jakevdp / git-introLinks
Git/Github Intro
☆13Updated 10 years ago
Alternatives and similar repositories for git-intro
Users that are interested in git-intro are comparing it to the libraries listed below
Sorting:
- ☆41Updated 10 years ago
- Computational Statistics II Tutorial at SciPy 2015☆48Updated 10 years ago
- Materials for my talk at PyData Chicago 2016☆20Updated 8 years ago
- an introduction to Data Science using Python☆30Updated 8 years ago
- Scripts to Analyze Pronto's Data Release☆23Updated 10 years ago
- Bayesian statistics seminars☆29Updated 8 years ago
- These are the IPython notebook files for the CSC 432 Spring '13 course.☆23Updated 10 years ago
- ☆28Updated 8 years ago
- How to Bootstrap Internal Applications With IPython Widgets (PyData 2015)☆19Updated 10 years ago
- Common post-estimation tasks for scikit-learn☆17Updated 9 years ago
- Collection of dask example notebooks☆57Updated 7 years ago
- PyData NYC 2015 conference☆94Updated 10 years ago
- Materials for the IPython/Jupyter workshop at the NGCM Summer Academy, at Southampton University, Boldrewood campus.☆47Updated 8 years ago
- PyData London 2016 material☆37Updated 9 years ago
- ☆52Updated 9 years ago
- Miscellaneous Jupyter Notebooks for my course.☆24Updated 9 years ago
- EuroScipy 2014 tutorial: Introduction to predictive analytics with pandas and scikit-learn☆85Updated 11 years ago
- Interactive data exploration with Altair☆111Updated 5 years ago
- ☆31Updated 10 years ago
- Material for the statistics in Python tutorial☆43Updated 10 years ago
- Portland Python Meetup March 2015☆40Updated 10 years ago
- HoloViews+Bokeh tutorial for JupyterCon 2017☆51Updated 3 years ago
- My IPython startup files.☆109Updated 10 years ago
- Machine Learning with Scikit-Learn (material for pydata Amsterdam 2016)☆30Updated 9 years ago
- Building Python Data Application Tutorials☆24Updated last year
- A Jupyter Notebook extension for managing code snippets☆51Updated 7 years ago
- Building Python Data Applications with Blaze and Bokeh Tutorial, SciPy 2015☆144Updated 10 years ago
- 📈 Interactive comparison of Python plotting libraries for exploratory data analysis. Examples of using Pandas plotting, plotnine, Seabor…☆112Updated 3 months ago
- PyData SV 2013 Tutorial on Advanced Matplotlib☆56Updated 12 years ago
- Pydata Seattle 2015 Trend Estimation in Time Series Signals Deck + Notebooks☆21Updated 10 years ago