htorrence / pytest_examples

Related projects ⓘ

Alternatives and complementary repositories for pytest_examples

• tgoldenberg / kedro-mlflow-example
  ☆43Updated last year
• cambridgespark / pydata-testing-for-data-science
  ☆25Updated 5 months ago
• Bergvca / pyspark_dist_explore
  Data Exploration in PySpark made easy - Pyspark_dist_explore provides methods to get fast insights in your Spark DataFrames.
  ☆100Updated 5 years ago
• trainindata / testing-and-monitoring-ml-deployments
  Example project for the course "Testing & Monitoring Machine Learning Model Deployments"
  ☆134Updated 9 months ago
• canyon289 / PyTestforDataScience_PyDataLA
  Pytest for Data Science Beginners
  ☆58Updated 6 years ago
• schmidtbri / simple-ml-model-abc
  Code demonstrating a simple Machine Learning model abstract base class and its uses.
  ☆14Updated last year
• ericmjl / data-testing-tutorial
  A short tutorial for data scientists on how to write tests for code + data.
  ☆117Updated 4 years ago
• klemag / pydataLDN_2019-maintainable-code-for-data-science
  ☆47Updated 5 years ago
• priceloop / conventions
  ∞ Priceloop Engineering Conventions for Scala, Python, Git Workflow etc
  ☆102Updated 2 years ago
• bgweber / DS_Production
  ☆155Updated 4 years ago
• heidelbergcement / hcrystalball
  A library that unifies the API for most commonly used libraries and modeling techniques for time-series forecasting in the Python ecosyst…
  ☆151Updated 9 months ago
• trallard / airflow-tutorial
  🐍💨 Airflow tutorial for PyCon 2019
  ☆85Updated last year
• jem1031 / pandas-pipelines-custom-transformers
  Material for Talk at PyData Seattle 2017
  ☆168Updated 6 years ago
• tdda / tdda
  Test-Driven Data Analysis Functions
  ☆295Updated 3 months ago
• StevenMMortimer / ge-sklearn-pipeline-example
  Example using Great Expectations to Validate Data in a scikit-learn Pipeline
  ☆20Updated 4 years ago
• tamsanh / kedro-great
  The easiest way to integrate Kedro and Great Expectations
  ☆53Updated last year
• ananthdurai / airflow-training
  Airflow training for the crunch conf
  ☆105Updated 6 years ago
• tdpetrou / integrating-pandas-with-scikit-learn
  Tutorial covering a new workflow available going from pandas to scikit-learn
  ☆40Updated last year
• mlflow / mlp-regression-template
  Example repo to kickstart integration with mlflow pipelines.
  ☆73Updated 2 years ago
• EthanRosenthal / skits
  scikit-learn-inspired time series
  ☆197Updated 8 months ago
• ColtAllen / btyd
  Buy Till You Die and Customer Lifetime Value statistical models in Python.
  ☆114Updated 6 months ago
• ZaxR / bulwark
  Bulwark is a package for convenient property-based testing of pandas dataframes.
  ☆223Updated 4 years ago
• manifoldai / orbyter-cookiecutter
  Dockerized ML Cookiecutter
  ☆71Updated last year
• drivendataorg / nbautoexport
  Automatically export Jupyter notebooks to various file formats (.py, .html, and more) on save.
  ☆73Updated 9 months ago
• hackalog / bus_number
  Up Your Bus Number: A Primer for Reproducible Data Science
  ☆68Updated 5 years ago
• whiteboxml / teaching-ml-in-production
  ☆54Updated last year
• eyaltrabelsi / pandas-log
  The goal of pandas-log is to provide feedback about basic pandas operations. It provides simple wrapper functions for the most common fun…
  ☆214Updated 3 years ago
• hgrif / example-project
  Example Python DS project
  ☆71Updated 6 years ago