Python's "Disappointing" Superpowers

This page summarizes the projects mentioned and recommended in the original post on /r/programming

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  • Harmony

    A library for patching, replacing and decorating .NET and Mono methods during runtime

  • It's kind of a subtle distinction that I think was lost between the posted article and the original article it was responding to, but I don't think the kinds of reflection capabilities that Roslyn provides is what the author intended. The specific example given in the referenced article for "Higher-order programs" specifically refers to the ability to replace function implementations at runtime without interrupting the program, and specifically calls out hot-code reloading (such as what Java provides) as a deficient form of similar functionality. This is closer to the type of functionality libraries like Harmony provide, but even that solution requires including the library and instrumenting your code ahead of time.

  • tensorflow

    An Open Source Machine Learning Framework for Everyone

  • C++ is actually used in machine learning. More than 60% of TensorFlow code is in C++: https://github.com/tensorflow/tensorflow. With high level configs and prototyping is done in python.

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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