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82 lines
3.6 KiB
Markdown
82 lines
3.6 KiB
Markdown
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# ipython-data-notebooks
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IPython Notebooks geared towards Python data analysis (core Python, NumPy, pandas, matplotlib, SciPy, scikit-learn, aws, spark, command line).
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## python-core
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IPython Notebooks demonstrating core Python functionality geared towards data analysis.
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* [data structures](http://nbviewer.ipython.org/github/donnemartin/ipython-data-notebooks/blob/master/python-core/structs.ipynb)
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* [data structure utilities](http://nbviewer.ipython.org/github/donnemartin/ipython-data-notebooks/blob/master/python-core/structs_utils.ipynb)
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* [functions](http://nbviewer.ipython.org/github/donnemartin/ipython-data-notebooks/blob/master/python-core/functions.ipynb)
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* [datetime](http://nbviewer.ipython.org/github/donnemartin/ipython-data-notebooks/blob/master/python-core/datetime.ipynb)
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* [unit tests](http://nbviewer.ipython.org/github/donnemartin/ipython-data-notebooks/blob/master/python-core/unit_tests.ipynb)
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## pandas
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IPython Notebooks demonstrating pandas functionality.
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* [pandas](http://nbviewer.ipython.org/github/donnemartin/ipython-data-notebooks/blob/master/pandas/pandas.ipynb)
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* [pandas io](http://nbviewer.ipython.org/github/donnemartin/ipython-data-notebooks/blob/master/pandas/pandas_io.ipynb)
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* [pandas cleaning](http://nbviewer.ipython.org/github/donnemartin/ipython-data-notebooks/blob/master/pandas/pandas_clean.ipynb)
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## aws
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IPython Notebooks demonstrating Amazon Web Services functionality.
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* [aws](http://nbviewer.ipython.org/github/donnemartin/ipython-data-notebooks/blob/master/aws/aws.ipynb)
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## spark
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IPython Notebooks demonstrating spark and HDFS functionality.
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* [hdfs](http://nbviewer.ipython.org/github/donnemartin/ipython-data-notebooks/blob/master/spark/hdfs.ipynb)
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## commands
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IPython Notebooks demonstrating various command lines for Linux, Git, etc.
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* [linux](http://nbviewer.ipython.org/github/donnemartin/ipython-data-notebooks/blob/master/commands/linux.ipynb)
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* [git](http://nbviewer.ipython.org/github/donnemartin/ipython-data-notebooks/blob/master/commands/git.ipynb)
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* [jekyll](http://nbviewer.ipython.org/github/donnemartin/ipython-data-notebooks/blob/master/commands/jekyll.ipynb)
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## matplotlib
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[Coming Soon] IPython Notebooks demonstrating matplotlib functionality.
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## scikit-learn
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[Coming Soon] IPython Notebooks demonstrating scikit-learn functionality.
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## scipy
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[Coming Soon] IPython Notebooks demonstrating SciPy functionality.
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## numpy
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[Coming Soon] IPython Notebooks demonstrating NumPy functionality.
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## References
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* [Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython](http://www.amazon.com/Python-Data-Analysis-Wrangling-IPython/dp/1449319793)
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* [Building Machine Learning Systems with Python](http://www.amazon.com/Building-Machine-Learning-Systems-Python/dp/1782161406)
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* [Think Bayes](http://www.amazon.com/Think-Bayes-Allen-B-Downey/dp/1449370780)
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* [Think Stats](http://www.amazon.com/Think-Stats-Allen-B-Downey/dp/1449307116)
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## License
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Copyright 2014 Donne Martin
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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