jbwhit / jupyter-tips-and-tricksLinks
Using Project Jupyter for data science.
☆257Updated 4 years ago
Alternatives and similar repositories for jupyter-tips-and-tricks
Users that are interested in jupyter-tips-and-tricks are comparing it to the libraries listed below
Sorting:
- ☆317Updated 4 years ago
- Code for a workshop on statistical interference using computational methods in Python.☆226Updated 4 years ago
- For the pandas tutorial at PyData Seattle: https://www.youtube.com/watch?v=otCriSKVV_8☆116Updated 4 years ago
- Reproducible Data Analysis Workflow in Jupyter☆118Updated 7 years ago
- Pandas tutorial for SciPy2015 and SciPy2016 conference☆142Updated 8 years ago
- Walkthrough exercises from PandasTutorial by Wes McKinney.☆150Updated 5 years ago
- Example Python DS project☆71Updated 7 years ago
- Materials for the "Advanced Scikit-learn" class in the afternoon☆165Updated 7 years ago
- Scikit-Learn Tutorial for PyData Seattle 2015☆136Updated 10 years ago
- Introduction to Statistical Modeling with Python (PyCon 2017)☆169Updated 5 years ago
- A short tutorial for data scientists on how to write tests for code + data.☆121Updated 5 years ago
- Creating interactive visualizations with Python☆259Updated 2 years ago
- Scipy 2017 scikit-learn tutorial by Alex Gramfort and Andreas Mueller☆287Updated 8 years ago
- Tutorial: Bayesian Statistical Analysis in Python☆321Updated 6 years ago
- code for my "stupid itertools tricks" talk from pydata seattle 2015☆152Updated 9 years ago
- Python notebooks for exercises covered in Stanford statlearning class (where exercises were in R).☆377Updated 10 years ago
- PyData, The Complete Works of☆298Updated 9 years ago
- Materials for PyCon 2017 presentation on optimizing Pandas code☆213Updated 6 years ago
- Data Science in 30 Minutes☆84Updated 10 years ago
- Website and material for the FIXME course on Practical Machine Learning☆88Updated 7 years ago
- Building Python Data Applications with Blaze and Bokeh Tutorial, SciPy 2015☆144Updated 10 years ago
- Materials for the pandas tutorial at PyData Chicago 2016☆56Updated 5 years ago
- Materials for the "Introduction to Machine Learning" class☆227Updated 6 years ago
- The ultimate reference guide to data wrangling with Python and R☆243Updated 3 years ago
- Parallel computing in Python tutorial materials☆308Updated 6 years ago
- Lecture content for UW Software Engineering for Data Scientists☆102Updated 2 years ago
- ☆195Updated 7 months ago
- Notebooks for the Altair tutorial☆365Updated 5 years ago
- Code for a tutorial on Bayesian Statistics by Allen Downey.☆357Updated 5 years ago
- Scipy 2018 scikit-learn tutorial by Guillaume Lemaitre and Andreas Mueller☆248Updated 7 years ago