Otargenpy

As this is a pre-alpha release, I want you to know that features may change, and enhancements will be made in future versions based on user feedback and ongoing development.

Users are encouraged to test otargenpy, report issues, and share improvement suggestions. Your contributions and feedback are invaluable in developing future releases.

Thank you!

As this is a pre-alpha release, I want you to know that features may change, and enhancements will be made in future versions based on user feedback and ongoing development.

Users are encouraged to test otargenpy, report issues, and share improvement suggestions. Your contributions and feedback are invaluable in developing future releases.

Thank you!

As this is a pre-alpha release, I want you to know that features may change, and enhancements will be made in future versions based on user feedback and ongoing development.

Users are encouraged to test otargenpy, report issues, and share improvement suggestions. Your contributions and feedback are invaluable in developing future releases.

Thank you!

As this is a pre-alpha release, I want you to know that features may change, and enhancements will be made in future versions based on user feedback and ongoing development.

Users are encouraged to test `otargenpy`, report issues, and share improvement suggestions. Your contributions and feedback are invaluable in developing future releases.

Thank you!

I am excited to announce the pre-alpha release of otargenpy v0.1.0, a Python package designed to simplify and enhance data retrieval and analysis from Open Target Genetics' GraphQL endpoint. This initial release marks the beginning of an easier and more efficient way to handle genetic data within the Python ecosystem.

Key Features in this Release:

- [ ] Effortless Data Retrieval: Seamlessly query Open Target Genetics' GraphQL endpoint with user-friendly Python functions.

- [ ] Data Transformation: Convert complex query results into tidy, pandas DataFrame structures for straightforward data analysis.

- [ ] Basic Visualization Tools: Initial capabilities for data visualization to quickly understand and interpret the retrieved complex genetic data frames.

- [ ] Pre-Alpha Testing: Early access for users to test functionalities and provide valuable feedback.

Getting Started: