Real‑Time Ride Dispatch in Python: Building Uber with FastAPI

<p>Unlock the secrets of real-time ride dispatch systems in our hands-on course, "Real-Time Ride Dispatch in Python: Building Uber with FastAPI." This beginner-friendly course empowers you to build a simplified Uber-style ride dispatch engine that efficiently ingests ride requests, finds the nearest driver, and returns the shortest path route within a city grid. By leveraging industry-standard technologies like FastAPI, SQLite, and Dijkstra's algorithm, you will gain practical insights into the world of software development and real-time systems.</p><p>Throughout the course, you will start by shipping a non-DSA baseline using naive scans and FIFO methods. You’ll then enhance your system by implementing priority queues, spatial indexing with grid buckets, and the Dijkstra algorithm. Experience the thrill of measuring performance improvements through Big-O analysis and benchmark tests using Locust. As a final project, you will compile a complexity and performance report, simulating a real-world Software Development Engineer (SDE) interview assignment.</p><p>This course is perfect for aspiring software developers, data analysts, and tech enthusiasts keen on practical applications of algorithms and data structures. By the end, you will master essential skills such as algorithm optimization, performance benchmarking, and system design.</p><p>Join us and transform your coding abilities! By the end of this course, not only will you have built a functional ride dispatch engine, but you’ll also possess the expertise and confidence to tackle real-world software challenges. Enroll today and accelerate your career in tech with this exciting project-based learning experience!</p>

Tools: python, fastapi, sqlite, DSA