10 year matplotlib/python programmer coming to c++, tips for being more productive?

This page summarizes the projects mentioned and recommended in the original post on reddit.com/r/cpp

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  • xeus-cling

    Jupyter kernel for the C++ programming language

  • sanitizers

    AddressSanitizer, ThreadSanitizer, MemorySanitizer

    Learn about sanitizers - you will save a lot of debugging time. Especially if the previous code hasn't been throughly vetted.

  • OPS

    OPS - Build and Run Open Source Unikernels. Quickly and easily build and deploy open source unikernels in tens of seconds. Deploy in any language to any cloud.

  • spdlog

    Fast C++ logging library.

    If there isn't a logging framework, consider adding spdlog or another lightweight logger for sanity checking. This can be helpful for larger systems, and for non-realtime problem solving.

  • pybind11

    Seamless operability between C++11 and Python

    You should also be aware of pybind11, which makes calling c++ code from python (or vice-versa) a fairly straightforward task, if this becomes necessary or convenient.

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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