Concurrent and Parallel Programming in Python
Duration: 6h 8m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 1.05 GB
Genre: eLearning | Language: English
In a big data project, a plethora of information is retrieved, big numbers are crunched on our machine, or both. If the coding is sequential or synchronous, our application will struggle to execute. Two mechanisms to alleviate such bottlenecks are concurrency and parallelism. In Python, concurrency is represented by threading, whereas multiprocessing achieves parallelism.