Again, all this is by design, to ensure maximum compatibility and to allow CPython to serve as a reference implementation, but it means any performance optimizations are up to the developer.Īnaconda, produced by Anaconda, Inc. Those are all things you can add on your own, but they’re not bundled. There is no native JIT (just-in-time) compiler, no accelerated math libraries, and no third-party additions for the sake of performance. CPython limitationsĬPython does not have the performance optimizations found in other editions of Python. Other distros (Anaconda, in particular) provide more automation around workspace setup. CPython is also useful for the expert who wants to work with Python in its most fundamental incarnation, and who is willing to forgo certain conveniences.įor example, with CPython, you have to do a little more lifting to set up virtual environments. Python’s maintainers want CPython to be the most broadly compatible and standardized implementation of Python available.ĬPython is your best choice when compatibility and conformity to Python standards matter more than raw performance and other concerns.

Because CPython is the reference implementation of Python, it is the most conservative in terms of its optimizations.

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