From Python to NumPy

• gonum

  24 7,515 8.0 Go

  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.

• InfluxDB

  www.influxdata.com featured

  Purpose built for real-time analytics at any scale. InfluxDB Platform is powered by columnar analytics, optimized for cost-efficient storage, and built with open data standards.

  

• hep

  7 230 7.5 Go

  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.

• numpy-groupies

  1 194 5.7 Python

  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

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