How to Choose the Right API for Handling Concurrent Operations in Python?

In the article "Python Concurrency: Choose the Right API," the author discusses the importance of concurrency in Python programming, particularly in the context of choosing the right API to manage concurrency. The sources of concurrency in Python can be understood through various approaches offered by the language, such as threads, processes, and asyncio. The author highlights the differences between these methods, emphasizing that the choice largely depends on the application's specifics and its performance and simplicity requirements. For example, the article explains how `asyncio` excels in high-performance internal applications, while multithreading may be a better fit for applications that need to communicate with external systems. Furthermore, the article indicates that the choice between threads and processes should be made carefully to avoid issues with synchronization and memory management, which can lead to challenging-to-solve bugs. Finally, the author underscores that each concurrency model has its pros and cons, so it is important to consider the project's specifics to select the most suitable solution.