Python Script Maintenance Support
Budget: $30 – $250 USD
I’m looking for a seasoned Python professional to step in and keep my existing codebase running smoothly. The core of the project is a collection of data-processing scripts; several of them expose lightweight endpoints through Flask, so familiarity with that micro-framework is essential.
Here’s what I need from you: trace and squash the occasional bug, clean up sections that have grown messy, and tune performance when large datasets start to slow things down. I’d also appreciate guidance on best practices—whether that means introducing unit tests, improving logging, or suggesting smarter dependency management—so the project remains healthy as it evolves.
You’ll work from a private Git repository, submit pull requests with clear commit messages, and provide a concise change-log for every batch of fixes. If you spot opportunities for small enhancements, feel free to propose them; I’m open to sensible improvements as long as the primary focus stays on maintaining the current scripts.
Stack highlights you should already know:
• Python 3.x
• Flask for the few API wrappers around the scripts
• Typical data tooling (Pandas, NumPy, SQLAlchemy)
Deliverables will be merged, tested, and accepted once existing functionality passes and any new tests you add succeed. Let’s keep the communication tight, the code clean, and the turnaround quick.
Here’s what I need from you: trace and squash the occasional bug, clean up sections that have grown messy, and tune performance when large datasets start to slow things down. I’d also appreciate guidance on best practices—whether that means introducing unit tests, improving logging, or suggesting smarter dependency management—so the project remains healthy as it evolves.
You’ll work from a private Git repository, submit pull requests with clear commit messages, and provide a concise change-log for every batch of fixes. If you spot opportunities for small enhancements, feel free to propose them; I’m open to sensible improvements as long as the primary focus stays on maintaining the current scripts.
Stack highlights you should already know:
• Python 3.x
• Flask for the few API wrappers around the scripts
• Typical data tooling (Pandas, NumPy, SQLAlchemy)
Deliverables will be merged, tested, and accepted once existing functionality passes and any new tests you add succeed. Let’s keep the communication tight, the code clean, and the turnaround quick.
Related categories:
JavaScript
Python
Data Processing
Django
Software Architecture
Flask
NumPy
Pandas