We use Jwalk often to study protein crosslinks but have found it cumbersome to switch python versions halfway through our process because of Jwalk. Jwalk is currently using python 2 which has lost LTS ...

Parallelization is a powerful technique to speed up computations by distributing tasks across multiple CPU cores or threads. This project evaluates the performance of four popular Python ...

Parallelization in Python integrates Message Passing Interface via the mpi4py module. Since mpi4py does not support parallelization of objects greater than 2 31 bytes, we developed BigMPI4py, a Python ...

Python is convenient because it is easy to program and has a rich library, but its only weak point is that execution is very slow outside of compiled libraries like Numpy. So, I will measure the ...

Abstract: Processing of large quantitities of data from bioinformatics domain pose significant challenge for contemporary computing systems. For that reason, it is important to employ all hardware ...

Abstract: Pydron, a system that bridges the gap between interactive data analysis and scalable computing, enables astronomers to process large datasets with Python without the complexities of managing ...