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 ...

So, I have this little web application I've written in Django. The final step in it's functionality is talking to a REST API, the service on the other side does all of the heavy lifting. Each call ...

The best parallel processing libraries for Python. Ray: Parallelizes and distributes AI and machine learning workloads across CPUs, machines, and GPUs.

For speeding specific activities, specialized parallel computer architectures are sometimes employed alongside regular CPUs. Need of Dask. Numpy, pandas, sklearn, seaborn, and other Python libraries ...

Pierre Glaser from INRIA gave this talk at EuroPython 2019. "Modern hardware is multi-core. It is crucial for Python to provide high-performance parallelism. This talk will expose to both ...