Alternatives and similar repositories for ThinkStats3:

Users that are interested in ThinkStats3 are comparing it to the libraries listed below

• AllenDowney / BiteSizeBayes
  An introduction to Bayesian statistics using Python and (coming soon) R.
  ☆131Updated last year
• AllenDowney / BayesSeminar
  Bayesian statistics seminars
  ☆30Updated 8 years ago
• tdhopper / pythonplot.com
  📈 Interactive comparison of Python plotting libraries for exploratory data analysis. Examples of using Pandas plotting, plotnine, Seabor…
  ☆108Updated 4 years ago
• AllenDowney / ExploratoryDataAnalysis
  Repository for an online class on Exploratory Data Analysis in Python
  ☆66Updated 5 years ago
• CamDavidsonPilon / PyDataNY_2019_tutorial
  Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference
  ☆25Updated 5 years ago
• AllenDowney / DataScience
  Site for a Data Science class taught by Allen Downey
  ☆44Updated 3 years ago
• AllenDowney / SurvivalAnalysisPython
  Explorations of survival analysis in Python
  ☆50Updated 2 years ago
• mwouts / jupytext_pyparis_2018
  Jupytext talk at PyParis 2018
  ☆11Updated 6 years ago
• AllenDowney / ProbablyOverthinkingIt2
  New repo for projects related to my blog, Probably Overthinking It.
  ☆18Updated 3 years ago
• fonnesbeck / enar_2019_tutorial
  A Primer on Python for Statistical Programming and Data Science
  ☆26Updated 6 years ago
• rtvt123 / QuantEcon.applications
  A repository that houses example code, applications and teaching material related to QuantEcon
  ☆11Updated 6 years ago
• dlsun / symbulate
  A symbolic algebra for specifying simulations.
  ☆36Updated last year
• changhiskhan / talks
  ☆24Updated 12 years ago
• QuantEcon / lecture-python-programming
  Source files for https://python-programming.quantecon.org
  ☆19Updated 4 years ago
• the-deep-learners / nyc-ds-academy
  In-class exercises for Deep Learning course at NYC Data Science Academy
  ☆32Updated 7 years ago
• hugobowne / machine_learning_techniques
  In which I implement some applications of machine learning techniques.
  ☆30Updated 8 years ago
• masinoa / probability
  Notes, problems, simulations developed while following the MIT Open Courseware class "Probability Systems Analysis
  ☆26Updated 2 years ago
• amueller / ml-workshop-4-of-4
  Advanced Machine Learning with Scikit-learn part II
  ☆163Updated 5 years ago
• tdpetrou / Minimally-Sufficient-Pandas
  There are always multiple ways to complete a task in Pandas. A minimal subset of the library is sufficient for almost everything.
  ☆83Updated 2 years ago
• buruzaemon / IntroductionToProbabilityPy
  Jupyter notebooks with the Python equivalent to the R code sections in Blitzstein and Hwang's Introduction To Probability, Second Edition
  ☆73Updated 6 years ago
• AllenDowney / ComplexityScience
  Repository for a workshop on Complexity Science
  ☆39Updated 3 years ago
• enthought / Numpy-Tutorial-SciPyConf-2017
  Default Repo description from terraform module
  Updated 7 years ago
• tdpetrou / integrating-pandas-with-scikit-learn
  Tutorial covering a new workflow available going from pandas to scikit-learn
  ☆40Updated 2 years ago
• arvindbetrabet / Practical_Statistics_for_Data_Scientists
  This repository has the Python equivalent code for the book Practical Statistics for Data Scientists: 50 Essential Concepts, by Peter Br…
  ☆37Updated 7 years ago
• rlabbe / statistical-rethinking
  Notebooks containing R code from Richard McElreath's Statistical Rethinking
  ☆72Updated 9 years ago
• TomAugspurger / pandas-head-to-tail
  ☆86Updated 6 years ago
• Foundations-of-Applied-Mathematics / Student-Materials
  Specification files for the Foundations of Applied Mathematics lab curriculum. https://foundations-of-applied-mathematics.github.io/
  ☆51Updated 8 months ago
• lesteve / euroscipy-2019-scikit-learn-tutorial
  ☆29Updated 5 years ago
• TomAugspurger / pydata-nyc-ph2t
  PyData NYC 2017: Pandas Head to Tail
  ☆57Updated 7 years ago
• deniederhut / Pandas-Tutorial-SciPyConf-2018
  ☆48Updated 6 years ago