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Title: GitHub - navgupt/data-science-ipython-notebooks: Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines. https://bit.ly/data-notes

Open Graph Title: GitHub - navgupt/data-science-ipython-notebooks: Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines. https://bit.ly/data-notes

X Title: GitHub - navgupt/data-science-ipython-notebooks: Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines. https://bit.ly/data-notes

Description: Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines. https://bit.ly/data-notes - navgupt/data-science-ipython-notebooks

Open Graph Description: Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Pytho...

X Description: Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Pytho...

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https://github.com/navgupt/data-science-ipython-notebooks#tensor-flow-exercises
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https://github.com/navgupt/data-science-ipython-notebooks#deep-learning-misc
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https://github.com/navgupt/data-science-ipython-notebooks#mapreduce-python
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https://github.com/navgupt/data-science-ipython-notebooks#aws
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https://raw.githubusercontent.com/donnemartin/data-science-ipython-notebooks/master/images/commands.png
https://github.com/navgupt/data-science-ipython-notebooks#commands
linuxhttp://nbviewer.ipython.org/github/donnemartin/data-science-ipython-notebooks/blob/master/commands/linux.ipynb
anacondahttp://nbviewer.ipython.org/github/donnemartin/data-science-ipython-notebooks/blob/master/commands/misc.ipynb#anaconda
ipython notebookhttp://nbviewer.ipython.org/github/donnemartin/data-science-ipython-notebooks/blob/master/commands/misc.ipynb#ipython-notebook
githttp://nbviewer.ipython.org/github/donnemartin/data-science-ipython-notebooks/blob/master/commands/misc.ipynb#git
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djangohttp://nbviewer.ipython.org/github/donnemartin/data-science-ipython-notebooks/blob/master/commands/misc.ipynb#django
Pyramidhttps://github.com/Pylons/pyramid
Flaskhttps://github.com/mitsuhiko/flask
Tornadohttps://github.com/tornadoweb/tornado
Bottlehttps://github.com/bottlepy/bottle
https://github.com/navgupt/data-science-ipython-notebooks#misc
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algorithmiahttp://nbviewer.ipython.org/github/donnemartin/data-science-ipython-notebooks/blob/master/misc/Algorithmia.ipynb
https://github.com/navgupt/data-science-ipython-notebooks#notebook-installation
https://github.com/navgupt/data-science-ipython-notebooks#anaconda
Anacondahttp://docs.continuum.io/anaconda/install.html
minicondahttp://conda.pydata.org/miniconda.html
https://github.com/navgupt/data-science-ipython-notebooks#pip-requirements
https://github.com/navgupt/data-science-ipython-notebooks#dev-setup
dev-setuphttps://github.com/donnemartin/dev-setup
https://github.com/navgupt/data-science-ipython-notebooks#running-notebooks
here.http://ipython.org/notebook.html
https://github.com/navgupt/data-science-ipython-notebooks#credits
Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPythonhttp://www.amazon.com/Python-Data-Analysis-Wrangling-IPython/dp/1449319793
PyCon 2015 Scikit-learn Tutorialhttps://github.com/jakevdp/sklearn_pycon2015
Parallel Machine Learning with scikit-learn and IPythonhttps://github.com/ogrisel/parallel_ml_tutorial
Statistical Interference Using Computational Methods in Pythonhttps://github.com/AllenDowney/CompStats
TensorFlow Exampleshttps://github.com/aymericdamien/TensorFlow-Examples
TensorFlow Tutorialshttps://github.com/pkmital/tensorflow_tutorials
Summer School 2015https://github.com/mila-udem/summerschool2015
Kagglehttps://www.kaggle.com/
Yhat Bloghttp://blog.yhathq.com/
https://github.com/navgupt/data-science-ipython-notebooks#contributing
submit an issuehttps://github.com/donnemartin/data-science-ipython-notebooks/issues
https://github.com/navgupt/data-science-ipython-notebooks#contact-info
@donne_martinhttps://twitter.com/donne_martin
donnemartinhttps://github.com/donnemartin
donnemartinhttps://www.linkedin.com/in/donnemartin
donnemartin.comhttp://donnemartin.com
https://github.com/navgupt/data-science-ipython-notebooks#license
https://bit.ly/data-noteshttps://bit.ly/data-notes
Readme https://github.com/navgupt/data-science-ipython-notebooks#readme-ov-file
View license https://github.com/navgupt/data-science-ipython-notebooks#License-1-ov-file
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