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Sep 23, 2013 · "Scripts" are oft IO-heavy. PyPy's IO is still often slower than CPython's - it used to be significantly slower. 3. PyPy used to be slower than CPython at handling strings - now it's often better and rarely worse. 4. Many "scripts" are just glue code - making the interpreter faster won't improve overall runtimes in that case. 5.
Note that if you have a long chain of objects, each with a reference to the next one, and each with a __del__, PyPy’s GC will perform badly. On the bright side, in most other cases, benchmarks have shown that PyPy’s GCs perform much better than CPython’s. Another difference is that if you add a __del__ to an existing class it will not be ...
Efficient in this sense means striking a balance between development time of the interpreter and performance of code being run by the interpreter. PyPy can run faster than cpython because the pypy JiT compiler compiles to native code for a specific processor. CPython does not compile to native code.
Mar 16, 2024 · Choosing Between CPython and PyPy. For General Use: CPython is often the best choice due to its compatibility and the vast ecosystem of libraries and tools. For Performance-Sensitive Applications: PyPy can be a better choice if your application can benefit from JIT compilation, especially if it is long-running and computationally intensive.
Aug 19, 2021 · To overcome the slowness of python, developers have created multiple different compilers to compile python either to other programming languages, to machine code, or to do Just in Time compilation. Some of the popular python compilers include Cython, Nuitka, Brython, PyPy, and Iron Python.
Note that if you have a long chain of objects, each with a reference to the next one, and each with a __del__, PyPy's GC will perform badly. On the bright side, in most other cases, benchmarks have shown that PyPy's GCs perform much better than CPython's. Another difference is that if you add a __del__ to an existing class it will not be called:
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Dec 12, 2021 · PyPy is a Python implementation written in Python (specifically RPython) and is a replacement for CPython. PyPy's main utility is that it is really fast, in fact, it claims to be almost 5x faster than CPython. However, PyPy can run most Python code except for when the code depends on CPython extensions which results in either inability to run ...