From Python to NumPy

This page summarizes the projects mentioned and recommended in the original post on news.ycombinator.com

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  1. gonum

    Gonum is a set of numeric libraries for the Go programming language. It contains libraries for matrices, statistics, optimization, and more

    Go is quite a bit cleaner than Python and its concurrency/parallelism primitives can be well suited to scientific workloads.

    You may want to have a look at Gonum (https://www.gonum.org), and the Go HEP package developed by CERN (https://go-hep.org).

    I was also surprised to see DSP and pretty sophisticated packages, although I never used them: https://awesome-go.com/science-and-data-analysis

    And of course Go has Jupyter integration, it's almost like running a script thanks to its fast compilation time.

  2. InfluxDB

    InfluxDB – Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.

    InfluxDB logo
  3. hep

    hep is the mono repository holding all of go-hep.org/x/hep packages and tools

    Go is quite a bit cleaner than Python and its concurrency/parallelism primitives can be well suited to scientific workloads.

    You may want to have a look at Gonum (https://www.gonum.org), and the Go HEP package developed by CERN (https://go-hep.org).

    I was also surprised to see DSP and pretty sophisticated packages, although I never used them: https://awesome-go.com/science-and-data-analysis

    And of course Go has Jupyter integration, it's almost like running a script thanks to its fast compilation time.

  4. numpy-groupies

    Optimised tools for group-indexing operations: aggregated sum and more

    I have had the same experience and instead of Pandas have been using numpy-groupies to handle aggregate/groupby operations. It's quite performant and feels a bit cleaner to use than importing pandas for a couple operations.

    https://github.com/ml31415/numpy-groupies

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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Did you know that Go is
the 4th most popular programming language
based on number of references?