Using pip is the most conventional and best-supported way to package a Python application for re-use. Just take your application directory and outfit it with a setup.py file, which turns it into a ...

There are plenty of memory profilers for Python and plenty for C and C++, but up to this point, there hasn’t been a memory profiler that can work with both Python and C/C++ simultaneously, says ...

Visual Studio 2019 expands on this with support for multiple Python runtime environments, making it easier to switch between interpreters and versions, a more capable debugger, and smarter ...