Alternatives and similar repositories for StartupFiles

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

• jakevdp / ProntoData
  Scripts to Analyze Pronto's Data Release
  ☆23Updated 10 years ago
• jreback / PyDataNYC2015
  PyData NYC 2015 conference
  ☆94Updated 10 years ago
• pymc-devs / uq_chapter
  Uncertainty quantification book chapter
  ☆50Updated 10 years ago
• fonnesbeck / scipy2015_tutorial
  Computational Statistics II Tutorial at SciPy 2015
  ☆48Updated 10 years ago
• GaelVaroquaux / stats_in_python_tutorial
  Material for the statistics in Python tutorial
  ☆43Updated 10 years ago
• TomAugspurger / postlearn
  Common post-estimation tasks for scikit-learn
  ☆17Updated 9 years ago
• wrobstory / pdxpython2015
  Portland Python Meetup March 2015
  ☆40Updated 10 years ago
• dask / old-dask-examples
  Collection of dask example notebooks
  ☆57Updated 7 years ago
• wrobstory / pydataseattle2015
  PyData Seattle 2015: Python Data Bikeshed
  ☆126Updated 10 years ago
• amueller / patsylearn
  Patsy Adaptors for Scikit-learn
  ☆48Updated 6 years ago
• deeplook / pydata_berlin2016_materials
  Collection of pointers to slides and repositories from speakers at PyData Berlin 2016
  ☆37Updated 9 years ago
• matplotlib / trendvis
  ☆115Updated 3 years ago
• amueller / pydata-nyc-advanced-sklearn
  Notebooks (and slides) for my PyData NYC 2014 tutorial on the more advanced features of scikit-learn.
  ☆68Updated 11 years ago
• altair-viz / altair_widgets
  Interactive data exploration with Altair
  ☆111Updated 5 years ago
• jrmontag / mnist-sklearn
  Code and notes from using scikit-learn on the MNIST digits dataset. For more of a narrative on this project, see the article:
  ☆29Updated 9 years ago
• jseabold / csc432-notebooks
  These are the IPython notebook files for the CSC 432 Spring '13 course.
  ☆23Updated 10 years ago
• stitchfix / diamond
  Python solver for mixed-effects models
  ☆97Updated 7 months ago
• chdoig / scipy2015-blaze-bokeh
  Building Python Data Applications with Blaze and Bokeh Tutorial, SciPy 2015
  ☆144Updated 10 years ago
• pm8k / dataspyre_tutorial
  ☆33Updated 10 years ago
• coursera / pandas-ply
  functional data manipulation for pandas
  ☆198Updated 10 years ago
• joelgrus / stupid-itertools-tricks-pydata
  code for my "stupid itertools tricks" talk from pydata seattle 2015
  ☆152Updated 9 years ago
• mrocklin / pydata-toolz
  Tutorial for Funcitonal Python tutorial at PyData-NYC 2013
  ☆48Updated 11 years ago
• a-campbell / widgetsapp
  How to Bootstrap Internal Applications With IPython Widgets (PyData 2015)
  ☆19Updated 10 years ago
• amueller / advanced_git_nyu_2016
  Advanced git and github course material
  ☆40Updated 7 years ago
• wdm0006 / twitter-pandas
  A wrapper around tweepy to produce pandas dataframes for analysis
  ☆75Updated 9 years ago
• tfolkman / learningwithdata
  Code for Learning with Data Blog
  ☆64Updated 8 years ago
• captainsafia / notebook-snippet-manager
  A Jupyter Notebook extension for managing code snippets
  ☆51Updated 7 years ago
• tdhopper / pythonplot.com
  📈 Interactive comparison of Python plotting libraries for exploratory data analysis. Examples of using Pandas plotting, plotnine, Seabor…
  ☆112Updated 2 months ago
• csaid / polished_notebooks
  Jupyter notebook presentations with optional code visibility and no ugly elements
  ☆68Updated 8 years ago
• SylvainCorlay / PyDataLondon2016
  PyData London 2016 material
  ☆37Updated 9 years ago