1/29/2024 0 Comments Where does pip3 install packagesThis is not the same as compiling a C extension, this is just an optimization to make loading Python code faster on startup. pyc bytecode files, and store them in _pycache_ directories. Going faster (sometimes) with disabled compilationĪfter packages are downloaded (if they’re not cached locally) and installed on to the filesystem, package managers do one final step: they compile the. This saves me about 0.2-0.3s, not a very significant improvement the actual improvement probably depends on your network speed and other factors. On startup pip may check if you’re running the latest version or not, and print a warning if you’re not. Going (very slightly) faster by disabling the version check This is still not as fast as running on a dedicated machine, however: storing and loading the cache also takes time. If you’re using GitHub Actions, you can use the built-in caching support in the action used to setup Python. To work around that, most CI systems will have some way to store a cache directory at the end of the run, and then load it at the beginning of the next run. In most CI services, your cache will start out empty. On your local machine, that happens automatically. Notice that in all cases you get a speedup from having a warm cache, i.e. This example was run with 12 packages being installed with a larger number of dependencies, it’s possible that Poetry’s parallel installation would have more of an impact.
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