What jobs am I currently making myself marketable for, given the changing stack at my current role?

• NumPy

  58 25,098 9.9 Python

  The fundamental package for scientific computing with Python.

  

  I'm using a lot of numpy https://numpy.org/ for processing large amounts of point data, and for generally optimizing / unfurling for loops into a format which can be compiled to faster code, using numba http://numba.pydata.org/. I also often use some built in pylib imports like concurrent https://docs.python.org/3/library/concurrency.html for making things parallel, and python wrapped imgui https://github.com/ocornut/imgui for ui / interactivity. I also use anaconda to manage libs, not that this likely matters much lol.

• imgui

  66 52,054 0.0 C++

  Dear ImGui: Bloat-free Graphical User interface for C++ with minimal dependencies

  I'm using a lot of numpy https://numpy.org/ for processing large amounts of point data, and for generally optimizing / unfurling for loops into a format which can be compiled to faster code, using numba http://numba.pydata.org/. I also often use some built in pylib imports like concurrent https://docs.python.org/3/library/concurrency.html for making things parallel, and python wrapped imgui https://github.com/ocornut/imgui for ui / interactivity. I also use anaconda to manage libs, not that this likely matters much lol.

• InfluxDB

  www.influxdata.com

  sponsored

  Collect and Analyze Billions of Data Points in Real Time. Manage all types of time series data in a single, purpose-built database. Run at any scale in any environment in the cloud, on-premises, or at the edge.

  

• Numba

  31 9,059 9.7 Python

  NumPy aware dynamic Python compiler using LLVM

  

  I'm using a lot of numpy https://numpy.org/ for processing large amounts of point data, and for generally optimizing / unfurling for loops into a format which can be compiled to faster code, using numba http://numba.pydata.org/. I also often use some built in pylib imports like concurrent https://docs.python.org/3/library/concurrency.html for making things parallel, and python wrapped imgui https://github.com/ocornut/imgui for ui / interactivity. I also use anaconda to manage libs, not that this likely matters much lol.

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