kisonecat / sequences-and-series
Course materials for a Calculus MOOC
☆73Updated 10 years ago
Related projects: ⓘ
- ☆18Updated this week
- A set of benchmark problems and implementations for Python☆62Updated last year
- Python client for ScienceOps☆29Updated 4 years ago
- Jupytext talk at PyParis 2018☆11Updated 5 years ago
- Articles on Data Science, Jupyter, and Pandas☆18Updated 8 years ago
- Materials for the IPython/Jupyter workshop at the NGCM Summer Academy, at Southampton University, Boldrewood campus.☆46Updated 6 years ago
- vIPer: a new tool for IPython notebooks.☆60Updated 9 years ago
- ☆19Updated 5 years ago
- Sage course 2014☆9Updated 10 years ago
- Repo for the paper "SymPy: symbolic computing in python"☆47Updated 3 years ago
- Materials for the Supercomputing 2016 tutorial on high performance Python☆16Updated last month
- Sage Notebook (flask), docs in $SAGE_LOCAL/share/doc/sagenb/index.html☆116Updated 4 years ago
- ☆13Updated 8 years ago
- Advanced git and github course material☆39Updated 6 years ago
- Introduction to NumPy - Tutorial @ EuroSciPy☆30Updated last year
- Rough working notes on neural networks☆44Updated 10 years ago
- Advanced workshop on XGBoost with Tianqi Chen in Santa Monica, June 2, 2016☆26Updated 7 years ago
- My talk at Strata 2014 in Santa Clara, CA☆74Updated 10 years ago
- These are the IPython notebook files for the CSC 432 Spring '13 course.☆23Updated 9 years ago
- ML@B blog☆23Updated 3 years ago
- Repository for code/examples/instructions for the MIT course 15.S60 "Software Tools for Operations Research"☆26Updated 10 years ago
- ☆66Updated 7 years ago
- A Binder-compatible repo with a requirements.txt file☆26Updated 7 years ago
- Advance Tutorial For SciPy☆76Updated 7 years ago
- A list of resources to jumpstart learning R & Data Science☆20Updated 9 years ago
- Material for some talks I have given☆63Updated this week
- SymPy tutorial materials for SciPy 2016☆42Updated 8 years ago
- Demo images for use in try.jupyter.org and tmpnb.org☆75Updated 6 years ago
- Machine Learning with Scikit-Learn (material for pydata Amsterdam 2016)☆30Updated 8 years ago
- ☆33Updated this week