Alternatives and similar repositories for dunders:

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

• tdpetrou / Data-Science-in-Two-Minutes
  Quick descriptions and answers of common data science tasks and questions
  ☆25Updated 8 years ago
• Apress / data-science-fund-for-python-and-mongodb
  Source code for ' Data Science Fundamentals for Python and MongoDB' by David Paper
  ☆31Updated 6 years ago
• AllenDowney / BayesSeminar
  Bayesian statistics seminars
  ☆30Updated 7 years ago
• xlwings / talks
  Material from presentations
  ☆13Updated 3 years ago
• realpython / web-dev-for-data-scientists
  ☆52Updated 7 years ago
• TomAugspurger / pydata-nyc-ph2t
  PyData NYC 2017: Pandas Head to Tail
  ☆57Updated 7 years ago
• cs109 / git-and-github
  An introduction to git.
  ☆11Updated 10 years ago
• croach / statistics-for-hackers
  A Jupyter notebook to accompany Jake VanderPlas's "Statistics for Hackers" talk from PyCon 2016.
  ☆77Updated 6 years ago
• veekaybee / veekaybee.github.io
  Tech blog
  ☆5Updated this week
• tdpetrou / integrating-pandas-with-scikit-learn
  Tutorial covering a new workflow available going from pandas to scikit-learn
  ☆40Updated 2 years ago
• hugobowne / machine_learning_techniques
  In which I implement some applications of machine learning techniques.
  ☆30Updated 8 years ago
• rsibi / Springboard
  Springboard - Data Science Intensive course
  ☆13Updated 8 years ago
• franckjay / GoodReadsGraph
  Build a Graph Database of Good Reads book data to recommend novel novels to users
  ☆26Updated 2 years ago
• ericmjl / minimal-flask-example
  The simplest complex example that I can think of to show main Flask app concepts.
  ☆47Updated this week
• StrikingLoo / dask-dataframe-benchmarking
  A Jupyter Notebook I made to try out dask's Dataframes
  ☆27Updated 6 years ago
• Apress / pro-python-best-practices
  Source code for 'Pro Python Best Practices' by Kristian Rother
  ☆78Updated 7 years ago
• jbwhit / data-science-teams
  Miscellaneous Jupyter Notebooks for my course.
  ☆24Updated 8 years ago
• tdhopper / pythonplot.com
  📈 Interactive comparison of Python plotting libraries for exploratory data analysis. Examples of using Pandas plotting, plotnine, Seabor…
  ☆108Updated 3 years ago
• the-deep-learners / nyc-ds-academy
  In-class exercises for Deep Learning course at NYC Data Science Academy
  ☆32Updated 7 years ago
• justmarkham / pydata-dc-2016-tutorial
  Tutorial: Machine Learning with Text in scikit-learn
  ☆74Updated 8 years ago
• dbader / data-structures-py
  Implement various data structures from scratch in Python 3
  ☆22Updated 11 years ago
• tdpetrou / Book-Reviews
  ☆26Updated 7 years ago
• hunterowens / data-pipelines
  ☆29Updated 8 years ago
• datacamp / datacamp_facebook_live_titanic
  DataCamp Facebook Live Code Along Session 2: Learn how to complete a Kaggle competition using exploratory data analysis, data munging, da…
  ☆61Updated 5 years ago
• vi3k6i5 / pandas_basics
  basic pandas tutorials
  ☆48Updated 7 years ago
• unnati-xyz / intro-python-data-science
  Introduction to Data Science
  ☆18Updated 9 years ago
• PacktPublishing / Data-Science-Algorithms-in-a-Week
  Data Science Algorithms in a Week, published by Packt
  ☆34Updated 2 years ago
• justmarkham / data
  Python related videos and metadata powering =>
  ☆11Updated 7 years ago
• justmarkham / python-data-analysis-workshop
  Workshop: Intro to Python for Data Analysis
  ☆72Updated 10 years ago
• amueller / ml-workshop-short
  Two hour interactive machine learning workshop
  ☆22Updated 5 years ago