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@@ -199,12 +199,12 @@ _More Libraries can be found in the ["awesome machine learning"](https://github.
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* [NLTK](http://bit.ly/py-nltk) - Natural Language Toolkit
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* [Gensim](http://bit.ly/py-gensim) - Python library for topic modeling, document indexing and similarity retrieval with large corpora. Target audience is the natural language processing (NLP) and information retrieval (IR) community.
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* **Live Data Packages**
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* **Data APIs**
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* [twython](http://bit.ly/py-twython) - Python wrapper for the Twitter API
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* **Visualization Packages**
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* [matplotlib](http://bit.ly/matplotlib-docs) - well-integrated with analysis and data manipulation packages like numpy and pandas
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* [Orange](http://bit.ly/software-orangeviz) - Open source data visualization and analysis for novice and experts. Data mining through visual programming or Python scripting. Components for machine learning. Add-ons for bioinformatics and text mining
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* [Seaborn](http://bit.ly/seaborn-python) - a high-level statistical visualization package built on top of matplotlib
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* **iPython Data Science Notebooks**
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* [Data Science in IPython Notebooks](http://bit.ly/ipynb-ds) (Linear Regression, Logistic Regression, Random Forests, K-Means Clustering)

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