Downloading a Billion Files in Python

This course teaches learners how to concurrently download a large number of files using Python. The learning outcomes include understanding the tradeoffs between multithreading, multiprocessing, and asyncio for downloading files, as well as gaining insights into design best practices, debugging, error handling, and performance optimization. The course covers topics such as network latency, file size, API usage, and various coding techniques for efficient file downloading. The intended audience for this course is Python developers interested in optimizing file download processes.