Metadata-Version: 1.1
Name: parakeet
Version: 0.16.2
Summary: Runtime compiler for numerical Python.
Home-page: https://github.com/iskandr/parakeet
Author: Alex Rubinsteyn
Author-email: alexr@cs.nyu.edu
License: BSD
Description: Parakeet
        ====
        
        Parakeet is a runtime accelerator for an array-oriented subset of Python. 
        If you're doing a lot of number crunching in Python, 
        Parakeet may be able to significantly speed up your code. 
        
        
        To accelerate a function, wrap it with Parakeet's **@jit** decorator:
        
        ```python 
        
        import numpy as np 
        from parakeet import jit 
        
        x = np.array([1,2,3])
        y = np.tanh(x) * alpha + beta
           
        @jit
        def fast(x, alpha = 0.5, beta = 0.3):
          return np.tanh(x) * alpha + beta 
           
        @jit 
        def loopy(x, alpha = 0.5, beta = 0.3):
          y = np.empty_like(x)
          for i in xrange(len(x)):
            y[i] = np.tanh(x[i] * alpha + beta)
          return y
             
          
        @jit
        def comprehension(x, alpha = 0.5, beta = 0.3):
          return np.array([np.tanh(xi*alpha + beta) for xi in x])
          
        
        assert fast(x) == y
        assert loopy(x) == y
        assert comprehension(x) == y
        
        ```
        
        
        
        Install
        ====
        You should be able to install Parakeet from its [PyPI package](https://pypi.python.org/pypi/parakeet/) by running:
        
            pip install parakeet
        
        
        Dependencies
        ====
        
        Parakeet is written for Python 2.7 (sorry internet) and depends on:
        
        * [treelike](https://github.com/iskandr/treelike)
        * [nose](https://nose.readthedocs.org/en/latest/) for unit tests
        * [NumPy and SciPy](http://www.scipy.org/install.html)
        
        Optional (if using the LLVM backend):
        
        * [llvmpy](http://www.llvmpy.org/#quickstart)
        
        
        
        Supported language features
        ====
        
        Parakeet cannot accelerate arbitrary Python code, it only supports a limited subset of the language:
        
          * Scalar operations (i.e. addition, multiplication, etc...)
          * Control flow (if-statements, loops, etc...)
          * Tuples
          * Slices
          * NumPy arrays (and some NumPy library functions) 
          * List literals (interpreted as array construction)
          * List comprehensions (interpreted as array comprehensions)
          * Parakeet's "adverbs" (higher order array operations like parakeet.map, parakeet.reduce)
        
        How does it work? 
        ====
        Your untyped function gets used as a template from which multiple *type specializations* are generated 
        (for each distinct set of input types). 
        These typed functions are then churned through many optimizations before finally getting translated into native code. 
        For more information about the project you can watch the [Parakeet presentation](https://vimeo.com/73895275) from 
        this year's [PyData Boston](http://pydata.org/bos2013), look at the [HotPar slides](https://www.usenix.org/conference/hotpar12/parakeet-just-time-parallel-accelerator-python) from last year or contact the [Alex Rubinsteyn](http://www.rubinsteyn.com).
        
        Backends
        ===
        Parakeet currently supports compilation to C or LLVM. To switch between these options change `parakeet.config.default_backend` to either "c" or "llvm". 
        
        
        
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Topic :: Software Development :: Libraries
Classifier: License :: OSI Approved :: BSD License
Classifier: Intended Audience :: Developers
Classifier: Programming Language :: Python :: 2.7
