Multiprocessing enables the computer to utilize multiple cores of a CPU to run tasks/processes in parallel. This parallelization leads to significant speedup in tasks that involve a lot of computation ...

Community driven content discussing all aspects of software development from DevOps to design patterns. Python is a highly concise and expressive language that enables developers to accomplish complex ...

processeddata --> contains 15 folders each with 2 files named affected and unaffected area tweets. wordpairs.csv --> word pairs formed from the tweet data contained in processed data folder.

Learn how to use Python’s async functions, threads, and multiprocessing capabilities to juggle tasks and improve the responsiveness of your applications. If you program in Python, you have most likely ...

Multitasking: division of the execution time of processes. This taks is performed by the kernel of the operating system (scheduler). Multithreading: task division inside the same process. Example: ...

Python's "multiprocessing" module feels like threads, but actually launches processes. Many people, when they start to work with Python, are excited to hear that the language supports threading. And, ...