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  1. 19 sty 2018 · Generally speaking, when application starts, there are some startup process like loading environment variables or config files. In case of Python application, importing module takes most of startup time. For example, pipenv --version took about 800ms and import pipenv took 700ms.

  2. 8 sty 2023 · several points to consider: "Time to init pool" is wrong. The child processes haven't finished starting, only the main process has initiated their startup. Once the workers have actually started, the speed of "Time to reach run" should drop to not include process startup.

  3. PyTrace is a time travel recorder/analyzer for Python. It records code execution, variables and stack frames. Debugging has never been so easy.

  4. In this small synthetic benchmark, PyPy is roughly 94 times as fast as Python! For more serious benchmarks, you can take a look at the PyPy Speed Center , where the developers run nightly benchmarks with different executables.

  5. I've spent a while trying to improve IPython startup time (it's still pretty bad, but it's been worse), so I'm excited to see that Python 3.7 will make this easier to test. One trick I like to do is to simulate a cold start to get an idea of the worst case performance.

  6. 10 cze 2023 · First Stop: Importing the Time Machine (Datetime) 🚀 Let's start by summoning the time machine. How? By importing the datetime module, of course! This module is like the flux capacitor of your DeLorean – it's what makes time travel possible. Just don't hit 88 miles per hour, or who knows where you'll end up!

  7. Python Startup Time. ¶. CPython startup is “slow”: takes between 8 ms and 100 ms depending on the Python version, the operating system, how many .pth files are installed, if Python runs into a virtual environment, etc. See: https://github.com/bdrung/startup-time.

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