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  1. 10 paź 2012 · Yes, write a "virtual serial device" class that duplicates the pySerial interface. Then your code can use either your "virtual device" class, or the real pySerial interface, interchangeably. – Craig McQueen

  2. Codon is a high-performance Python implementation that compiles to native machine code without any runtime overhead. Typical speedups over vanilla Python are on the order of 10-100x or more, on a single thread. Codon's performance is typically on par with (and sometimes better than) that of C/C++.

  3. In this tutorial, you'll learn how you can configure, extend, and optimize Visual Studio Code for a more effective and productive Python development environment. By digging into this customizable code editor and IDE, you'll put yourself on track to be a VS Code power user.

  4. The Python and Jupyter extensions work together to give you a great Notebook experience in VS Code, providing you the ability to directly view and modify code cells with IntelliSense support, as well as run and debug them.

  5. When activated, python (or its alias cross-python) can be used for cross compiling. If needed, packages can be installed on Build (e.g., a package requires Cython to install) with build-python . There are equivalent pip , cross-pip , and build-pip commands.

  6. 1 dzień temu · How venvs work ¶. When a Python interpreter is running from a virtual environment, sys.prefix and sys.exec_prefix point to the directories of the virtual environment, whereas sys.base_prefix and sys.base_exec_prefix point to those of the base Python used to create the environment.

  7. For most Unix systems, you must download and compile the source code. The same source code archive can also be used to build the Windows and Mac versions, and is the starting point for ports to all other platforms.

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