Worked on the apache/spark repository to address issues with prerelease version handling in the PySpark installation process. Focused on improving the reliability of pip installs for prerelease builds by updating Python regex logic in install.py to correctly parse version strings such as 4.2.0.dev4. Ensured that version normalization consistently applied the spark- prefix, preventing runtime errors during installation. Developed targeted unit tests to validate these changes, covering various prerelease scenarios and confirming robust handling of edge cases. This work leveraged Python development, regular expressions, and test-driven development to reduce install-time failures and streamline the adoption of prerelease versions.