Alternatives and similar repositories for data-science-is-software:

Users that are interested in data-science-is-software are comparing it to the libraries listed below

• ericmjl / data-testing-tutorial
  A short tutorial for data scientists on how to write tests for code + data.
  ☆119Updated 4 years ago
• jakevdp / JupyterWorkflow
  Reproducible Data Analysis Workflow in Jupyter
  ☆118Updated 6 years ago
• engarde-dev / engarde
  A library for defensive data analysis.
  ☆500Updated 5 years ago
• ianozsvald / data_science_delivered
  Observations from Ian on successfully delivering data science products
  ☆543Updated 3 years ago
• AllenDowney / CompStats
  Code for a workshop on statistical interference using computational methods in Python.
  ☆219Updated 3 years ago
• jreback / PyDataNYC2015
  PyData NYC 2015 conference
  ☆94Updated 9 years ago
• fonnesbeck / intro_stat_modeling_2017
  Introduction to Statistical Modeling with Python (PyCon 2017)
  ☆166Updated 4 years ago
• TomAugspurger / PyDataSeattle
  For the pandas tutorial at PyData Seattle: https://www.youtube.com/watch?v=otCriSKVV_8
  ☆115Updated 3 years ago
• jbwhit / jupyter-tips-and-tricks
  Using Project Jupyter for data science.
  ☆259Updated 4 years ago
• stitchfix / d3-jupyter-tutorial
  ☆196Updated 9 years ago
• jbwhit / OSCON-2015
  Code for my OSCON 2015 talk
  ☆83Updated 9 years ago
• TomAugspurger / pandas-head-to-tail
  ☆87Updated 6 years ago
• hgrif / example-project
  Example Python DS project
  ☆71Updated 6 years ago
• DataTau / datascience-anthology-pydata
  PyData, The Complete Works of
  ☆299Updated 8 years ago
• HHammond / PrettyPandas
  A Pandas Styler class for making beautiful tables
  ☆416Updated 2 years ago
• wrobstory / pydataseattle2015
  PyData Seattle 2015: Python Data Bikeshed
  ☆127Updated 9 years ago
• chdoig / scipy2015-blaze-bokeh
  Building Python Data Applications with Blaze and Bokeh Tutorial, SciPy 2015
  ☆144Updated 9 years ago
• pydata / parallel-tutorial
  Parallel computing in Python tutorial materials
  ☆303Updated 5 years ago
• TomAugspurger / pydata-nyc-ph2t
  PyData NYC 2017: Pandas Head to Tail
  ☆57Updated 7 years ago
• culturedbun / pandas-exercises
  Walkthrough exercises from PandasTutorial by Wes McKinney.
  ☆149Updated 4 years ago
• tdhopper / pythonplot.com
  📈 Interactive comparison of Python plotting libraries for exploratory data analysis. Examples of using Pandas plotting, plotnine, Seabor…
  ☆107Updated 3 years ago
• FilippoBovo / production-data-science
  Production Data Science: a workflow for collaborative data science aimed at production
  ☆454Updated 4 years ago
• AllenDowney / BayesMadeSimple
  Code for a tutorial on Bayesian Statistics by Allen Downey.
  ☆349Updated 4 years ago
• Volodymyrk / stats-testing-in-python
  collection of ipython notebooks for "How to Analyse an Online Experiment in Python" tutorial
  ☆60Updated 3 years ago
• TomAugspurger / pydata-chi-h2t
  Materials for the pandas tutorial at PyData Chicago 2016
  ☆55Updated 4 years ago
• jonathanrocher / pandas_tutorial
  Pandas tutorial for SciPy2015 and SciPy2016 conference
  ☆142Updated 7 years ago
• jseabold / depy
  DePy 2015 Talk
  ☆117Updated 7 years ago
• mdagost / pug_classifier
  Deep Learning for Pugs
  ☆74Updated 7 years ago
• parsing-science / pymc3_quickstart_guide
  ☆80Updated 8 years ago
• stevesimmons / PyDataDC2016-PandasFromTheInside
  Tutorial session from PyData Washington DC, Fri 7 October 2016
  ☆31Updated 8 years ago