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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 8b82750526 Added console, CLI, s3cmd note. Added URL to s3-parallel-put GitHub repo.
2015-02-20 10:16:35 -05:00
commands Added console, CLI, s3cmd note. Added URL to s3-parallel-put GitHub repo. 2015-02-20 10:16:35 -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
matplotlib Added matplotlib snippet skeleton package 2015-01-23 19:14:05 -05:00
numpy Added numpy snippet skeleton package 2015-01-23 19:14:27 -05:00
pandas Added code to read CSV data to Pandas, describe, list head, then write the CSV to another file 2015-02-15 17:48:13 -05:00
scikit-learn Added scikit-learn skeleton. Marked which projects are under active development and which are coming soon. Removed redundant info. 2015-01-26 09:15:12 -05:00
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__init__.py Added __init__.py files 2015-01-23 16:08:32 -05:00
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README.md Added Think Stats reference. Removed ref attribute from other References. 2015-02-18 06:25:08 -05:00

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.