Alternatives and similar repositories for pydata-networkx

Users that are interested in pydata-networkx are comparing it to the libraries listed below

• rtidatascience / connected-nx-tutorial
  Repository for code and notebooks for the a NetworkX Tutorial
  ☆72Updated 9 years ago
• WillKoehrsen / probabilistic-programming
  Experimenting with and teaching probabilistic programming
  ☆106Updated 3 years ago
• croach / oreilly-matplotlib-course
  Jupyter notebooks from my O'Reilly Media course "Matplolib for Developers: Data Visualization and Analysis with Python"
  ☆140Updated 8 years ago
• jakevdp / JupyterWorkflow
  Reproducible Data Analysis Workflow in Jupyter
  ☆118Updated 7 years ago
• amueller / ml-training-advanced
  Materials for the "Advanced Scikit-learn" class in the afternoon
  ☆165Updated 7 years ago
• ericmjl / data-testing-tutorial
  A short tutorial for data scientists on how to write tests for code + data.
  ☆121Updated 5 years ago
• TomAugspurger / dask-tutorial-pycon-2018
  ☆135Updated 6 years ago
• fonnesbeck / intro_stat_modeling_2017
  Introduction to Statistical Modeling with Python (PyCon 2017)
  ☆169Updated 5 years ago
• s-heisler / pycon2017-optimizing-pandas
  Materials for PyCon 2017 presentation on optimizing Pandas code
  ☆213Updated 6 years ago
• croach / statistics-for-hackers
  A Jupyter notebook to accompany Jake VanderPlas's "Statistics for Hackers" talk from PyCon 2016.
  ☆77Updated 7 years ago
• amueller / scipy-2018-sklearn
  Scipy 2018 scikit-learn tutorial by Guillaume Lemaitre and Andreas Mueller
  ☆249Updated 7 years ago
• bhargavvader / personal
  Contains Jupyter Notebooks of stuff I am working on.
  ☆197Updated 5 years ago
• dziganto / Data_Science_Fundamentals
  ☆101Updated 7 years ago
• dipanjanS / art_of_data_visualization
  The art of effective visualization of multi-dimensional data
  ☆164Updated 7 years ago
• jbwhit / jupyter-tips-and-tricks
  Using Project Jupyter for data science.
  ☆258Updated 4 years ago
• jem1031 / pandas-pipelines-custom-transformers
  Material for Talk at PyData Seattle 2017
  ☆168Updated 7 years ago
• sarguido / networkx-tutorial
  Twitter Network Analysis with NetworkX
  ☆94Updated 10 years ago
• WillKoehrsen / Bokeh-Python-Visualization
  A Bokeh project developed for learning and teaching Bokeh interactive plotting!
  ☆363Updated 4 years ago
• TomAugspurger / pydata-chi-h2t
  Materials for the pandas tutorial at PyData Chicago 2016
  ☆56Updated 5 years ago
• IanLondon / pandas_tricks
  A guide to useful pandas features for intermediate-level data mungers
  ☆35Updated 9 years ago
• jorisvandenbossche / pandas-tutorial
  Material for the pandas tutorial at EuroScipy 2016
  ☆210Updated 8 years ago
• TomAugspurger / PyDataSeattle
  For the pandas tutorial at PyData Seattle: https://www.youtube.com/watch?v=otCriSKVV_8
  ☆116Updated 4 years ago
• ikding / pycon_time_series
  PyCon 2017 tutorial on time series analysis
  ☆72Updated 8 years ago
• AllenDowney / CompStats
  Code for a workshop on statistical interference using computational methods in Python.
  ☆226Updated 4 years ago
• TomAugspurger / pydata-nyc-ph2t
  PyData NYC 2017: Pandas Head to Tail
  ☆57Updated 8 years ago
• datacamp / datacamp_facebook_live_nlp
  DataCamp Facebook Live Code Along Session 1: Enjoy.
  ☆126Updated 8 years ago
• docker-for-data-science / docker-for-data-science-tutorial
  Materials for "Docker for Data Science" tutorial presented at PyCon 2018 in Cleveland, OH
  ☆160Updated 5 years ago
• alanderex / pydata-pandas-workshop
  Material for my PyData Jupyter & Pandas Workshops, I'm also available for personal in-house trainings on request
  ☆65Updated 3 years ago
• tdpetrou / pandas_cub
  Learn how to build a data analysis library from scratch
  ☆209Updated 3 years ago
• hgrif / example-project
  Example Python DS project
  ☆71Updated 7 years ago