Here you can find additional resources to learn about Modin. To learn more about advanced usage for Modin, please refer to Usage Guide </usage_guide/index> section..
The following notebooks demonstrate how Modin can be used for scalable data science:
- Quickstart Guide to Modin [Source]
- Using Modin with the NYC Taxi Dataset [Source]
- Modin for Machine Learning with scikit-learn [Source]
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 PandasOnRay, Source PandasOnDask, Source HdkOnNative]
- Exercise 2: Speed Improvements with Modin [Source PandasOnRay, Source PandasOnDask, Source HdkOnNative]
- Exercise 3: Defaulting to pandas with Modin [Source PandasOnRay, Source PandasOnDask, Source HdkOnNative]
The following tutorials covers more advanced features in Modin:
- Exercise 4: Experimental Features in Modin (Spreadsheet, Progress Bar) [Source PandasOnRay, Source PandasOnDask]
- Exercise 5: Setting up Modin in a Cluster Environment [Source PandasOnRay]
- Exercise 6: Running Modin in a Cluster Environment [Source PandasOnRay]
How to get required dependencies for the tutorial notebooks and to run them please refer to the respective README.md file.
- 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)
Here are some blogposts and articles about Modin:
- Anaconda Blog: Scale your pandas workflow with Modin by Vasilij Litvinov
- The Modin view of Scaling Pandas by Devin Petersohn
- Data Science at Scale with Modin by Areg Melik-Adamyan
- Speed up Pandas using Modin by Eric D. Brown, D.Sc.
- 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
- An Easy Introduction to Modin: A Step-by-Step Guide to Accelerating Pandas by Intel
Here are some articles contributed by the international community:
- [Chinese] 用 Modin 来提速 pandas 工作流程 by Python Chinese Community
- [German] Was ist Modin? by Dipl.-Ing. (FH) Stefan Luber
- [Russian] Ускоряем Pandas при помощи модуля modin by Разработка
- [Korean] modin 으로 pandas 더 빠르게 사용하기 by 분석뉴비
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