Linking pages
- GitHub - Eventual-Inc/Daft: Distributed DataFrame for Python designed for the cloud, powered by Rust https://github.com/Eventual-Inc/Daft 39 comments
- 10x Faster Parallel Python Without Python Multiprocessing | by Robert Nishihara | Towards Data Science https://towardsdatascience.com/10x-faster-parallel-python-without-python-multiprocessing-e5017c93cce1 29 comments
- quokka/release.md at master · marsupialtail/quokka · GitHub https://github.com/marsupialtail/quokka/blob/master/blog/release.md 5 comments
- Polars, DuckDB, Pandas, Modin, Ponder, Fugue, Daft — which one is the best dataframe and SQL tool? | Kestra https://kestra.io/blogs/2023-08-11-dataframes 3 comments
- Snowflake to acquire Ponder for enterprise Python capabilities | VentureBeat https://venturebeat.com/data-infrastructure/snowflake-to-acquire-ponder-expanding-its-python-capabilities-for-enterprises/ 2 comments
- High-performance analytics | Tably https://tably.com/blog/high-performance-analytics 0 comments
- GitHub - EthicalML/awesome-production-machine-learning: A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning https://github.com/EthicalML/awesome-production-machine-learning 0 comments
- So you want to build an open source tool/library as a grad student | by Devin Petersohn | riselab | Medium https://medium.com/riselab/so-you-want-to-build-an-open-source-tool-library-as-a-grad-student-94596efc31d1 0 comments
- Preventing the Death of the Dataframe | by Devin Petersohn | Towards Data Science https://towardsdatascience.com/preventing-the-death-of-the-dataframe-8bca1c0f83c8 0 comments
- GitHub - r0f1/datascience: Curated list of Python resources for data science. https://github.com/r0f1/datascience 0 comments
- GitHub - ml-tooling/best-of-python: 🏆 A ranked list of awesome Python open-source libraries and tools. Updated weekly. https://github.com/ml-tooling/best-of-python 0 comments
- GitHub - kelvins/awesome-mlops: A curated list of awesome MLOps tools https://github.com/kelvins/awesome-mlops 0 comments
- Implementing A Parameter Server in 15 Lines of Python with Ray | Ray: A fast and simple framework for distributed applications https://ray-project.github.io/2018/07/15/parameter-server-in-fifteen-lines.html 0 comments
- Modern Parallel and Distributed Python: A Quick Tutorial on Ray - RISE Lab https://rise.cs.berkeley.edu/blog/modern-parallel-and-distributed-python-a-quick-tutorial-on-ray/ 0 comments
- Ray for the Curious. Dean Wampler, December 19, 2019 | by Dean Wampler | Distributed Computing with Ray | Medium https://medium.com/distributed-computing-with-ray/ray-for-the-curious-fa0e019e17d3 0 comments
- awesome-stars/topics.md at master · maguowei/awesome-stars · GitHub https://github.com/maguowei/awesome-stars/blob/master/topics.md 0 comments
- The Modin view of Scaling Pandas. Comparing Modin with Dask, Ray, Vaex… | by Devin Petersohn | Towards Data Science https://towardsdatascience.com/the-modin-view-of-scaling-pandas-825215533122 0 comments
- Machine Learning Toolbox https://amitness.com/toolbox/ 0 comments
- Modern Parallel and Distributed Python: A Quick Tutorial on Ray | by Robert Nishihara | Towards Data Science https://medium.com/@robertnishihara/modern-parallel-and-distributed-python-a-quick-tutorial-on-ray-99f8d70369b8 0 comments
- Ray Ray Tracing Raises Ray Tracing Rate | by Max Fitton | Distributed Computing with Ray | Medium https://medium.com/distributed-computing-with-ray/ray-ray-tracing-raises-ray-tracing-rate-8ac47db07fc0 0 comments
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