Up Your Pandas Code and Save Time and Resources
Overview
Syllabus
- Modin/Pandas Intro
- Loading dataset comparison
- Dataframe processing comparison
- Creating hexmap with dataframe
- Creating heatmap with dataframe
- Creating large dataset by loading CSV
- Dataframe concatenation
- modin technical details
- Source code at GitHub
Taught by
Prodramp
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