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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.
awsbig-datacaffedata-sciencedeep-learninghadoopkagglekerasmachine-learningmapreducematplotlibnumpypandaspythonscikit-learnscipysparktensorflowtheano
core | ||
matplotlib | ||
numpy | ||
pandas | ||
scikit-learn | ||
scipy | ||
__init__.py | ||
.gitignore | ||
LICENSE | ||
README.md |
pydatanotebooks
IPython Notebooks geared towards Python data analysis (core Python, NumPy, pandas, matplotlib, SciPy, scikit-learn).
core
[Active Development] IPython Notebooks demonstrating core Python functionality geared towards data analysis.
numpy
[Coming Soon] IPython Notebooks demonstrating NumPy functionality.
pandas
[Coming Soon] 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.
##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.