Examples and Resources¶
Here you can find additional resources to learn about Modin. To learn more about advanced usage for Modin, please refer to this section.
Usage Examples¶
The following notebooks demonstrate how Modin can be used for scalable data science:
Tutorials¶
The following tutorials cover the basic usage of Modin. Here is a one hour video tutorial that walks through these basic exercises.
Exercise 1: Introduction to Modin [Source]
Exercise 2: Speed Improvements with Modin [Source]
Exercise 3: Defaulting to pandas with Modin [Source]
The following tutorials covers more advanced features in Modin:
Talks & Podcasts¶
Scaling Interactive Data Science with Modin and Ray (20 minute, Ray Summit 2021)
Unleash The Power Of Dataframes At Any Scale With Modin (40 minute, Python Podcast 2021)
[Russian] Distributed Data Processing and XGBoost Training and Prediction with Modin (30 minute, PyCon Russia 2021)
[Russian] Efficient Data Science with Modin (30 minute, ISP RAS Open 2021)
Modin: Scaling the Capabilities of the Data Scientist, not the Machine (1 hour, RISE Camp 2020)
Modin: Pandas Scalability with Devin Petersohn (1 hour, Software Engineering Daily Podcast 2020)
Introduction to the DataFrame and Modin (20 minute, RISECamp 2019)
Scaling Interactive Pandas Workflows with Modin (40 minute, PyData NYC 2018)
Community contributions¶
Here are some blogposts and articles about Modin:
Anaconda Blog: Scale your pandas workflow with Modin by Vasilij Litvinov
Explore Python Libraries: Make Your DataFrames Parallel With Modin by Zachary Bennett
Get faster pandas with Modin, even on your laptops by Parul Pandey
How to speedup pandas by changing one line of code by Shrivarsheni
How To Accelerate Pandas With Just One Line Of Code by Analytics India
Here are some articles contributed by the international community:
[Chinese] 用 Modin 来提速 pandas 工作流程 by Python Chinese Community
[Russian] Ускоряем Pandas при помощи модуля modin by Разработка
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