Alternatives and similar repositories for python-seminar:

Users that are interested in python-seminar are comparing it to the libraries listed below

• UWSEDS / LectureNotes
  Lecture content for UW Software Engineering for Data Scientists
  ☆101Updated last year
• AllenDowney / CompStats
  Code for a workshop on statistical interference using computational methods in Python.
  ☆224Updated 4 years ago
• jonathanrocher / pandas_tutorial
  Pandas tutorial for SciPy2015 and SciPy2016 conference
  ☆142Updated 8 years ago
• amueller / odscon-sf-2015
  Material for ODSCON San Francisco 2015
  ☆79Updated 9 years ago
• DataTau / datascience-anthology-pydata
  PyData, The Complete Works of
  ☆299Updated 8 years ago
• thehackerwithin / berkeley
  The Hacker Within at the University of California - Berkeley
  ☆100Updated last year
• profjsb / python-bootcamp
  Python Bootcamp docs and lectures (UC Berkeley)
  ☆238Updated 8 years ago
• amueller / applied_ml_spring_2017
  Website and material for the FIXME course on Practical Machine Learning
  ☆90Updated 7 years ago
• fonnesbeck / scipy2014_tutorial
  Tutorial: Bayesian Statistical Analysis in Python
  ☆318Updated 5 years ago
• rasbt / pydata-chicago2016-ml-tutorial
  Machine learning with scikit-learn tutorial at PyData Chicago 2016
  ☆128Updated 8 years ago
• twiecki / pymc3_talk
  Bayesian Analysis in PyMC3.
  ☆79Updated 10 years ago
• chdoig / scipy2015-blaze-bokeh
  Building Python Data Applications with Blaze and Bokeh Tutorial, SciPy 2015
  ☆144Updated 9 years ago
• jakevdp / 2014_fall_ASTR599
  Content for my Astronomy 599 / Applied Math 500 Course: Intro to scientific computing in Python
  ☆79Updated 6 years ago
• craffel / theano-tutorial
  A collection of tutorials on neural networks, using Theano
  ☆222Updated 2 years ago
• jakevdp / JupyterWorkflow
  Reproducible Data Analysis Workflow in Jupyter
  ☆118Updated 6 years ago
• MishaTeplitskiy / Statistical_Learning_With_Python
  Introduction to Statistical Learning with Python -- a workshop I gave at the Computation Institute (U of Chicago) on 2015-01-21
  ☆15Updated 10 years ago
• jakevdp / sklearn_pydata2015
  Scikit-Learn Tutorial for PyData Seattle 2015
  ☆137Updated 9 years ago
• justmarkham / DAT7
  General Assembly's Data Science course in Washington, DC
  ☆233Updated 10 months ago
• jaberg / IPythonTheanoTutorials
  ☆196Updated 12 years ago
• amueller / pydata-strata-2015
  Slides and notebooks for PyData Strata San Jose
  ☆50Updated 10 years ago
• jakevdp / 2013_fall_ASTR599
  Content for my Astronomy 599 Course: Intro to scientific computing in Python
  ☆140Updated 6 years ago
• junpenglao / Bayesian-Cognitive-Modeling-in-Pymc3
  PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course
  ☆96Updated 7 years ago
• jakevdp / ESAC-stats-2014
  Material for my lectures at the ESAC statistics conference, Oct 27-31 2014
  ☆66Updated 10 years ago
• OpenAstronomy / python-3-for-scientists
  ☆76Updated 6 years ago
• amueller / advanced_training
  Advanced Scikit-learn training session
  ☆118Updated 8 years ago
• GaelVaroquaux / sklearn_pandas_tutorial
  EuroScipy 2014 tutorial: Introduction to predictive analytics with pandas and scikit-learn
  ☆84Updated 10 years ago
• jakevdp / sklearn_scipy2013
  Scikit-learn tutorials for the Scipy 2013 conference
  ☆325Updated 7 years ago
• fonnesbeck / scipy2015_tutorial
  Computational Statistics II Tutorial at SciPy 2015
  ☆48Updated 9 years ago
• rcompton / ml_cheat_sheet
  My notes and superstitions about common machine learning algorithms
  ☆365Updated 7 years ago
• glouppe / tutorials-scikit-learn
  Scikit-Learn tutorials
  ☆130Updated 6 years ago