Alternatives and similar repositories for data-testing-tutorial

Users that are interested in data-testing-tutorial are comparing it to the libraries listed below

• hackalog / bus_number
  Up Your Bus Number: A Primer for Reproducible Data Science
  ☆69Updated 6 years ago
• jakevdp / JupyterWorkflow
  Reproducible Data Analysis Workflow in Jupyter
  ☆118Updated 6 years ago
• hgrif / example-project
  Example Python DS project
  ☆71Updated 6 years ago
• docker-for-data-science / docker-for-data-science-tutorial
  Materials for "Docker for Data Science" tutorial presented at PyCon 2018 in Cleveland, OH
  ☆155Updated 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
• jbwhit / jupyter-tips-and-tricks
  Using Project Jupyter for data science.
  ☆259Updated 4 years ago
• tdpetrou / integrating-pandas-with-scikit-learn
  Tutorial covering a new workflow available going from pandas to scikit-learn
  ☆40Updated 2 years ago
• drivendata / data-science-is-software
  ☆317Updated 4 years ago
• TomAugspurger / pydata-nyc-ph2t
  PyData NYC 2017: Pandas Head to Tail
  ☆57Updated 7 years ago
• AlexIoannides / pymc-example-project
  Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.
  ☆105Updated 6 years ago
• TomAugspurger / pydata-chi-h2t
  Materials for the pandas tutorial at PyData Chicago 2016
  ☆55Updated 4 years ago
• fonnesbeck / intro_stat_modeling_2017
  Introduction to Statistical Modeling with Python (PyCon 2017)
  ☆168Updated 4 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
• hackalog / easydata
  A flexible template for doing reproducible data science in Python.
  ☆110Updated last year
• ericmjl / bayesian-stats-talk
  Doing Bayesian statistics in Python!
  ☆67Updated 7 years ago
• croach / statistics-for-hackers
  A Jupyter notebook to accompany Jake VanderPlas's "Statistics for Hackers" talk from PyCon 2016.
  ☆76Updated 6 years ago
• bgweber / DS_Production
  ☆155Updated 4 years ago
• TomAugspurger / dask-tutorial-pycon-2018
  ☆135Updated 5 years ago
• tdpetrou / pandas_cub
  Learn how to build a data analysis library from scratch
  ☆204Updated 3 years ago
• alanderex / pydata-pandas-workshop
  Material for my PyData Jupyter & Pandas Workshops, I'm also available for personal in-house trainings on request
  ☆65Updated 3 years ago
• TomAugspurger / pandas-head-to-tail
  ☆86Updated 7 years ago
• parsing-science / pydata_nyc_nov_2017
  ☆30Updated 7 years ago
• tkrabel / edaviz
  edaviz - Python library for Exploratory Data Analysis and Visualization in Jupyter Notebook or Jupyter Lab
  ☆225Updated 5 years ago
• d6t / d6t-python
  Accelerate data science
  ☆116Updated 4 years ago
• tdpetrou / Book-Reviews
  ☆26Updated 7 years ago
• civisanalytics / civisml-extensions
  scikit-learn-compatible estimators from Civis Analytics
  ☆59Updated 3 years ago
• InsightDataScience / docker-workshop
  Directions and Source code for Insight's Docker workshop.
  ☆22Updated 3 years ago
• amueller / ml-workshop-4-of-4
  Advanced Machine Learning with Scikit-learn part II
  ☆164Updated 5 years ago