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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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Jupyter Notebook 98.9%
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Donne Martin 4c6bcef382 Added snippet for datetime replace. When aggregating or grouping time series data, it is sometimes 
useful to replace fields of a series of datetimes such as zeroing
        out the minute and second fields.
2015-01-24 08:14:50 -05:00
core Added snippet for datetime replace. When aggregating or grouping time series data, it is sometimes 2015-01-24 08:14:50 -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 pandas snippet skeleton package 2015-01-23 19:14:38 -05:00
scipy Added scipy snippet skeleton package 2015-01-23 19:14:49 -05:00
__init__.py Added __init__.py files 2015-01-23 16:08:32 -05:00
.gitignore Added .gitignore 2015-01-23 16:05:47 -05:00
LICENSE Added LICENSE 2015-01-23 16:07:56 -05:00
README.md Updated README wth list of packages this repo will contain. 2015-01-24 06:55:05 -05:00

README.md

pydatasnippets

Python data analysis snippets and nose unit tests (core Python, NumPy, pandas, matplotlib, SciPy).

core

Snippets and nose unit tests for core Python functionality geared towards data analysis.

numpy

Snippets and nose unit tests for NumPy functionality geared towards data analysis. Coming soon.

pandas

Snippets and nose unit tests for pandas functionality geared towards data analysis. Coming soon.

matplotlib

Snippets and nose unit tests for matplotlib functionality geared towards data analysis. Coming soon.

scipy

Snippets and nose unit tests for SciPy functionality geared towards data analysis. Coming soon.

##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.