the Cython docs on compiler directives. 4.17.2 Using Numba A recent alternative to statically compiling Cython code, is to use a dynamic jit-compiler, Numba. Numba gives you the power to speed up your https://cowboyprogrammer.org/building-python-wheels-for-windows/ • https://blog.ionelmc.ro/2014/12/21/compiling-python-extensions-on-windows/ • https://support.enthought.com/hc/en-us/articles/204469260-Buil # compile the docs with only a single section, relative to the "source" folder. # For example, compiling only this guide (docs/source/development/contributing.rst) python make.py clean python make.py --single

the Cython docs on compiler directives. 4.17.2 Using Numba A recent alternative to statically compiling Cython code, is to use a dynamic jit-compiler, Numba. Numba gives you the power to speed up your https://cowboyprogrammer.org/building-python-wheels-for-windows/ • https://blog.ionelmc.ro/2014/12/21/compiling-python-extensions-on-windows/ • https://support.enthought.com/hc/en-us/articles/204469260-Buil # compile the docs with only a single section, relative to the "source" folder. # For example, compiling only this guide (docs/source/development/contributing.rst) python make.py clean python make.py --single

https://cowboyprogrammer.org/building-python-wheels-for-windows/ • https://blog.ionelmc.ro/2014/12/21/compiling-python-extensions-on-windows/ • https://support.enthought.com/hc/en-us/articles/204469260-Buil powerful Python data analysis toolkit, Release 0.19.0 Using numba A recent alternative to statically compiling cython code, is to use a dynamic jit-compiler, numba. Numba gives you the power to speed up your

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https://cowboyprogrammer.org/building-python-wheels-for-windows/ • https://blog.ionelmc.ro/2014/12/21/compiling-python-extensions-on-windows/ • https://support.enthought.com/hc/en-us/articles/204469260-Buil Python data analysis toolkit, Release 0.20.2 26.2 Using numba A recent alternative to statically compiling cython code, is to use a dynamic jit-compiler, numba. Numba gives you the power to speed up your

https://cowboyprogrammer.org/building-python-wheels-for-windows/ • https://blog.ionelmc.ro/2014/12/21/compiling-python-extensions-on-windows/ • https://support.enthought.com/hc/en-us/articles/204469260-Buil Python data analysis toolkit, Release 0.21.1 26.2 Using numba A recent alternative to statically compiling cython code, is to use a dynamic jit-compiler, numba. Numba gives you the power to speed up your

Python data analysis toolkit, Release 1.0.0 3.18.2 Using Numba A recent alternative to statically compiling Cython code, is to use a dynamic jit-compiler, Numba. Numba gives you the power to speed up your # compile the docs with only a single section, relative to the "source" folder. # For example, compiling only this guide (doc/source/development/contributing.rst) python make.py clean python make.py --single

Python data analysis toolkit, Release 1.0.5 2.18.2 Using Numba A recent alternative to statically compiling Cython code, is to use a dynamic jit-compiler, Numba. Numba gives you the power to speed up your powerful Python data analysis toolkit, Release 1.0.5 (continued from previous page) # For example, compiling only this guide (doc/source/development/contributing.rst) python make.py clean python make.py --single

Python data analysis toolkit, Release 1.0.4 2.18.2 Using Numba A recent alternative to statically compiling Cython code, is to use a dynamic jit-compiler, Numba. Numba gives you the power to speed up your powerful Python data analysis toolkit, Release 1.0.4 (continued from previous page) # For example, compiling only this guide (doc/source/development/contributing.rst) python make.py clean python make.py --single