Python & Streamlit Expert-Python Code Consulting

Example

Reviewing a legacy Python codebase to identify inefficiencies, outdated libraries, and anti-patterns. Suggestions might include implementing modern Python features, such as list comprehensions and generator expressions, to replace older loop constructs, thereby improving performance and readability.

Scenario

A healthcare analytics company needs to optimize their data processing scripts to handle increasing volumes of data without increasing processing time.

Example

Advising on the design of a new Streamlit application intended for financial data analysis. This might include structuring the application to use caching effectively to avoid unnecessary recomputation and employing async features to improve user experience during data loading.

Scenario

A fintech startup is developing a tool for real-time stock market analysis and requires a scalable architecture that can grow with user demand.

Example

Refactoring a complex algorithm within a bioinformatics tool to use more descriptive variable and function names, along with structured error handling that makes the code's intent clear without relying on inline comments.

Scenario

A research institution wants their genetic sequencing software to be maintainable by multiple developers over time without extensive onboarding for each new team member.