Python 3.7 Standard Library Module Index + Deprecation Flag

The Python Standard Library Module Index 3.7 dataset is a valuable resource for developers and organizations working with Python, providing clear insights into the deprecation status of all 327 Python 3.7 standard modules. As Python releases continue, keeping track of deprecated and removed modules is essential for maintaining codebase integrity, compatibility, and security. This dataset serves as a critical audit tool, enabling users to plan upgrades and mitigate potential risks associated with outdated or unsupported modules. The dataset is ideal for risk audit teams, software developers, and tech companies aiming to enhance their operational efficiency and reduce downtimes due to incompatible software dependencies.The dataset can be joined with our other [Standard Library Releases ](https://app.snowflake.com/marketplace/providers/GZT1Z1RAUM8/Version%255E)and our other [Python Package Datasets](https://app.snowflake.com/marketplace/providers/GZT1Z1RAUM8/Version%255E) to evaluate risk, answering these questions, among others:

- Which modules are deprecated within a particular package? e.g., **urllib3**
- On which 3rd-party non-standard libraries do your critical packages depend? e.g. **cryptography**
- How long has a module been deprecated? e.g. **optparse**

This dataset not only aids in immediate compatibility checks but also supports long-term software health monitoring and planning, providing a substantial return on investment by preventing future compatibility issues and fostering a proactive approach to software maintenance. This data release is from patch version [3.7.17](https://docs.python.org/release/3.7.17/py-modindex.html), and the first patch in 3.7 was 3.7.0. Additional patches may be added to this listing in the future. Python 3.7 was released on June 27, 2018. Below are the key benefits of this minor version:

- **Data Classes**: Introduced for easier creation of classes that primarily store data, reducing boilerplate code.
- **Postponed Evaluation of Annotations**: Annotations are stored as strings and evaluated only when needed, improving performance and flexibility.
- **Asyncio Improvements**: Enhanced performance and usability of asynchronous programming with new features and optimizations.
- **Context Variables**: Added to allow for context management in asynchronous code, improving the handling of state and context.

Python 3.7 reached end of life on June 27, 2023. Since then, Python 3.7 no longer receives security patches.