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• Static compilation: Python code is compiled into machine code sometime before execution. An example of this approach is Cython, which compiles Python into C.

• Concurrency and parallelism: Multiple tasks can be run simultaneously. Python contains modules such as `multiprocessing` to support this form of parallelism. Moreover, this approach helps to overcome limitations of the Global Interpreter Lock (GIL) in CPU tasks.

• Efficient data structures: Performance can also be improved by using data types such as Set for membership tests, or deque from collections for queue operations.

Python's development is conducted largely through the Python Enhancement Proposal (PEP) process; this process is the primary mechanism for proposing major new features, collecting community input on issues, and documenting Python design decisions.cite-ref-pepcite000-164-0[161] Python coding style is covered in PEP 8.cite-ref-165[162] Outstanding PEPs are reviewed and commented on by the Python community and the steering council.cite-ref-pepcite000-164-1[161]

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