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Jupyter Notebooks
=================
Steven K. Baum
v0.9, 2015-03-02
:doctype: book
:toc:
:icons:
:numbered!:
[preface]
Collections
-----------
IPython Notebook
~~~~~~~~~~~~~~~~
http://nbviewer.ipython.org/github/ipython/ipython/blob/master/examples/Notebook/Index.ipynb[+http://nbviewer.ipython.org/github/ipython/ipython/blob/master/examples/Notebook/Index.ipynb+]
IPython Cookbook
~~~~~~~~~~~~~~~~
https://github.com/ipython-books/cookbook-code[+https://github.com/ipython-books/cookbook-code+]
*****
Recipes of the IPython Cookbook, the definitive guide to high-performance scientific computing and data science in Python.
*****
Python for Developers
~~~~~~~~~~~~~~~~~~~~~
https://github.com/ricardoduarte/python-for-developers[+https://github.com/ricardoduarte/python-for-developers+]
http://ricardoduarte.github.io/python-for-developers/[+http://ricardoduarte.github.io/python-for-developers/+
]
*****
This book is geared toward those who already have programming knowledge. It covers topics that include: creation of user interfaces, computer graphics, internet applications, distributed systems, among other issues.
*****
Lectures on Scientific Computing with Python
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
*00 - Introduction to Scientific Computing with Python* - https://github.com/jrjohansson/scientific-python-lectures/blob/master/Lecture-0-Scientific-Computing-with-Python.ipynb[+https://github.com/jrjohansson/scientific-python-lectures/blob/master/Lecture-0-Scientific-Computing-with-Python.ipynb+]
*01 - Introduction to Python Programming* - https://github.com/jrjohansson/scientific-python-lectures/blob/master/Lecture-1-Introduction-to-Python-Programming.ipynb[+https://github.com/jrjohansson/scientific-python-lectures/blob/master/Lecture-1-Introduction-to-Python-Programming.ipynb+]
*02 - Numpy* - https://github.com/jrjohansson/scientific-python-lectures/blob/master/Lecture-2-Numpy.ipynb[+https://github.com/jrjohansson/scientific-python-lectures/blob/master/Lecture-2-Numpy.ipynb+]
*03 - Scipy* - https://github.com/jrjohansson/scientific-python-lectures/blob/master/Lecture-3-Scipy.ipynb[+https://github.com/jrjohansson/scientific-python-lectures/blob/master/Lecture-3-Scipy.ipynb+]
*04 - Matplotlib* - https://github.com/jrjohansson/scientific-python-lectures/blob/master/Lecture-4-Matplotlib.ipynb[+https://github.com/jrjohansson/scientific-python-lectures/blob/master/Lecture-4-Matplotlib.ipynb+]
*05 - Sympy* - https://github.com/jrjohansson/scientific-python-lectures/blob/master/Lecture-5-Sympy.ipynb[+https://github.com/jrjohansson/scientific-python-lectures/blob/master/Lecture-5-Sympy.ipynb+]
*06A - Fortran and C* - https://github.com/jrjohansson/scientific-python-lectures/blob/master/Lecture-6A-Fortran-and-C.ipynb[+https://github.com/jrjohansson/scientific-python-lectures/blob/master/Lecture-6A-Fortran-and-C.ipynb+]
*06B - HPC* - https://github.com/jrjohansson/scientific-python-lectures/blob/master/Lecture-6B-HPC.ipynb[+https://github.com/jrjohansson/scientific-python-lectures/blob/master/Lecture-6B-HPC.ipynb+]
*07 - Revision Control Software* - https://github.com/jrjohansson/scientific-python-lectures/blob/master/Lecture-7-Revision-Control-Software.ipynb[+https://github.com/jrjohansson/scientific-python-lectures/blob/master/Lecture-7-Revision-Control-Software.ipynb+]
Python for Geosciences
~~~~~~~~~~~~~~~~~~~~~~
https://github.com/koldunovn/python_for_geosciences[+https://github.com/koldunovn/python_for_geosciences+]
*01 - Scientific Modules and IPython* - https://github.com/koldunovn/python_for_geosciences/blob/master/01%20-%20Scientific%20modules%20and%20IPython.ipynb[+https://github.com/koldunovn/python_for_geosciences/blob/master/01%20-%20Scientific%20modules%20and%20IPython.ipynb+]
*02 - Python Basics* - https://github.com/koldunovn/python_for_geosciences/blob/master/02%20-%20Python%20basics.ipynb[+https://github.com/koldunovn/python_for_geosciences/blob/master/02%20-%20Python%20basics.ipynb+]
*03 - Numpy Arrays* - https://github.com/koldunovn/python_for_geosciences/blob/master/03%20-%20NumPy%20arrays.ipynb[+https://github.com/koldunovn/python_for_geosciences/blob/master/03%20-%20NumPy%20arrays.ipynb+]
*04 - Working with Different Data Formats* - https://github.com/koldunovn/python_for_geosciences/blob/master/04%20-%20Work%20with%20different%20data%20formats.ipynb[+https://github.com/koldunovn/python_for_geosciences/blob/master/04%20-%20Work%20with%20different%20data%20formats.ipynb+]
*05 - Graphs and Maps with Matplotlib and Basemap* - https://github.com/koldunovn/python_for_geosciences/blob/master/05%20-%20Graphs%20and%20maps%20%28Matplotlib%20and%20Basemap%29.ipynb[+https://github.com/koldunovn/python_for_geosciences/blob/master/05%20-%20Graphs%20and%20maps%20%28Matplotlib%20and%20Basemap%29.ipynb+]
*06 - Time Series Analysis with Pandas* - https://github.com/koldunovn/python_for_geosciences/blob/master/06%20-%20Time%20series%20analysis%20%28Pandas%29.ipynb[+https://github.com/koldunovn/python_for_geosciences/blob/master/06%20-%20Time%20series%20analysis%20%28Pandas%29.ipynb+]
*07 - Other Modules for Geoscientists* - https://github.com/koldunovn/python_for_geosciences/blob/master/07%20-%20Other%20modules%20for%20geoscientists.ipynb[+https://github.com/koldunovn/python_for_geosciences/blob/master/07%20-%20Other%20modules%20for%20geoscientists.ipynb+]
*****
Using Iris, Cartopy, Pydap, F2PY, netcdf4-python.
*****
Unidata Python Workshop 2015
~~~~~~~~~~~~~~~~~~~~~~~~~~~~
*Intro to Numpy and Matplotlib* - https://github.com/Unidata/unidata-python-workshop/blob/master/intro-numpy-and-matplotlib.ipynb[+https://github.com/Unidata/unidata-python-workshop/blob/master/intro-numpy-and-matplotlib.ipynb+]
*Pythonic Data Analysis* - https://github.com/Unidata/unidata-python-workshop/blob/master/pythonic-data-analysis-solution.ipynb[+https://github.com/Unidata/unidata-python-workshop/blob/master/pythonic-data-analysis-solution.ipynb+]
*Reading netCDF data* - https://github.com/Unidata/unidata-python-workshop/blob/master/reading_netCDF.ipynb[+https://github.com/Unidata/unidata-python-workshop/blob/master/reading_netCDF.ipynb+]
*Writing netCDF data* - https://github.com/Unidata/unidata-python-workshop/blob/master/writing_netCDF.ipynb[+https://github.com/Unidata/unidata-python-workshop/blob/master/writing_netCDF.ipynb+]
*****
How to use the https://github.com/Unidata/netcdf4-python[netcdf4-python] package.
*****
*netCDF File Visualization Case Study* - https://github.com/Unidata/unidata-python-workshop/blob/master/casestudy.ipynb[+https://github.com/Unidata/unidata-python-workshop/blob/master/casestudy.ipynb+]
*****
A visualization case study using netCDF, GRIB metadata, the
https://github.com/xray/xray[xray] data analysis library, and
the http://scitools.org.uk/cartopy/[cartopy] visualization library.
*****
*Geoscience visualization with Matplotlib and CartoPy* - https://github.com/Unidata/unidata-python-workshop/blob/master/matplotlib-and-cartopy.ipynb[+https://github.com/Unidata/unidata-python-workshop/blob/master/matplotlib-and-cartopy.ipynb+]
*Using numpy and KD-trees with netCDF data* - https://github.com/Unidata/unidata-python-workshop/blob/master/netcdf-by-coordinates.ipynb[+https://github.com/Unidata/unidata-python-workshop/blob/master/netcdf-by-coordinates.ipynb+]
*****
The goal is to demonstrate how to quickly access netCDF data based on geospatial coordinates instead of array indices. See also http://www.unidata.ucar.edu/blogs/developer/en/entry/accessing_netcdf_data_by_coordinates[Accessing netCDF Data by Coordinates].
*****
*Exploring Web Map Service (WMS)* - https://github.com/Unidata/unidata-python-workshop/blob/master/wms_sample.ipynb[+https://github.com/Unidata/unidata-python-workshop/blob/master/wms_sample.ipynb+]
*Using Python to get the latest NEXRAD Composite* - https://github.com/Unidata/unidata-python-workshop/blob/master/CompositeRadar.ipynb[+https://github.com/Unidata/unidata-python-workshop/blob/master/CompositeRadar.ipynb+]
*Using the Google Geocoding API to geolocate METAR data* - https://github.com/Unidata/unidata-python-workshop/blob/master/Geocoded_METAR.ipynb[+https://github.com/Unidata/unidata-python-workshop/blob/master/Geocoded_METAR.ipynb+]
*MetPy Python Toolkit for Meteorology* - https://github.com/Unidata/unidata-python-workshop/blob/master/MetPy.ipynb[+https://github.com/Unidata/unidata-python-workshop/blob/master/MetPy.ipynb+]
*Using Siphon to Query the NetCDF Subset Service* - https://github.com/Unidata/unidata-python-workshop/blob/master/SIPHON_NCSS_Example.ipynb[+https://github.com/Unidata/unidata-python-workshop/blob/master/SIPHON_NCSS_Example.ipynb+]
*Using Siphon to get NEXRAD Level 3 data from a TDS* - https://github.com/Unidata/unidata-python-workshop/blob/master/SIPHON_RadarServer_Example.ipynb[+https://github.com/Unidata/unidata-python-workshop/blob/master/SIPHON_RadarServer_Example.ipynb+]
*****
Using the https://github.com/Unidata/siphon[Siphon] Python utilities to retrieve data from a
THREDDS server.
*****
Miscellaneous
-------------
Python/IPython
~~~~~~~~~~~~~~
*A Crash Course in Python for Scientists* - http://nbviewer.ipython.org/gist/rpmuller/5920182[+http://nbviewer.ipython.org/gist/rpmuller/5920182+]
*Using Numba to Speed Up Numerical Codes* - http://nbviewer.ipython.org/gist/Juanlu001/3914904[+http://nbviewer.ipython.org/gist/Juanlu001/3914904+]
*A collection of not-so-obvious Python stuff you should know!* - http://nbviewer.ipython.org/github/rasbt/python_reference/blob/master/tutorials/not_so_obvious_python_stuff.ipynb?create=1[+http://nbviewer.ipython.org/github/rasbt/python_reference/blob/master/tutorials/not_so_obvious_python_stuff.ipynb?create=1+]
*Python 3 OOP* - http://nbviewer.ipython.org/github/lgiordani/blog_source/tree/master/pelican/content/notebooks/[+http://nbviewer.ipython.org/github/lgiordani/blog_source/tree/master/pelican/content/notebooks/+]
*CFD Python: 12 Steps to Navier-Stokes* - http://lorenabarba.com/blog/cfd-python-12-steps-to-navier-stokes/[+http://lorenabarba.com/blog/cfd-python-12-steps-to-navier-stokes/+]
*Python for Signal Processing* - http://nbviewer.ipython.org/github/unpingco/Python-for-Signal-Processing/tree/master/[+http://nbviewer.ipython.org/github/unpingco/Python-for-Signal-Processing/tree/master/+]
*AeroPython: Classical Aerodynamics with Python* - https://github.com/barbagroup/AeroPython[+https://github.com/barbagroup/AeroPython+]
*Exploratory Computing with Python* - http://mbakker7.github.io/exploratory_computing_with_python/[+http://mbakker7.github.io/exploratory_computing_with_python/+]
*****
A series of notebooks introducing the object oriented programming implementation in Python 3.
*****
Julia
~~~~~
*JuliaBox* - https://juliabox.org/[+https://juliabox.org/+]
*****
A site for creating and sharing IJulia notebooks.
*****
*An Introduction to Julia* - https://github.com/scidom/JuliaIntro.jl[+https://github.com/scidom/JuliaIntro.jl+]
*Learn Julia* - https://github.com/aviks/learn-julia[+https://github.com/aviks/learn-julia+]
*Scipy 2014 Julia* - https://github.com/dpsanders/scipy_2014_julia[+https://github.com/dpsanders/scipy_2014_julia+]
*Julia - EuroSciPy14* - http://nbviewer.ipython.org/github/stevengj/Julia-EuroSciPy14/blob/master/Overview.ipynb[+http://nbviewer.ipython.org/github/stevengj/Julia-EuroSciPy14/blob/master/Overview.ipynb+]
*****
The Julia tutorial delivered at Scipy 2014.
*****
*Vectorization in Julia* - https://software.intel.com/en-us/articles/vectorization-in-julia[+https://software.intel.com/en-us/articles/vectorization-in-julia+]
*World of Julia* - https://github.com/jiahao/ijulia-notebooks/blob/master/2014-06-30-world-of-julia.ipynb[+https://github.com/jiahao/ijulia-notebooks/blob/master/2014-06-30-world-of-julia.ipynb+]
*2-D Daubechies Wavelets* - http://nbviewer.ipython.org/github/gpeyre/numerical-tours/blob/master/julia/wavelet_4_daubechies2d.ipynb[+http://nbviewer.ipython.org/github/gpeyre/numerical-tours/blob/master/julia/wavelet_4_daubechies2d.ipynb+]
*Functional Geometry* - http://nbviewer.ipython.org/github/shashi/ijulia-notebooks/blob/master/funcgeo/Functional%20Geometry.ipynb[+http://nbviewer.ipython.org/github/shashi/ijulia-notebooks/blob/master/funcgeo/Functional%20Geometry.ipynb+]
*Tricked-Out Iterators in Julia* - https://github.com/carljv/Julia-Iterators/blob/master/iterator_tricks.ipynb[+https://github.com/carljv/Julia-Iterators/blob/master/iterator_tricks.ipynb+]
*****
See also the http://slendermeans.org/julia-iterators.html[blog post].
*****
Graphics
~~~~~~~~
*21 Interactive Plots from matplotlib, ggplot for Python,
prettyplotlib, Stack Overflow, and seaborn* -
http://nbviewer.ipython.org/gist/msund/7ac1203ded66fe8134cc[+http://nbviewer.ipython.org/gist/msund/7ac1203ded66fe8134cc+]
*Bokeh 5-Minute Overview* -
http://nbviewer.ipython.org/github/damianavila/bokeh_overview/blob/master/Bokeh%20Overview.ipynb?create=1[+http://nbviewer.ipython.org/github/damianavila/bokeh_overview/blob/master/Bokeh%20Overview.ipynb?create=1+]
*Bokeh in Python* - http://nbviewer.ipython.org/github/bokeh/bokeh-notebooks/blob/master/index.ipynb[+http://nbviewer.ipython.org/github/bokeh/bokeh-notebooks/blob/master/index.ipynb+]
*matplotlib: 2D and 3D plotting in Python* -
http://nbviewer.ipython.org/github/jrjohansson/scientific-python-lectures/blob/master/Lecture-4-Matplotlib.ipynb[+http://nbviewer.ipython.org/github/jrjohansson/scientific-python-lectures/blob/master/Lecture-4-Matplotlib.ipynb+]
*matta: view and scaffold d3.js visualizations in IPython notebooks* -
http://nbviewer.ipython.org/github/carnby/matta/blob/master/examples/Basic%20Examples.ipynb[+http://nbviewer.ipython.org/github/carnby/matta/blob/master/examples/Basic%20Examples.ipynb+]
*Plotly's Python API User Guide* -
http://nbviewer.ipython.org/github/plotly/python-user-guide/blob/master/s00_homepage/s00_homepage.ipynb[+http://nbviewer.ipython.org/github/plotly/python-user-guide/blob/master/s00_homepage/s00_homepage.ipynb+]
Geoscience
~~~~~~~~~~
*Amazon River Discharge* - https://github.com/koldunovn/nk_public_notebooks/blob/master/Amazon%20river%20discharge.ipynb[+https://github.com/koldunovn/nk_public_notebooks/blob/master/Amazon%20river%20discharge.ipynb+]
*****
Uses Pandas, Matplotlib, Basemap and Nio.
*****
*Geospatial Data with Python* - http://nbviewer.ipython.org/github/mqlaql/geospatial-data/blob/master/Geospatial-Data-with-Python.ipynb[+http://nbviewer.ipython.org/github/mqlaql/geospatial-data/blob/master/Geospatial-Data-with-Python.ipynb+]
*Interpolation Between Grids with Basemap* - http://earthpy.org/interpolation_between_grids_with_basemap.html[+http://earthpy.org/interpolation_between_grids_with_basemap.html+]
*Interpolation Between Grids with Pyresample* - http://earthpy.org/interpolation_between_grids_with_pyresample.html[+http://earthpy.org/interpolation_between_grids_with_pyresample.html+]
*****
The use of https://github.com/pytroll/pyresample[pyresample] to resample geospatial images.
*****
Signell
^^^^^^^
*Cartopy Terrain* - https://github.com/rsignell-usgs/notebook/blob/master/Cartopy/Cartopy_terrain.ipynb[+https://github.com/rsignell-usgs/notebook/blob/master/Cartopy/Cartopy_terrain.ipynb+]
*****
"Demonstrates cartopy's ability to draw map tiles which are downloaded on
demand from the MapQuest tile server. Internally these tiles are then combined
into a single image and displayed in the cartopy GeoAxes."
*****
Exploring Climate Data: Past and Future* - https://github.com/rsignell-usgs/ipython-notebooks/blob/master/files/Dust%20Bowl%20climate%20data%20example%20with%20GDP.ipynb[+https://github.com/rsignell-usgs/ipython-notebooks/blob/master/files/Dust%20Bowl%20climate%20data%20example%20with%20GDP.ipynb+]
*****
Using Python tools to access and manipulate climate data to discover how much precipitation
there was in the dustbowl years of the 1930s.
*****
*Read realtime data from NERACOOS ERDDAP* -
http://nbviewer.ipython.org/gist/rsignell-usgs/2a668eb67b1b41519475/ERDDAP_Brad.ipynb[+http://nbviewer.ipython.org/gist/rsignell-usgs/2a668eb67b1b41519475/ERDDAP_Brad.ipynb+]
ERDDAP
++++++
*NOAA NDBC Buoy Data from ERDDAP* - https://github.com/rsignell-usgs/notebook/blob/master/ERDDAP/ERDDAP_NERACOOS.ipynb[+https://github.com/rsignell-usgs/notebook/blob/master/ERDDAP/ERDDAP_NERACOOS.ipynb+]
*Read Bathymetric Data* - https://github.com/rsignell-usgs/notebook/blob/master/ERDDAP/ERDDAP_read_bathy.ipynb[+https://github.com/rsignell-usgs/notebook/blob/master/ERDDAP/ERDDAP_read_bathy.ipynb+]
*Read Boston Harbor Water Temperature* - https://github.com/rsignell-usgs/notebook/blob/master/ERDDAP/ERDDAP_Boston_Water_temp.ipynb[+https://github.com/rsignell-usgs/notebook/blob/master/ERDDAP/ERDDAP_Boston_Water_temp.ipynb+]
*Read Chlorophyll Data* - https://github.com/rsignell-usgs/notebook/blob/master/ERDDAP/ERDDAP_read.ipynb[+https://github.com/rsignell-usgs/notebook/blob/master/ERDDAP/ERDDAP_read.ipynb+]
*Read Data from MPALA ERDDAP* - https://github.com/rsignell-usgs/notebook/blob/master/ERDDAP/ERDDAP_MPALA.ipynb[+https://github.com/rsignell-usgs/notebook/blob/master/ERDDAP/ERDDAP_MPALA.ipynb+]
*Read GTS Data* - https://github.com/rsignell-usgs/notebook/blob/master/ERDDAP/ERDDAP_GTS_Test.ipynb[+https://github.com/rsignell-usgs/notebook/blob/master/ERDDAP/ERDDAP_GTS_Test.ipynb+]
SciTools: Cartopy, Iris and Biggus
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
*Cartopy in a Nutshell* -
http://nbviewer.ipython.org/github/SciTools/courses/blob/master/course_content/cartopy_intro.ipynb[+http://nbviewer.ipython.org/github/SciTools/courses/blob/master/course_content/cartopy_intro.ipynb+]
*An Introduction to Iris* -
http://nbviewer.ipython.org/github/SciTools/courses/blob/master/course_content/iris_intro.ipynb[+http://nbviewer.ipython.org/github/SciTools/courses/blob/master/course_content/iris_intro.ipynb+]
*Using Iris to Access Data from US-IOOS Models* -
https://www.wakari.io/sharing/bundle/rsignell/scitools[+https://www.wakari.io/sharing/bundle/rsignell/scitools+]
*Using Iris to access NCEP CFSR 30-year Wave Hindcast* -
http://nbviewer.ipython.org/gist/rsignell-usgs/5492513[+http://nbviewer.ipython.org/gist/rsignell-usgs/5492513+]
*Iris Example Code* -
http://nbviewer.ipython.org/github/pp-mo/iris_example_code/blob/master/index.ipynb[+http://nbviewer.ipython.org/github/pp-mo/iris_example_code/blob/master/index.ipynb+]
*Efficient large data operations with Biggus* -
http://nbviewer.ipython.org/github/pp-mo/biggus_talk/blob/master/biggus_talk.ipynb[+http://nbviewer.ipython.org/github/pp-mo/biggus_talk/blob/master/biggus_talk.ipynb+]
Numerical Analysis
~~~~~~~~~~~~~~~~~~
*Lectures and materials for the Fall 2014 Skoltech numerical linear algebra
course* - https://github.com/oseledets/NLA[+https://github.com/oseledets/NLA+]
*Some Linear Algebra with Cython* -
http://nbviewer.ipython.org/github/carljv/cython_testing/blob/master/cython_linalg.ipynb[+http://nbviewer.ipython.org/github/carljv/cython_testing/blob/master/cython_linalg.ipynb+]
*The Matrix Exponential* - http://nbviewer.ipython.org/github/sdrelton/matrix_function_notebooks/blob/master/TheMatrixExponential.ipynb[+http://nbviewer.ipython.org/github/sdrelton/matrix_function_notebooks/blob/master/TheMatrixExponential.ipynb+]
Data Analysis/Science
~~~~~~~~~~~~~~~~~~~~~
*Learn Data Science* - http://learnds.com/[+http://learnds.com/+]
*Pandas Cookbook* -
https://github.com/jvns/pandas-cookbook[+https://github.com/jvns/pandas-cookbook+]
*Timeseries with Pandas* -
http://nbviewer.ipython.org/github/changhiskhan/talks/blob/master/pydata2012/pandas_timeseries.ipynb[+http://nbviewer.ipython.org/github/changhiskhan/talks/blob/master/pydata2012/pandas_timeseries.ipynb+]
*Pandas Tutorials* -
https://bitbucket.org/hrojas/learn-pandas[+https://bitbucket.org/hrojas/learn-pandas+]
*Analyzing and visualizing sun spot data with Pandas* - http://nbviewer.ipython.org/gist/jhemann/4569783[+http://nbviewer.ipython.org/gist/jhemann/4569783+]
Parallel
~~~~~~~~
Easily distributing a parallel IPython Notebook on a cluster -
http://twiecki.github.io/blog/2014/02/24/ipython-nb-cluster/[+http://twiecki.github.io/blog/2014/02/24/ipython-nb-cluster/+]
Version Control
~~~~~~~~~~~~~~~
*Version Control for Fun and Profit* - http://nbviewer.ipython.org/github/fperez/reprosw/blob/master/Version%20Control.ipynb[+http://nbviewer.ipython.org/github/fperez/reprosw/blob/master/Version%20Control.ipynb+]
Uncategorized
-------------
IPython Cookbook -
http://ipython-books.github.io/cookbook/[+http://ipython-books.github.io/cookbook/+]
IPython Mini-Book Examples -
https://github.com/rossant/ipython-minibook[+https://github.com/rossant/ipython-minibook+]
Bookstore for IPython Notebooks -
https://developer.rackspace.com/blog/bookstore-for-ipython-notebooks/[+https://developer.rackspace.com/blog/bookstore-for-ipython-notebooks/+]
Why the three biggest positive contributions to reproducible research are the
iPython Notebook, knitr, and Galaxy -
http://simplystatistics.org/2014/09/04/why-the-three-biggest-positive-contributions-to-reproducible-research-are-the-ipython-notebook-knitr-and-galaxy/[+http://simplystatistics.org/2014/09/04/why-the-three-biggest-positive-contributions-to-reproducible-research-are-the-ipython-notebook-knitr-and-galaxy/+]
Javascript/Python Bi-directional Communication -
https://jakevdp.github.io/blog/2013/06/01/ipython-notebook-javascript-python-communication/[+https://jakevdp.github.io/blog/2013/06/01/ipython-notebook-javascript-python-communication/+]
The IPython Notebook: Get Close to Your Data with Python and JavaScript -
https://github.com/ellisonbg/talk-2014-strata-sc[+https://github.com/ellisonbg/talk-2014-strata-sc+]
Python
------
NumPy in the browser: proof of concept with Numba, LLVM, and emscripten -
http://cyrille.rossant.net/numpy-browser-llvm/[+http://cyrille.rossant.net/numpy-browser-llvm/+]
Awesome Python: A curated list of awesome Python frameworks, libraries and
software -
https://github.com/vinta/awesome-python[+https://github.com/vinta/awesome-python+]
11 Must-Read Python Blogs -
http://codecondo.com/blogs-for-python-developers/[+http://codecondo.com/blogs-for-python-developers/+]
First Steps With Python -
https://realpython.com/learn/python-first-steps/[+https://realpython.com/learn/python-first-steps/+]
Intermediate Pythonista -
http://intermediatepythonista.com/[+http://intermediatepythonista.com/+]
* The Function -
http://intermediatepythonista.com/the-function[+http://intermediatepythonista.com/the-function+]
Python Tips Tricks and Idioms -
https://codefisher.org/catch/blog/2015/01/27/python-tips-tricks-and-idioms/[+https://codefisher.org/catch/blog/2015/01/27/python-tips-tricks-and-idioms/+]
Top 10 Python idioms I wish I'd learned earlier -
http://prooffreaderplus.blogspot.com/2014/11/top-10-python-idioms-i-wished-id.html[+http://prooffreaderplus.blogspot.com/2014/11/top-10-python-idioms-i-wished-id.html+]
Python Tips and Traps -
https://www.airpair.com/python/posts/python-tips-and-traps[+https://www.airpair.com/python/posts/python-tips-and-traps+]
Hidden Features of Python -
http://stackoverflow.com/questions/101268/hidden-features-of-python[+http://stackoverflow.com/questions/101268/hidden-features-of-python+]
Asynchronous Python and Databases -
http://techspot.zzzeek.org/2015/02/15/asynchronous-python-and-databases/[+http://techspot.zzzeek.org/2015/02/15/asynchronous-python-and-databases/+]
Fast Non-Standard Data Structures for Python -
http://kmike.ru/python-data-structures/[+http://kmike.ru/python-data-structures/+]
Fun With Python Lists -
http://matthiaseisen.com/fwl/py/[+http://matthiaseisen.com/fwl/py/+]
Packaging a python library -
http://blog.ionelmc.ro/2014/05/25/python-packaging/[+http://blog.ionelmc.ro/2014/05/25/python-packaging/+]
Importing Python Modules -
http://effbot.org/zone/import-confusion.htm[+http://effbot.org/zone/import-confusion.htm+]
Solving Problems with Sets and Comprehensions in Python -
https://hackhands.com/solving-problems-sets-comprehensions-python/[+https://hackhands.com/solving-problems-sets-comprehensions-python/+]
A guide to Python's function decorators -
http://thecodeship.com/patterns/guide-to-python-function-decorators/[+http://thecodeship.com/patterns/guide-to-python-function-decorators/+]
High Performance Python Extensions -
https://www.crumpington.com/blog/2014/10-19-high-performance-python-extensions-part-1.html[+https://www.crumpington.com/blog/2014/10-19-high-performance-python-extensions-part-1.html+]
How to run external programs from Python and capture their output -
http://fastml.com/how-to-run-external-programs-from-python-and-capture-their-output/[+http://fastml.com/how-to-run-external-programs-from-python-and-capture-their-output/+]
Python Metaprogramming for Mad Scientists and Evil Geniuses -
https://www.youtube.com/watch?v=Adr_QuDZxuM[+https://www.youtube.com/watch?v=Adr_QuDZxuM+]
Advanced Use of Python Decorators and Metaclasses -
http://lgiordani.com/blog/2014/10/14/decorators-and-metaclasses/[+http://lgiordani.com/blog/2014/10/14/decorators-and-metaclasses/+]
5 Functional Programming Tips in Python -
http://robinandeer.svbtle.com/5-functional-programming-tips-in-python[+http://robinandeer.svbtle.com/5-functional-programming-tips-in-python+]
LowClass Python: Style Guide for Data Scientists -
http://columbia-applied-data-science.github.io/pages/lowclass-python-style-guide.html[+http://columbia-applied-data-science.github.io/pages/lowclass-python-style-guide.html+]
Dataframes in Python -
http://ajkl.github.io/Dataframes/[+http://ajkl.github.io/Dataframes/+]
Working with Dataframes in Python -
http://www.gregreda.com/2013/10/26/working-with-pandas-dataframes/[+http://www.gregreda.com/2013/10/26/working-with-pandas-dataframes/+]
Learn Python Through Public Data Hacking -
http://www.dabeaz.com/pydata/[+http://www.dabeaz.com/pydata/+]
14 Best Python Pandas Features -
http://www.bigdataexaminer.com/14-best-python-pandas-features/[+http://www.bigdataexaminer.com/14-best-python-pandas-features/+]
Things in Pandas I Wish I'd Had Known Earlier -
http://nbviewer.ipython.org/github/rasbt/python_reference/blob/master/tutorials/things_in_pandas.ipynb[+http://nbviewer.ipython.org/github/rasbt/python_reference/blob/master/tutorials/things_in_pandas.ipynb+]
Mistakes Developers Make When Using Python for Big Data -
https://www.airpair.com/python/posts/top-mistakes-python-big-data-analytics[+https://www.airpair.com/python/posts/top-mistakes-python-big-data-analytics+]
Digital Signal Processing in Python -
http://greenteapress.com/thinkdsp/[+http://greenteapress.com/thinkdsp/+]
Overview of Python Visualization Tools -
http://pbpython.com/visualization-tools-1.html[+http://pbpython.com/visualization-tools-1.html+]
11 Python Libraries You Might Not Know -
http://blog.yhathq.com/posts/11-python-libraries-you-might-not-know.html[+http://blog.yhathq.com/posts/11-python-libraries-you-might-not-know.html+]
Data Science 45-Minute Ipython Notebook Intros -
https://github.com/DrSkippy/Data-Science-45min-Intros[+https://github.com/DrSkippy/Data-Science-45min-Intros+]
Must-Watch Videos About Python -
https://github.com/s16h/py-must-watch[+https://github.com/s16h/py-must-watch+]
Plotly for Python User Guide -
https://plot.ly/python/user-guide/[+https://plot.ly/python/user-guide/+]
Plotting Data Online via Plotly and Python -
http://www.blog.pythonlibrary.org/2014/10/27/plotting-data-online-via-plotly-and-python/[+http://www.blog.pythonlibrary.org/2014/10/27/plotting-data-online-via-plotly-and-python/+]
Create a GUI in Python with WxWidgets -
http://talkera.org/python/creating-a-gui-in-python-with-wxwidgets-tutorial-for-beginners/[+http://talkera.org/python/creating-a-gui-in-python-with-wxwidgets-tutorial-for-beginners/+]
Let's Write an LLVM Specializer for Python -
http://dev.stephendiehl.com/numpile/[+http://dev.stephendiehl.com/numpile/+]
Use pew, not virtualenvwrapper, for Python virtualenvs -
http://planspace.org/20150120-use_pew_not_virtualenvwrapper_for_python_virtualenvs/[+http://planspace.org/20150120-use_pew_not_virtualenvwrapper_for_python_virtualenvs/+]
Data Animations with Python and MoviePy -
http://zulko.github.io/blog/2014/11/29/data-animations-with-python-and-moviepy/[+http://zulko.github.io/blog/2014/11/29/data-animations-with-python-and-moviepy/+]
Building Quantum Computing Applications with Python -
http://talkera.org/python/an-introduction-to-building-quantum-computing-applications-with-python/[+http://talkera.org/python/an-introduction-to-building-quantum-computing-applications-with-python/+]
Simple and effective coin segmentation using Python and OpenCV -
http://blog.christianperone.com/?p=2711[+http://blog.christianperone.com/?p=2711+]
Primer on Jinja Templating -
https://realpython.com/blog/python/primer-on-jinja-templating/[+https://realpython.com/blog/python/primer-on-jinja-templating/+]
Vector Animations with Python -
http://zulko.github.io/blog/2014/09/20/vector-animations-with-python/[+http://zulko.github.io/blog/2014/09/20/vector-animations-with-python/+]
Interactive Data Visualization with D3.js, DC.js, Python, and MongoDB -
http://adilmoujahid.com/posts/2015/01/interactive-data-visualization-d3-dc-python-mongodb/[+http://adilmoujahid.com/posts/2015/01/interactive-data-visualization-d3-dc-python-mongodb/+]
Making GIFs From Video Files With Python -
http://zulko.github.io/blog/2014/01/23/making-animated-gifs-from-video-files-with-python/#[+http://zulko.github.io/blog/2014/01/23/making-animated-gifs-from-video-files-with-python/#+]
Getting started with Graphviz and Python -
http://matthiaseisen.com/pp/patterns/p0204/[+http://matthiaseisen.com/pp/patterns/p0204/+]
Web Scraping With Scrapy and MongoDB -
https://realpython.com/blog/python/web-scraping-with-scrapy-and-mongodb/#.VL0O62C2BPQ.hackernews[+https://realpython.com/blog/python/web-scraping-with-scrapy-and-mongodb/#.VL0O62C2BPQ.hackernews+]
Natural Language Processing with Python -
http://www.nltk.org/book/[+http://www.nltk.org/book/+]
Hacker's Guide to Neural Networks -
http://karpathy.github.io/neuralnets/[+http://karpathy.github.io/neuralnets/+]
Machine Learning for Hackers (Python notebooks of examples in MLFH book) -
http://nbviewer.ipython.org/github/carljv/Will_it_Python/tree/master/MLFH/[+http://nbviewer.ipython.org/github/carljv/Will_it_Python/tree/master/MLFH/+]
Probabilistic Programming and Bayesian Methods for Hackers -
http://camdavidsonpilon.github.io/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/[+http://camdavidsonpilon.github.io/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/+]
Full Stack Development - Fetching Data, Visualizing With D3, and Deploying
With Dokku -
https://realpython.com/blog/python/web-development-with-flask-fetching-data-with-requests/\#.VCwFPZHt-t0.hackernews[+https://realpython.com/blog/python/web-development-with-flask-fetching-data-with-requests/#.VCwFPZHt-t0.hackernews+]
12 Steps to Navier Stokes With Python -
http://nbviewer.ipython.org/github/barbagroup/CFDPython/blob/master/lessons/01_Step_1.ipynb[+http://nbviewer.ipython.org/github/barbagroup/CFDPython/blob/master/lessons/01_Step_1.ipynb+] (https://github.com/barbagroup/CFDPython[+https://github.com/barbagroup/CFDPython+])
Translating SQL to Pandas -
http://nbviewer.ipython.org/github/gjreda/pydata2014nyc/blob/master/demo.ipynb[+http://nbviewer.ipython.org/github/gjreda/pydata2014nyc/blob/master/demo.ipynb+]
An Even Better Lisp Interpreter in Python -
http://norvig.com/lispy2.html?[+http://norvig.com/lispy2.html?+]
Practical Data Science in Python -
http://radimrehurek.com/data_science_python/[+http://radimrehurek.com/data_science_python/+]
Hierarchical Agglomerative Clustering: A Python Tutorial -
http://nbviewer.ipython.org/github/rasbt/pattern_classification/blob/master/clustering/hierarchical/clust_complete_linkage.ipynb[+http://nbviewer.ipython.org/github/rasbt/pattern_classification/blob/master/clustering/hierarchical/clust_complete_linkage.ipynb+]
Frequentism and Bayesianism: A Python-driven Primer -
http://arxiv.org/abs/1411.5018[+http://arxiv.org/abs/1411.5018+]
Algorithms in Python (PDF Book) -
http://www.astro.sunysb.edu/steinkirch/reviews/algorithms_in_python.pdf[+http://www.astro.sunysb.edu/steinkirch/reviews/algorithms_in_python.pdf+]
TDD Web Dev With Python (ASCIIDOC format) -
https://github.com/hjwp/Book-TDD-Web-Dev-Python[+https://github.com/hjwp/Book-TDD-Web-Dev-Python+]