CamDavidsonPilon / StartupFilesLinks
My IPython startup files.
☆109Updated 10 years ago
Alternatives and similar repositories for StartupFiles
Users that are interested in StartupFiles are comparing it to the libraries listed below
Sorting:
- Computational Statistics II Tutorial at SciPy 2015☆48Updated 10 years ago
- Scripts to Analyze Pronto's Data Release☆24Updated 9 years ago
- PyData NYC 2015 conference☆94Updated 9 years ago
- Uncertainty quantification book chapter☆49Updated 10 years ago
- Building Python Data Applications with Blaze and Bokeh Tutorial, SciPy 2015☆144Updated 10 years ago
- Common post-estimation tasks for scikit-learn☆17Updated 8 years ago
- Material for the statistics in Python tutorial☆43Updated 9 years ago
- Portland Python Meetup March 2015☆40Updated 10 years ago
- PyData Seattle 2015: Python Data Bikeshed☆127Updated 10 years ago
- Bayesian Analysis in PyMC3.☆79Updated 11 years ago
- Notebooks (and slides) for my PyData NYC 2014 tutorial on the more advanced features of scikit-learn.☆69Updated 10 years ago
- Python solver for mixed-effects models☆97Updated 3 months ago
- A simple example of containerized data science with python and Docker.☆51Updated 7 years ago
- D3 Widget examples☆66Updated 10 years ago
- Advanced git and github course material☆39Updated 7 years ago
- How to Bootstrap Internal Applications With IPython Widgets (PyData 2015)☆19Updated 9 years ago
- Collection of dask example notebooks☆57Updated 7 years ago
- ☆84Updated 7 years ago
- Code and notes from using scikit-learn on the MNIST digits dataset. For more of a narrative on this project, see the article:☆29Updated 9 years ago
- ☆115Updated 2 years ago
- ☆33Updated 9 years ago
- Probabilistic programming in Python workshop at Oslo universitetssykehus HF☆36Updated 9 years ago
- Interactive data exploration with Altair☆109Updated 4 years ago
- These are the IPython notebook files for the CSC 432 Spring '13 course.☆23Updated 10 years ago
- Code for Learning with Data Blog☆64Updated 8 years ago
- 📈 Interactive comparison of Python plotting libraries for exploratory data analysis. Examples of using Pandas plotting, plotnine, Seabor…☆110Updated 4 years ago
- Tutorial for Funcitonal Python tutorial at PyData-NYC 2013☆48Updated 11 years ago
- Patsy Adaptors for Scikit-learn☆48Updated 6 years ago
- Another library for defensive data analysis.☆29Updated 6 years ago
- DePy 2015 Talk☆117Updated 7 years ago