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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 | ||
scipy | ||
__init__.py | ||
.gitignore | ||
LICENSE | ||
README.md |
pydatanotebooks
Python data analysis IPython Notebooks (core Python, NumPy, pandas, matplotlib, SciPy).
core
Data Analysis IPython Notebooks (core Python, NumPy, pandas, matplotlib, SciPy).
numpy
IPython Notebooks demonstrating NumPy functionality geared towards data analysis. Coming soon.
pandas
IPython Notebooks demonstrating pandas functionality geared towards data analysis. Coming soon.
matplotlib
IPython Notebooks demonstrating matplotlib functionality geared towards data analysis. Coming soon.
scipy
IPython Notebooks demonstrating 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.