Until then don’t blame NodeJS. PyPy, Cython, and Numba represent three very different approaches to making Python faster. PyPy is a drop-in replacement for the stock Python interpreter, CPython. It can be considered a superset of Python, as it contains all its functionality and adds the extra C capabilities on top of it. Cython is compiler that enables to write C extensions for Python, usually with the goal of making it more efficient. ... but you can use gevent or ZMQ to do a kind of threading. When comparing Python vs C#, ... Python's syntax is very clear and readable, making it excellent for beginners. Please revise your code with async functionality (this is what makes node faster than others). This basically means that it keeps Python the language and starts over from scratch with everything else. But work in progress on PyPy STM. I would love to see this get updated to Python 3.6.5. PyPy only supports one version of Python 2 and Python 3, which are PyPy 2.7 and PyPy 3.6. The good thing about the pure Python 2.7.x syntax (program without extra C or Java specific stuff) is that it can be literally run by simply switching from; "python" to "jython" to "pypy" in the execution command line. Well for simple programs and scripts anyway. Unlike the previous examples, is not a different implementation: it uses CPython to run the Python code. PyPy vs. CPython. Pip – Overview The pip command is a tool for installing and managing Python packages, such as those found in the Python Package Index. Stackless Python is executed thread-based programs more efficiently than Python. I think you need to revise your title as follows “Js vs python vs pypy”, Just because it is written in JS, it doesn’t mean it’s NodeJS. As a counter to the Python vs. ".NET": There is IronPython (Python "in .NET") I would consider: ... syntax (Python is better in readability, C# has more consistent syntax), adoption. I'm also curious about things like IdleX and Anaconda. PyPy is its own implementation of Python. It’s a replacement for easy_install. If it’s not installed or if the current version is outdated, […] It can also run NumPy, Scikit-learn and more via a c-extension compatibility layer. But if the code contains C extensions, such as NumPy, then PyPy might actually increase the time. It supports cffi, cppyy, and can run popular python libraries like twisted, and django. Compatibility: PyPy is highly compatible with existing python code. PyPy further supports an enhanced version of Python programming language — Stackless Python. If the code that is executed in PyPy is pure Python, then the speed offered by PyPy is usually noticeable. PIP Installation Installing PIP is easy and if you’re running Linux, its usually already installed. I'm currently using that for my programs, and even after looking at the changelogs between Python versions, I'm not sure what I'd lose by moving down to 3.5.3 so that I could use PyPy. 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