Alternatives and similar repositories for pandas_tricks:

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

• gapatino / Doing-frequentist-statistics-with-Scipy
  Repository for the PyData DC 2016 tutorial
  ☆29Updated 8 years ago
• algobeans / Time-Series-Forecasting
  Code to 1) scrap wikipedia page view counts, and to 2) conduct time series analysis with GAM
  ☆47Updated 7 years ago
• dannguyen / python-notebooks-data-wrangling
  Python 3.x notebooks about real-world data cleaning and visualization
  ☆71Updated 8 years ago
• rhiever / DataSciencePython
  common data analysis and machine learning tasks using python
  ☆30Updated 8 years ago
• ethen8181 / Business-Analytics
  Data Analytics, Statistics, Visualization (R / Python)
  ☆92Updated 7 years ago
• ericmjl / bayesian-stats-talk
  Doing Bayesian statistics in Python!
  ☆67Updated 7 years ago
• fonnesbeck / intro_stat_modeling_2017
  Introduction to Statistical Modeling with Python (PyCon 2017)
  ☆166Updated 4 years ago
• cs109 / 2015lab5
  Lab 5, the first on Machine Learning!
  ☆25Updated 8 years ago
• ikding / pycon_time_series
  PyCon 2017 tutorial on time series analysis
  ☆72Updated 7 years ago
• SethHWeidman / ODSC_Neural_Nets_11-04-17
  Talk "Deep Learning From Scratch Using Python" delivered at ODSC West on November 4, 2017
  ☆32Updated 7 years ago
• TomAugspurger / pydata-chi-h2t
  Materials for the pandas tutorial at PyData Chicago 2016
  ☆54Updated 4 years ago
• bugra / pydata-dal-2015
  Pydata Dallas 2015 Scikit-Learn Tutorial
  ☆62Updated 9 years ago
• yoonkanglow / Causal-Impact-Analysis-Demo
  ☆26Updated 7 years ago
• TomAugspurger / PyDataSeattle
  For the pandas tutorial at PyData Seattle: https://www.youtube.com/watch?v=otCriSKVV_8
  ☆116Updated 3 years ago
• jmportilla / Statistics-Notes
  iPython NOtebooks on Stats
  ☆163Updated 6 months ago
• podopie / DAT18NYC
  General Assembly repo for Data Science 18
  ☆36Updated 9 years ago
• justmarkham / pydata-dc-2016-tutorial
  Tutorial: Machine Learning with Text in scikit-learn
  ☆74Updated 8 years ago
• WillKoehrsen / data-science-for-good
  Data Science for Good Projects
  ☆49Updated 6 years ago
• AileenNielsen / PyGotham_2016_Probabilistic_Graphical_Models
  Presentation + Jupyter Notebook from PyGotham July 2016
  ☆35Updated last year
• gjreda / pydata2014nyc
  Materials for my pandas tutorial at PyData 2014, NYC
  ☆111Updated 9 years ago
• amueller / applied_ml_spring_2017
  Website and material for the FIXME course on Practical Machine Learning
  ☆90Updated 7 years ago
• RJT1990 / PyData2016-SanFrancisco
  A Tour of Time Series Analysis
  ☆23Updated 8 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
• AileenNielsen / OReillyHealthcareData
  ☆40Updated 7 years ago
• justmarkham / python-data-science-workshop
  Workshop: Python for Data Science
  ☆62Updated 10 years ago
• parsing-science / pymc3_quickstart_guide
  ☆80Updated 8 years ago
• AllenDowney / CompStats
  Code for a workshop on statistical interference using computational methods in Python.
  ☆222Updated 4 years ago
• culturedbun / pandas-exercises
  Walkthrough exercises from PandasTutorial by Wes McKinney.
  ☆149Updated 4 years ago
• jmsteinw / Notebooks
  This is where all of the IPython Notebooks will be kept from the blog
  ☆60Updated 7 years ago
• ogrisel / sklearn_pycon2014
  Repository containing files for my PyCon 2014 scikit-learn tutorial.
  ☆59Updated 10 years ago