A short tutorial for data scientists on how to write tests for code + data.
☆121Aug 24, 2020Updated 5 years ago
Alternatives and similar repositories for data-testing-tutorial
Users that are interested in data-testing-tutorial are comparing it to the libraries listed below
Sorting:
- ☆14Feb 8, 2016Updated 10 years ago
- Pandas in black and white: a collection of opinionated pandas flashcards☆14Feb 15, 2019Updated 7 years ago
- Doing Bayesian statistics in Python!☆68Jan 31, 2018Updated 8 years ago
- Materials for "Docker for Data Science" tutorial presented at PyCon 2018 in Cleveland, OH☆160Oct 17, 2020Updated 5 years ago
- Materials for dask talk at PyData NYC☆15Nov 11, 2015Updated 10 years ago
- Cookiecutter Dash is a tool to start developing Dash apps quickly.☆17Dec 17, 2018Updated 7 years ago
- An introduction to network analysis and applied graph theory using Python and NetworkX☆1,103Feb 3, 2026Updated last month
- Birgitta is a Python ETL test and schema framework, providing automated tests for pyspark notebooks/recipes.☆14Nov 9, 2023Updated 2 years ago
- A library for defensive data analysis.☆502Jan 6, 2020Updated 6 years ago
- ☆11Jul 8, 2015Updated 10 years ago
- ☆31Oct 20, 2015Updated 10 years ago
- Repository of code for my book "Mastering Pandas"☆14Jun 18, 2015Updated 10 years ago
- common data analysis and machine learning tasks using python☆33May 18, 2016Updated 9 years ago
- Containing codes of participation in Kaggle competitions.☆37Mar 7, 2016Updated 10 years ago
- Material for the statistics in Python tutorial☆43Oct 1, 2015Updated 10 years ago
- Causal inference for qualitative outcomes☆12Apr 2, 2025Updated 11 months ago
- Repository containing files for my PyCon 2014 scikit-learn tutorial.☆59Apr 9, 2014Updated 11 years ago
- Presentations from meetups and conferences☆18Sep 4, 2020Updated 5 years ago
- A collection of python utility functions☆11Mar 12, 2026Updated last week
- Lecture content for UW Software Engineering for Data Scientists☆102Sep 28, 2023Updated 2 years ago
- Intro to Testing in Data Science Tutorial☆36Apr 1, 2022Updated 3 years ago
- FDMNES☆10Jan 28, 2021Updated 5 years ago
- Analysis & Implementation of deep learning papers☆12Jan 26, 2018Updated 8 years ago
- Up Your Bus Number: A Primer for Reproducible Data Science☆69Feb 23, 2019Updated 7 years ago
- Repository of talks I've given☆23Oct 6, 2023Updated 2 years ago
- ARCHIVED 'NEON' 'API' Client☆11May 10, 2022Updated 3 years ago
- Slides and code for PyCon Canada 2016 talk.☆11Nov 12, 2016Updated 9 years ago
- Parallel computing in Python tutorial materials☆308Jun 27, 2019Updated 6 years ago
- Reproducible Data Analysis Workflow in Jupyter☆117Aug 24, 2018Updated 7 years ago
- Interpreting Deep Neural Networks with PyTorch☆15Oct 20, 2020Updated 5 years ago
- PyTennessee 2014: Statistical Data Analysis in Python☆85Jul 7, 2014Updated 11 years ago
- Ideas and examples related to integrating astropy modeling with other fitting packages☆13Mar 26, 2016Updated 9 years ago
- ☆13Sep 14, 2018Updated 7 years ago
- Example Python DS project☆71Aug 16, 2018Updated 7 years ago
- Tools for test driven data-wrangling and data validation.☆295Dec 5, 2021Updated 4 years ago
- Pytest for Data Science Beginners☆60Oct 21, 2018Updated 7 years ago
- Published by Packt☆13Jan 30, 2023Updated 3 years ago
- Using Apache Airflow to author, run and monitor complex data pipelines.☆12Oct 24, 2018Updated 7 years ago
- Gentle introduction to dash development and deployment via Heroku☆11Dec 8, 2022Updated 3 years ago