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Python code optimizer.

Project description

https://travis-ci.org/kevinconway/pycc.svg?branch=master

PyCC is a Python code optimizer. It rewrites your code to make it faster.

Developer and usage documentation <http://pycc.readthedocs.org/en/latest/>.

Basic Example

Symbol table (variable) lookups don’t seem expensive at first.

# awesome_module.py

MAGIC_NUMBER = 7

for x in xrange(10000000):

    MAGIC_NUMBER * MAGIC_NUMBER

Now let’s make a crude benchmark.

# Generate bytecode file to skip compilation at runtime.
python -m compileall awesome_module.py
# Now get a simple timer.
time python awesome_module.pyc

# real    0m0.923s
# user    0m0.920s
# sys     0m0.004s

What does PyCC have to say about it?

pycc-transform awesome_module.py --constants
MAGIC_NUMBER = 7
for x in xrange(10000000):
    (7 * 7)

Neat, but what good does that do?

pycc-compile awesome_module.py -- constants
time python awesome_module.pyc

# real    0m0.473s
# user    0m0.469s
# sys     0m0.004s

How To Get It

pip install pycc

License

Copyright 2014 Kevin Conway

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at

   http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.

Contributing

All contributions to this project are protected under the agreement found in the CONTRIBUTING file. All contributors should read the agreement but, as a summary:

You give us the rights to maintain and distribute your code and we promise
to maintain an open source distribution of anything you contribute.

Project details


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