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  1. docs.greatexpectations.io › docs › ossCreate Expectations interactively with Python | Great ...

    Great Expectations installed in a Python environment. A Filesystem Data Context for your Expectations. Created a Data Source from which to request a Batch of data for introspection. Import the Great Expectations module and instantiate a Data Context. For this guide we will be working with Python code in a Jupyter Notebook.

  2. github.com › great-expectations › great_expectationsgreat-expectations/great_expectations - GitHub

    Python version support. GX OSS supports Python 3.8 through 3.11 . Experimental support for Python 3.12 and later can be enabled by setting a GX_PYTHON_EXPERIMENTAL environment variable when installing great_expectations. Get started. GX recommends deploying GX OSS within a virtual environment.

  3. pypi.org › project › great-expectationsgreat-expectations · PyPI

    Jun 18, 2024 · Always know what to expect from your data. (See https://github.com/great-expectations/great_expectations for full description).

  4. medium.com › @mostsignificant › python-data-validation-made-easy-with-the-greatPython Data Validation Made Easy with the Great Expectations ......

    Feb 26, 2023 · Great Expectations is a Python package that helps data engineers set up reliable data pipelines with built-in validation at each step. By defining clear expectations for your data, it ensures...

  5. docs.greatexpectations.io › docs › ossQuickstart | Great Expectations

    Use this quickstart to install GX OSS, connect to sample data, build your first Expectation, validate data, and review the validation results. This is a great place to start if you're new to GX OSS and aren't sure if it's the right solution for you or your organization.

  6. docs.greatexpectations.ioHome | Great Expectations

    Great Expectations documentation. Learn everything you need to know about GX Cloud and GX Open Source Software (OSS)

  7. colab.research.google.com › github › datarootsioGreat Expectations tutorial - Google Colab

    Dec 27, 2015 · In this tutorial we'll have a look at Great Expectations, a tool written and configured in Python that aids you in keeping an eye on your data quality. It provides a batteries-included...

  8. towardsdatascience.com › getting-started-with-great-expectations-a-guide-to-dataGetting Started with Great Expectations: A Guide to Data...

    Jul 12, 2023 · Great Expectations is an open-source Python library that is specialized in solving three important aspects to manage data: validating data by verifying if it respects some important conditions or expectations; automating data profiling to test your data fastly without the need of starting from scratch

  9. www.digitalocean.com › tutorials › how-to-test-your-data-with-great-expectationsHow To Test Your Data With Great Expectations | DigitalOcean

    Oct 15, 2021 · Introduction. In this tutorial, you will set up a local deployment of Great Expectations, an open source data validation and documentation library written in Python.

  10. medium.com › hashmapinc › understanding-great-expectations-and-how-to-use-it-7754cUnderstanding Great Expectations and How to Use It - Medium

    Feb 4, 2021 · Key features. Expectations are like assertions in traditional Python unit tests. Automated data profiling automates pipeline tests. Data Contexts and Data Sources allow you to configure...