Alternatives and similar repositories for ScipySuperpack

Users that are interested in ScipySuperpack are comparing it to the libraries listed below

• tfolkman / learningwithdata
  Code for Learning with Data Blog
  ☆64Updated 8 years ago
• jreback / PyDataNYC2015
  PyData NYC 2015 conference
  ☆94Updated 9 years ago
• wrobstory / pydataseattle2015
  PyData Seattle 2015: Python Data Bikeshed
  ☆127Updated 10 years ago
• jackgolding / FullStackDataAnalysis
  Presentation at Perth Data Science Meetup, February 2015
  ☆72Updated 10 years ago
• tarmstrong / nbdiff
  A diffing and merging tool for the IPython Notebook.
  ☆212Updated 10 years ago
• stitchfix / Algorithms-Notebooks
  Algorithm's team Jupyter Notebooks
  ☆113Updated 4 months ago
• chdoig / scipy2015-blaze-bokeh
  Building Python Data Applications with Blaze and Bokeh Tutorial, SciPy 2015
  ☆144Updated 10 years ago
• nwhitehead / pineapple
  ☆352Updated 2 years ago
• paulgb / subsample
  Randomly sample lines from a csv, tsv, or other line-based data file
  ☆125Updated 10 years ago
• amueller / advanced_git_nyu_2016
  Advanced git and github course material
  ☆39Updated 7 years ago
• erikbern / mta
  Scrape & analyze MTA arrival times
  ☆151Updated 9 years ago
• tburmeister / pyneural
  ☆212Updated 9 years ago
• CamDavidsonPilon / StartupFiles
  My IPython startup files.
  ☆109Updated 10 years ago
• benkahle / bayesianGameofThrones
  ☆57Updated 10 years ago
• nyghtowl / Neural_Net_Newbies
  Neural Net Starter Examples
  ☆89Updated 10 years ago
• joelgrus / stupid-itertools-tricks-pydata
  code for my "stupid itertools tricks" talk from pydata seattle 2015
  ☆153Updated 9 years ago
• addfor / tutorials
  ☆411Updated 7 years ago
• binder-project / binder
  reproducible executable environments
  ☆443Updated 8 years ago
• CoAxLab / DeBaCl
  Density Based Clustering (DeBaCl) Toolbox
  ☆102Updated 5 years ago
• T-002 / pycast
  Python forecasting and smoothing library
  ☆67Updated 6 years ago
• nsonnad / base16-ipython-notebook
  Themes for your IPython Notebook
  ☆473Updated 8 years ago
• glouppe / talk-pydata2015
  Talk on "Tree models with Scikit-Learn: Great learners with little assumptions" presented at PyPata Paris 2015
  ☆50Updated 10 years ago
• cmoscardi / embedded_d3_example
  NOTE: a magic we developed at The Data Incubator from this basis: https://github.com/thedataincubator/ihtml
  ☆88Updated 9 years ago
• merqurio / jupyter_themes
  A plugin to select syntax highlighting on Jupyter
  ☆163Updated 7 years ago
• zorzalerrante / datagramas
  datagramas - view and scaffold d3.js visualizations in Jupyter notebooks
  ☆132Updated 9 years ago
• PythonWorkshop / intro-to-sklearn
  Notebooks covering introductory material to ML, ML with sklearn and tips.
  ☆77Updated 7 years ago
• jakevdp / ipywidgets-static
  [obsolete] Static Widgets for IPython Notebooks
  ☆108Updated 4 years ago
• pymc-devs / uq_chapter
  Uncertainty quantification book chapter
  ☆49Updated 10 years ago
• jseabold / depy
  DePy 2015 Talk
  ☆117Updated 7 years ago
• probcomp / crosscat
  A domain-general, Bayesian method for analyzing high-dimensional data tables
  ☆328Updated last year