Hacker News
- Faster Parallel Python Without Python Multiprocessing https://towardsdatascience.com/10x-faster-parallel-python-without-python-multiprocessing-e5017c93cce1 29 comments
Linking pages
Linked pages
- Scalability! But at what COST? http://www.frankmcsherry.org/graph/scalability/cost/2015/01/15/COST.html 108 comments
- The Plasma In-Memory Object Store — Apache Arrow v10.0.1 https://arrow.apache.org/docs/python/plasma.html 36 comments
- multiprocessing â Process-based parallelism — Python 3.12.0 documentation https://docs.python.org/3/library/multiprocessing.html 34 comments
- Medium https://medium.com/m/signin?isDraft=1&operation=login&redirect=https%3A%2F%2Fmedium.com%2F%40jamie_34747%2F79d382edf22b%3Fsource%3D 19 comments
- Fast Python Serialization with Ray and Apache Arrow | Ray: A fast and simple framework for distributed applications https://ray-project.github.io/2017/10/15/fast-python-serialization-with-ray-and-arrow.html 16 comments
- Apache Arrow | Apache Arrow https://arrow.apache.org/ 10 comments
- Productionizing and scaling Python ML workloads simply | Ray https://ray.io 9 comments
- Anaconda | Anaconda Distribution https://www.anaconda.com/distribution/ 4 comments
- pickle â Python object serialization — Python 3.11.2 documentation https://docs.python.org/3/library/pickle.html 1 comment
- GitHub - modin-project/modin: Modin: Scale your Pandas workflows by changing a single line of code https://github.com/modin-project/modin 0 comments
- GitHub - ray-project/ray: Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads. https://github.com/ray-project/ray 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
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