Alternatives and similar repositories for pycon-speakers:

Users that are interested in pycon-speakers are comparing it to the libraries listed below

• jseabold / csc432-notebooks
  These are the IPython notebook files for the CSC 432 Spring '13 course.
  ☆23Updated 9 years ago
• choldgraf / jupyterblog
  A helper repository for converting Jupyter notebooks into a wordpress-friendly format
  ☆12Updated 8 years ago
• chop-dbhi / data-models-sqlalchemy
  SQLAlchemy models and DDL and ERD generation from chop-dbhi/data-models style JSON endpoints.
  ☆11Updated last year
• jakevdp / siglearn
  Tools for machine learning & modeling with noisy data
  ☆10Updated 9 years ago
• jakevdp / ProntoData
  Scripts to Analyze Pronto's Data Release
  ☆24Updated 9 years ago
• OpenRefine / refine-python
  Python client library for controlling Google Refine
  ☆40Updated 11 years ago
• odewahn / publishing-workflows-for-jupyter
  ☆13Updated 10 years ago
• logicx24 / DailyCalHousingAnalysis
  ☆22Updated 8 years ago
• wrobstory / pdxpython2015
  Portland Python Meetup March 2015
  ☆40Updated 9 years ago
• FrancescAlted / EuroPython2015
  Materials for the tutorial at EuroPython 2015
  ☆17Updated 9 years ago
• deeplook / pydata_berlin2016_materials
  Collection of pointers to slides and repositories from speakers at PyData Berlin 2016
  ☆37Updated 8 years ago
• danielfrg / copper
  Fast, easy and intuitive machine learning prototyping.
  ☆124Updated 10 years ago
• DistrictDataLabs / blog-files
  Public code files for the DDL blog
  ☆56Updated 6 years ago
• chdoig / ep2015-ml-tutorial
  Beginner's Guide to Machine Learning Competitions, EuroPython 2015, Tutorial
  ☆29Updated 8 years ago
• ianozsvald / pyconuk_using_sklearn_classification
  PyConUK 2016 talk - Using Machine Learning to solve a classification problem with scikit-learn - a practical walkthrough
  ☆18Updated 8 years ago
• brakmic / Data-Science-for-Losers
  Articles on Data Science, Jupyter, and Pandas
  ☆18Updated 9 years ago
• catherinedevlin / python_learners_glossary
  Definitions of Pardon jargon to help Python beginners understand Pythonista gobbletigook
  ☆54Updated 5 years ago
• mvaz / PyData2014-Berlin
  Networks meet Finance in Python - July 27 2014
  ☆23Updated 10 years ago
• Parsely / probably
  Probabilistic Data Structures in Python (originally presented at PyData 2013)
  ☆55Updated 3 years ago
• PyDataMadrid / 2016-Conference-Info
  Info for the PyData Madrid 2016 conference
  ☆53Updated 8 years ago
• rhiever / active-categorical-classifier
  A tool that evolves small brains capable of scanning and classifying an image.
  ☆13Updated 8 years ago
• SeanOC / pycon-2016-tutorial-vm
  VM Setup stuff for http://bit.ly/22giU4y
  ☆9Updated 8 years ago
• ContinuumIO / pydata-apps
  Building Python Data Application Tutorials
  ☆23Updated 7 months ago
• braz / pycon2015_talk
  The slides, code examples and resources for the PyCon 2015 Ireland talk on building data pipelines
  ☆13Updated 9 years ago
• amueller / advanced-sklearn-boston-nlp-2016
  Material and slides for Boston NLP meetup May 23rd 2016
  ☆17Updated 8 years ago
• damianavila / vIPer
  vIPer: a new tool for IPython notebooks.
  ☆60Updated 10 years ago
• greytip / data-science-utils
  Some wrappers around python modules for simplifying the data exploration process.
  ☆13Updated 3 months ago
• DistrictDataLabs / cultivar
  Multidimensional data explorer and visualization tool.
  ☆56Updated 7 years ago
• fonnesbeck / pytenn2014_tutorial
  PyTennessee 2014: Statistical Data Analysis in Python
  ☆85Updated 10 years ago
• frictionlessdata / tableschema-pandas-py
  Generate Pandas frames, load and extract data, based on JSON Table Schema descriptors.
  ☆52Updated 3 years ago