Numba: A High Performance Python Compiler
Numba-compiled numerical algorithms in Python can approach the speeds of C or FORTRAN. You don't need to replace the Python interpreter, run a separate compilation step, or even have a C/C++ …
Numba documentation — Numba 0.52.0.dev0+274.g626b40e-py3.7 …
Numba documentation ¶ This is the Numba documentation. Unless you are already acquainted with Numba, we suggest you start with the User manual.
Numba: A High Performance Python Compiler - PyData
Numba-compiled numerical algorithms in Python can approach the speeds of C or FORTRAN. You don't need to replace the Python interpreter, run a separate compilation step, or even have a C/C++ …
A ~5 minute guide to Numba - PyData
Numba is a just-in-time compiler for Python that works best on code that uses NumPy arrays and functions, and loops. The most common way to use Numba is through its collection of decorators …
First Steps with numba — numba 0.12.2 documentation - PyData
One way to compile a function is by using the numba.jit decorator with an explicit signature. Later, we will see that we can get by without providing such a signature by letting numba figure out the …
Installation — Numba 0.52.0.dev0+274.g626b40e-py3.7-linux …
We are now uploading packages to the numba channel on Anaconda Cloud for 32-bit little-endian, ARMv7-based boards, which currently includes the Raspberry Pi 2 and 3, but not the Pi 1 or Zero.
NumPy and numba — numba 0.12.0 documentation - PyData
Numba generated code will evaluate the full expression in one go, for each element. The numba approach approach avoids having temporal intermmediate arrays built, as well as avoiding revisiting …
Supported NumPy features — Numba 0.52.0.dev0+274.g626b40e …
Numba excels at generating code that executes on top of NumPy arrays. NumPy support in Numba comes in many forms: Numba understands calls to NumPy ufuncs and is able to generate equivalent …
Numba and types — numba 0.12.2 documentation - PyData
Finding out the types of values ¶ You can use the function numba.typeof to find out the numba type associated to a value.
1.1. A ~5 minute guide to Numba — Numba 0.41.0 documentation
Numba is a just-in-time compiler for Python that works best on code that uses NumPy arrays and functions, and loops. The most common way to use Numba is through its collection of decorators …