Modern Parallel and Distributed Python: A Quick Tutorial on Ray | by Robert Nishihara

Linking pages

Linked pages

TensorFlow http://tensorflow.org/ 440 comments
ZeroMQ http://www.zeromq.org/ 173 comments
The Plasma In-Memory Object Store — Apache Arrow v10.0.1 https://arrow.apache.org/docs/python/plasma.html 36 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
Directed acyclic graph - Wikipedia https://en.wikipedia.org/wiki/Directed_acyclic_graph 12 comments
Actor model - Wikipedia https://en.wikipedia.org/wiki/Actor_model 10 comments
Productionizing and scaling Python ML workloads simply | Ray https://ray.io 9 comments
Apache Spark™ - Unified Engine for large-scale data analytics http://spark.apache.org/ 9 comments
Apache FlinkÂ® â Stateful Computations over Data Streams | Apache Flink http://flink.apache.org/ 8 comments
Microservices - Wikipedia https://en.wikipedia.org/wiki/Microservices 7 comments
Futures and promises - Wikipedia https://en.wikipedia.org/wiki/Futures_and_promises 2 comments
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
Fault tolerance - Wikipedia https://en.wikipedia.org/wiki/Fault_tolerance 0 comments
Tune: Scalable Hyperparameter Tuning — Ray 2.3.0 https://ray.readthedocs.io/en/latest/tune.html 0 comments