A short tutorial for data scientists on how to write tests for code + data.
☆120May 16, 2026Updated 4 months 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. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- 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
- Fantastic Data and Where To Find Them: An introduction to APIs, RSS, and Scraping☆33Nov 9, 2020Updated 5 years ago
- An Introduction to the SciPy Ecosystem presentation☆10May 31, 2016Updated 10 years ago
- A data science Python library aimed at adding fuzz, noise and other issues to your data for testing purposes.☆31Mar 30, 2023Updated 3 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Pandas pipeline in graphviz☆11Mar 28, 2022Updated 4 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.☆16Dec 17, 2018Updated 7 years ago
- An introduction to network analysis and applied graph theory using Python and NetworkX☆1,122Updated this week
- The easiest way to integrate Kedro and Great Expectations☆54Dec 26, 2022Updated 3 years ago
- ☆31Oct 20, 2015Updated 10 years ago
- Birgitta is a Python ETL test and schema framework, providing automated tests for pyspark notebooks/recipes.☆16Nov 9, 2023Updated 2 years ago
- A library for defensive data analysis.☆500Jan 6, 2020Updated 6 years ago
- ☆11Jul 8, 2015Updated 11 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- 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
- Repository of code for my book "Mastering Pandas"☆14Jun 18, 2015Updated 11 years ago
- Presentations from meetups and conferences☆18Sep 4, 2020Updated 6 years ago
- Intro to Testing in Data Science Tutorial☆36Apr 1, 2022Updated 4 years ago
- Lecture content for UW Software Engineering for Data Scientists☆102Sep 28, 2023Updated 2 years ago
- Multi Channel Attribution☆10Mar 7, 2017Updated 9 years ago
- A collection of python utility functions☆11May 8, 2026Updated 4 months ago
- Analysis & Implementation of deep learning papers☆12Jan 26, 2018Updated 8 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- FT style charts, axes, scales etc☆11Sep 27, 2017Updated 8 years ago
- Up Your Bus Number: A Primer for Reproducible Data Science☆69Feb 23, 2019Updated 7 years ago
- Parallel computing in Python tutorial materials☆305Jun 27, 2019Updated 7 years ago
- Reproducible Data Analysis Workflow in Jupyter☆117Aug 24, 2018Updated 8 years ago
- A fork of the cookiecutter-data-science leveraging Docker for local development.☆130Dec 10, 2019Updated 6 years ago
- Slides and code for PyCon Canada 2016 talk.☆11Nov 12, 2016Updated 9 years ago
- Tutorial session from PyData London, Fri 6 May 2016☆11May 6, 2016Updated 10 years ago
- Example Python DS project☆72Aug 16, 2018Updated 8 years ago
- Tools for test driven data-wrangling and data validation.☆295Dec 5, 2021Updated 4 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- Gentle introduction to dash development and deployment via Heroku☆11Dec 8, 2022Updated 3 years ago
- ☆24Oct 25, 2018Updated 7 years ago
- Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath☆875Jun 15, 2020Updated 6 years ago
- Data models, build data warehouses and data lakes, automate data pipelines, and worked with massive datasets.☆12Jul 16, 2019Updated 7 years ago
- Reproducibility and Open Science Working Group and UW Reproducibility group☆31Feb 15, 2020Updated 6 years ago
- PyTorch implementation for the Neural Logic Machines (NLM).☆12May 7, 2019Updated 7 years ago
- Rstudio addin for version control and assignment management using git☆18Apr 7, 2025Updated last year