Objectives: Analyzed bike share data to uncover usage patterns across cities and evaluated Python code runtime.

Tools: Utilized Python(NumPy, Pandas, time, and streamlit), GitHub, VS Code.

Strategies and Techniques: Conducted data cleaning, exploratory data analysis, user behavior segmentation, and runtime analysis of code.

Results: Provided actionable insights on user behavior, and peak usage times, and optimized Python code for better performance.

App: bikesharetime