ericmjl / data-testing-tutorial
A short tutorial for data scientists on how to write tests for code + data.
☆117Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for data-testing-tutorial
- Example Python DS project☆71Updated 6 years ago
- Introduction to Statistical Modeling with Python (PyCon 2017)☆167Updated 4 years ago
- Materials for the pandas tutorial at PyData Chicago 2016☆54Updated 4 years ago
- scikit-learn-compatible estimators from Civis Analytics☆59Updated 3 years ago
- Reproducible Data Analysis Workflow in Jupyter☆117Updated 6 years ago
- ☆135Updated 5 years ago
- Doing Bayesian statistics in Python!☆66Updated 6 years ago
- Tutorial covering a new workflow available going from pandas to scikit-learn☆40Updated last year
- Up Your Bus Number: A Primer for Reproducible Data Science☆68Updated 5 years ago
- ☆155Updated 4 years ago
- ☆318Updated 3 years ago
- 📈 Interactive comparison of Python plotting libraries for exploratory data analysis. Examples of using Pandas plotting, plotnine, Seabor…☆107Updated 3 years ago
- PyData NYC 2017: Pandas Head to Tail☆57Updated 6 years ago
- ☆37Updated 6 years ago
- ☆87Updated 6 years ago
- Summarise and explore Pandas DataFrames☆100Updated 4 years ago
- Code for a workshop on statistical interference using computational methods in Python.☆219Updated 3 years ago
- For the pandas tutorial at PyData Seattle: https://www.youtube.com/watch?v=otCriSKVV_8☆115Updated 3 years ago
- ☆30Updated 6 years ago
- Materials for "Docker for Data Science" tutorial presented at PyCon 2018 in Cleveland, OH☆151Updated 4 years ago
- Material for Talk at PyData Seattle 2017☆168Updated 6 years ago
- Using Project Jupyter for data science.☆259Updated 3 years ago
- ☆15Updated 2 years ago
- Repo for the ML_Insights python package☆147Updated last year
- Today I Learned Some Computer Stuff☆39Updated 6 years ago
- A fork of the cookiecutter-data-science leveraging Docker for local development.☆130Updated 4 years ago
- Accelerate data science☆117Updated 3 years ago