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Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
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Donne Martin c454d12a45 Added Think Stats reference. Removed ref attribute from other References.
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commands Added snippets for setting up S3cmd and several frequently used commands. 2015-02-18 06:11:40 -05:00
core Reworked snippets for opening and closing a file to use 'with open' instead of open/close 2015-02-16 17:11:42 -05:00
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README.md

ipython-data-notebooks

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

core

IPython Notebooks demonstrating core Python functionality geared towards data analysis.

pandas

IPython Notebooks demonstrating pandas functionality.

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.

commands

IPython Notebooks demonstrating various command lines for AWS, Unix, etc.

References

##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.