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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 |
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.