mrocklin / slidesLinks
A template for slides using markdown
☆21Updated 5 years ago
Alternatives and similar repositories for slides
Users that are interested in slides are comparing it to the libraries listed below
Sorting:
- ☆19Updated 7 years ago
- HoloViews+Bokeh tutorial for JupyterCon 2017☆51Updated 2 years ago
- ☆76Updated 10 months ago
- A module to create animations in matplotlib using an intuitive declarative syntax☆25Updated 7 years ago
- Python library for configuring a package including defaults, env variable loading, and yaml loading.☆39Updated this week
- Conventionally parameterized probability distributions☆35Updated 10 months ago
- Run and time jupyter notebooks☆12Updated last year
- IPython magic for parallel profiling (like `%time`, but parallel)☆72Updated 8 years ago
- PyData SV 2013 Tutorial on Advanced Matplotlib☆57Updated 11 years ago
- SymPy tutorial materials for SciPy 2016☆41Updated 9 years ago
- Launch jobs, organize the output, and dissect the results☆32Updated 7 years ago
- Explorer visualization widget for the Jupyter notebook☆17Updated 8 years ago
- Convert LaTeX beamer files to Jupyter/IPython notebooks and RISE☆25Updated 7 years ago
- Advanced algorithms for xarray☆38Updated 4 months ago
- Material for 'Interactive Data Visualization with HoloViews & Bokeh' SciPy tutorial☆47Updated 2 years ago
- A collection of tools to preprocess, modify, and otherwise clean up Jupyter Notebooks☆65Updated 5 years ago
- A JupyterLab extension for displaying the contents of a Bokeh document☆31Updated 3 years ago
- Materials for "Parallelizing Scientific Python with Dask"☆70Updated 7 years ago
- Generate widgets from Parameterized objects in Jupyter or Bokeh server☆22Updated 5 years ago
- notebook files as source☆69Updated 3 months ago
- ☆50Updated 2 years ago
- Multiple linear regression from Statsmodels library coupled with Xarray library☆14Updated 6 years ago
- Dask tutorial for AnacondaCon 2019☆12Updated 6 years ago
- Material for the Advanced Scientific Python Programming course, University of Reading, 2016☆9Updated 8 years ago
- Perform high-speed calculations on columnar data without creating intermediate objects.☆81Updated 6 years ago
- Lecture notes for the "Programming with Python" course I have taught in Spring 2015. at The University of Manchester☆21Updated 8 years ago
- Efficiently generate and analyse high dimensional data.☆71Updated 10 months ago
- Course in Probabilistic Programming in Python for the 2018 EU Summer School☆23Updated 7 years ago
- kubernetes setup to bootstrap distributed on google container engine☆67Updated 6 years ago
- ⛔️ Deprecated: Create an examples gallery with sphinx from Jupyter Notebooks☆15Updated 4 years ago