Alternatives and similar repositories for example-project

Users that are interested in example-project are comparing it to the libraries listed below

• jbwhit / jupyter-tips-and-tricks
  Using Project Jupyter for data science.
  ☆259Updated 4 years ago
• ericmjl / data-testing-tutorial
  A short tutorial for data scientists on how to write tests for code + data.
  ☆120Updated 5 years ago
• drivendata / data-science-is-software
  ☆316Updated 4 years ago
• fonnesbeck / intro_stat_modeling_2017
  Introduction to Statistical Modeling with Python (PyCon 2017)
  ☆169Updated 4 years ago
• TomAugspurger / dask-tutorial-pycon-2018
  ☆136Updated 5 years ago
• TomAugspurger / PyDataSeattle
  For the pandas tutorial at PyData Seattle: https://www.youtube.com/watch?v=otCriSKVV_8
  ☆116Updated 3 years ago
• manifoldai / docker-cookiecutter-data-science
  A fork of the cookiecutter-data-science leveraging Docker for local development.
  ☆131Updated 5 years ago
• jem1031 / pandas-pipelines-custom-transformers
  Material for Talk at PyData Seattle 2017
  ☆168Updated 7 years ago
• TomAugspurger / pydata-nyc-ph2t
  PyData NYC 2017: Pandas Head to Tail
  ☆57Updated 7 years ago
• fonnesbeck / PyMC3_DataScienceLA
  PyMC3 tutorial for DataScience LA (January 2017)
  ☆67Updated 7 years ago
• d6t / d6t-python
  Accelerate data science
  ☆116Updated 4 years ago
• ericmjl / bayesian-stats-talk
  Doing Bayesian statistics in Python!
  ☆67Updated 7 years ago
• jakevdp / JupyterWorkflow
  Reproducible Data Analysis Workflow in Jupyter
  ☆118Updated 7 years ago
• TomAugspurger / pydata-chi-h2t
  Materials for the pandas tutorial at PyData Chicago 2016
  ☆55Updated 4 years ago
• amueller / ml-training-advanced
  Materials for the "Advanced Scikit-learn" class in the afternoon
  ☆165Updated 6 years ago
• AllenDowney / BayesMadeSimple
  Code for a tutorial on Bayesian Statistics by Allen Downey.
  ☆356Updated 4 years ago
• d6t / d6tpipe
  Push and pull data files like code
  ☆175Updated 2 years ago
• croach / statistics-for-hackers
  A Jupyter notebook to accompany Jake VanderPlas's "Statistics for Hackers" talk from PyCon 2016.
  ☆76Updated 7 years ago
• civisanalytics / civisml-extensions
  scikit-learn-compatible estimators from Civis Analytics
  ☆59Updated 3 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
• AllenDowney / CompStats
  Code for a workshop on statistical interference using computational methods in Python.
  ☆225Updated 4 years ago
• tdhopper / pythonplot.com
  📈 Interactive comparison of Python plotting libraries for exploratory data analysis. Examples of using Pandas plotting, plotnine, Seabor…
  ☆110Updated 4 years ago
• cmmalone / malone_OpenDataSciCon
  repository for code related to the end-to-end data analysis in python workshop, from the Open Data Science Conference 2015
  ☆15Updated 9 years ago
• parsing-science / pymc3_quickstart_guide
  ☆80Updated 9 years ago
• s-heisler / pycon2017-optimizing-pandas
  Materials for PyCon 2017 presentation on optimizing Pandas code
  ☆212Updated 5 years ago
• TomAugspurger / pandas-head-to-tail
  ☆87Updated 7 years ago
• jakevdp / sklearn_pydata2015
  Scikit-Learn Tutorial for PyData Seattle 2015
  ☆136Updated 10 years ago
• BigDataRepublic / bdr-analytics-py
  Common data science and data engineering utilities to help us perform analytics. Our toolbox for data scientists, licensed under Apache-2…
  ☆30Updated 7 years ago
• amueller / applied_ml_spring_2017
  Website and material for the FIXME course on Practical Machine Learning
  ☆88Updated 7 years ago
• joelgrus / stupid-itertools-tricks-pydata
  code for my "stupid itertools tricks" talk from pydata seattle 2015
  ☆153Updated 9 years ago