data-science-ipython-notebooks/README.md

# ipython-data-notebooks
IPython Notebooks geared towards Python data analysis (core Python, NumPy, pandas, matplotlib, SciPy, scikit-learn, aws, spark, command line).

## python-core

IPython Notebooks demonstrating core Python functionality geared towards data analysis.

* [data structures](http://nbviewer.ipython.org/github/donnemartin/ipython-data-notebooks/blob/master/python-core/structs.ipynb)
* [data structure utilities](http://nbviewer.ipython.org/github/donnemartin/ipython-data-notebooks/blob/master/python-core/structs_utils.ipynb)
* [functions](http://nbviewer.ipython.org/github/donnemartin/ipython-data-notebooks/blob/master/python-core/functions.ipynb)
* [datetime](http://nbviewer.ipython.org/github/donnemartin/ipython-data-notebooks/blob/master/python-core/datetime.ipynb)
* [unit tests](http://nbviewer.ipython.org/github/donnemartin/ipython-data-notebooks/blob/master/python-core/unit_tests.ipynb)

## pandas

IPython Notebooks demonstrating pandas functionality.

* [pandas](http://nbviewer.ipython.org/github/donnemartin/ipython-data-notebooks/blob/master/pandas/pandas.ipynb)
* [pandas io](http://nbviewer.ipython.org/github/donnemartin/ipython-data-notebooks/blob/master/pandas/pandas_io.ipynb)
* [pandas cleaning](http://nbviewer.ipython.org/github/donnemartin/ipython-data-notebooks/blob/master/pandas/pandas_clean.ipynb)

## aws

IPython Notebooks demonstrating Amazon Web Services functionality.

* [aws](http://nbviewer.ipython.org/github/donnemartin/ipython-data-notebooks/blob/master/aws/aws.ipynb)

## spark

IPython Notebooks demonstrating spark and HDFS functionality.

* [hdfs](http://nbviewer.ipython.org/github/donnemartin/ipython-data-notebooks/blob/master/spark/hdfs.ipynb)

## commands

IPython Notebooks demonstrating various command lines for Linux, Git, etc.

* [linux](http://nbviewer.ipython.org/github/donnemartin/ipython-data-notebooks/blob/master/commands/linux.ipynb)
* [git](http://nbviewer.ipython.org/github/donnemartin/ipython-data-notebooks/blob/master/commands/git.ipynb)
* [jekyll](http://nbviewer.ipython.org/github/donnemartin/ipython-data-notebooks/blob/master/commands/jekyll.ipynb)

## matplotlib

[Coming Soon] IPython Notebooks demonstrating matplotlib functionality.

## scikit-learn

[Coming Soon] IPython Notebooks demonstrating scikit-learn functionality.

## scipy

[Coming Soon] IPython Notebooks demonstrating SciPy functionality.

## numpy

[Coming Soon] IPython Notebooks demonstrating NumPy functionality.

## References

* [Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython](http://www.amazon.com/Python-Data-Analysis-Wrangling-IPython/dp/1449319793)
* [Building Machine Learning Systems with Python](http://www.amazon.com/Building-Machine-Learning-Systems-Python/dp/1782161406)
* [Think Bayes](http://www.amazon.com/Think-Bayes-Allen-B-Downey/dp/1449370780)
* [Think Stats](http://www.amazon.com/Think-Stats-Allen-B-Downey/dp/1449307116)

## License

    Copyright 2014 Donne Martin

    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.