drewconway / NetworkX_Intro_Materials
Materials for Introduction to NetworkX workshop, presented at Sunbelt 2010
☆89Updated 14 years ago
Alternatives and similar repositories for NetworkX_Intro_Materials:
Users that are interested in NetworkX_Intro_Materials are comparing it to the libraries listed below
- Material for the statistics in Python tutorial☆43Updated 9 years ago
- These are the IPython notebook files for the CSC 432 Spring '13 course.☆23Updated 10 years ago
- Machine Learning with Scikit-Learn (material for pydata Amsterdam 2016)☆30Updated 9 years ago
- My IPython startup files.☆109Updated 10 years ago
- Interactive data exploration with Altair☆108Updated 4 years ago
- Scripts to Analyze Pronto's Data Release☆24Updated 9 years ago
- Python wrapper for the Vowpal Wabbit machine learning library.☆53Updated 11 years ago
- Tutorial on multilevel modeling, using Gelman radon example☆56Updated 9 years ago
- PyMC Example Notebooks☆74Updated 11 years ago
- Multidimensional data explorer and visualization tool.☆56Updated 7 years ago
- Experimental parallel data analysis toolkit.☆121Updated 3 years ago
- ☆21Updated 10 years ago
- PyTennessee 2014: Statistical Data Analysis in Python☆85Updated 10 years ago
- Computational Statistics II Tutorial at SciPy 2015☆48Updated 9 years ago
- Python forecasting and smoothing library☆67Updated 5 years ago
- ☆24Updated 9 years ago
- Tutorial for Funcitonal Python tutorial at PyData-NYC 2013☆48Updated 11 years ago
- D3 Widget examples☆66Updated 10 years ago
- A Binder-compatible repo with a requirements.txt file☆26Updated 7 years ago
- Simple validator for submissions to DrivenData competitions☆19Updated 5 years ago
- Bayesian statistics seminars☆30Updated 8 years ago
- Python (PyMC) adaptation of the R code from "Doing Bayesian Data Analysis"☆64Updated 8 years ago
- Webpages hosting for the Scientific Python Lectures☆80Updated last year
- Common post-estimation tasks for scikit-learn☆17Updated 8 years ago
- ☆32Updated 6 years ago
- Notes, problems, simulations developed while following the MIT Open Courseware class "Probability Systems Analysis☆26Updated 2 years ago
- 📈 Interactive comparison of Python plotting libraries for exploratory data analysis. Examples of using Pandas plotting, plotnine, Seabor…☆108Updated 4 years ago
- In which I implement some applications of machine learning techniques.☆30Updated 8 years ago
- Generate ipywidgets from Parameterized objects in the notebook☆36Updated 5 years ago
- Talk on "Tree models with Scikit-Learn: Great learners with little assumptions" presented at PyPata Paris 2015☆50Updated 10 years ago