Is there a simple process-based parallel map for python?
I’m looking for a simple process-based parallel map for python, that is, a function
parallel-processing
Using the multiprocessing module for cluster computing
I’m interested in running a Python program using a computer cluster. I have in the past been using Python MPI interfaces, but due to difficulties in compiling/installing these, I would prefer solutions which use built-in modules, such as Python’s multiprocessing module.
How to iterate over consecutive chunks of Pandas dataframe efficiently
I have a large dataframe (several million rows).
Parallel Processing in python
Whats a simple code that does parallel processing in python 2.7? All the examples Ive found online are convoluted and include unnecessary codes.
Chunking data from a large file for multiprocessing?
I’m trying to a parallelize an application using multiprocessing which takes in
a very large csv file (64MB to 500MB), does some work line by line, and then outputs a small, fixed size
file.
OpenMP and Python
I have experience in coding OpenMP for Shared Memory machines (in both C and FORTRAN) to carry out simple tasks like matrix addition, multiplication etc. (Just to see how it competes with LAPACK). I know OpenMP enough to carry out simple tasks without the need to look at documentation.