8000 add blaze to Science and Data Analysis section · amitpp/awesome-python@c165252 · GitHub
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add blaze to Science and Data Analysis section
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README.md

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@@ -802,8 +802,8 @@ A curated list of awesome Python frameworks, libraries and software. Inspired by
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* [faker](http://www.joke2k.net/faker/) - A Python package that generates fake data.
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* [mixer](https://mixer.readthedocs.org) - Generating fake data and creating random fixtures for testing in Django ORM, SQLAlchemy, Peewee, MongoEngine, Pony ORM and etc.
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* [model_mommy](https://model-mommy.readthedocs.org/) - Creating random fixtures for testing in Django.
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* [ForgeryPy](https://pypi.python.org/pypi/ForgeryPy/0.1) - An easy to use forged data generator for Python. It's a port of [forgery](http://rubygems.org/gems/forgery).
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* [radar](https://github.com/barseghyanartur/radar) - Generate random datetime / time.
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* [ForgeryPy](https://pypi.python.org/pypi/ForgeryPy) - An easy to use forged data generator for Python. It's a port of [forgery](http://rubygems.org/gems/forgery).
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* [radar](https://pypi.python.org/pypi/radar) - Generate random datetime / time.
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* Error Handler
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* [FuckIt.py](https://github.com/ajalt/fuckitpy) - FuckIt.py uses state-of-the-art technology to make sure your Python code runs whether it has any right to or not.
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* [Biopython](http://biopython.org/wiki/Main_Page) - Biopython is a set of freely available tools for biological computation.
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* [bccb](https://github.com/chapmanb/bcbb) - Collection of useful code related to biological analysis.
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* [bcbio-nextgen](https://github.com/chapmanb/bcbio-nextgen) - A toolkit providing best-practice pipelines for fully automated high throughput sequencing analysis.
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* [blaze](http://blaze.pydata.org/docs/latest/index.html) - NumPy and Pandas interface to Big Data.
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## Data Visualization

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