Numba 0.17.0-py2.7-linux-x86_64.egg documentation
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1.1. Overview
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1. User Manual
ΒΆ
1.1. Overview
1.2. Getting started
1.2.1. Installing using Conda
1.2.2. Installing from source
1.2.3. Checking your installation
1.3. Compiling Python code with
@jit
1.3.1. Basic usage
1.3.1.1. Lazy compilation
1.3.1.2. Eager compilation
1.3.2. Calling and inlining other functions
1.3.3. Signature specifications
1.3.4. Compilation options
1.3.4.1.
nopython
1.3.4.2.
nogil
1.4. Creating Numpy universal functions
1.4.1. The
@vectorize
decorator
1.4.2. The
@guvectorize
decorator
1.5. Compiling code ahead of time
1.6. Troubleshooting and tips
1.6.1. What to compile
1.6.2. My code doesn’t compile
1.6.3. The compiled code is too slow
1.7. Examples
1.7.1. Mandelbrot
1.7.2. Moving average
1.7.3. Multi-threading
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Numba 0.17.0-py2.7-linux-x86_64.egg documentation