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Numba 0.22.1-py2.7-macosx-10.5-x86_64.egg documentation
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1.8. Examples
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2.1. Types and signatures
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2. Reference Manual
ΒΆ
2.1. Types and signatures
2.1.1. Rationale
2.1.2. Signatures
2.1.3. Basic types
2.1.3.1. Numbers
2.1.3.2. Arrays
2.1.4. Advanced types
2.1.4.1. Inference
2.1.4.2. Numpy scalars
2.1.4.3. Arrays
2.1.4.4. Optional types
2.2. Just-in-Time compilation
2.2.1. JIT functions
2.2.2. Vectorized functions (ufuncs and DUFuncs)
2.3. Ahead-of-Time compilation
2.4. Environment variables
2.4.1. Errors and warnings display
2.4.2. Debugging
2.4.3. Compilation options
2.4.4. GPU support
2.5. Supported Python features
2.5.1. Language
2.5.1.1. Constructs
2.5.1.2. Function calls
2.5.1.3. Generators
2.5.2. Built-in types
2.5.2.1. int, bool
2.5.2.2. float, complex
2.5.2.3. tuple
2.5.2.4. list
2.5.2.5. None
2.5.2.6. bytes, bytearray, memoryview
2.5.3. Built-in functions
2.5.4. Standard library modules
2.5.4.1.
array
2.5.4.2.
cmath
2.5.4.3.
collections
2.5.4.4.
ctypes
2.5.4.5.
math
2.5.4.6.
operator
2.5.4.7.
random
2.5.5. Third-party modules
2.5.5.1.
cffi
2.6. Supported NumPy features
2.6.1. Scalar types
2.6.2. Array types
2.6.2.1. Array access
2.6.2.2. Attributes
2.6.2.2.1. The
flags
object
2.6.2.2.2. The
flat
object
2.6.2.3. Calculation
2.6.2.4. Other methods
2.6.3. Functions
2.6.4. Modules
2.6.4.1.
random
2.6.4.1.1. Initialization
2.6.4.1.2. Simple random data
2.6.4.1.3. Permutations
2.6.4.1.4. Distributions
2.6.5. Standard ufuncs
2.6.5.1. Limitations
2.6.5.2. Math operations
2.6.5.3. Trigonometric functions
2.6.5.4. Bit-twiddling functions
2.6.5.5. Comparison functions
2.6.5.6. Floating functions
2.7. Deviations from Python semantics
2.7.1. Integer width
2.7.2. Global and closure variables