Parallel computing is now an essential paradigm for high performance scientific computing. Most existing hardware and software solutions are expensive or difficult to use. We developed Playdoh, a Python library
Python library for computing Finite-Amplitude Local Wave Activity Diagnostics from climate data. - csyhuang/hn2016_falwa
Python has a large, diverse open-source development community and comprehensive scientific computing libraries for building robust and reproducible computational workflows. GOATOOLS allows GO term manipulation, GOEA testing, and custom ontology visualization in gene functional studies. We describe the GOATOOLS...
This paper describes PyOphidia, an open-source Python module for High Performance Data Analytics on multi-dimensional scientific datasets. PyOphidia aims to simplify the execution of parallel data analysis over scientific datacubes on High Performance Computing infrastructures. It can be easily integrated...
MAINT: bump min NumPy to 1.25.2, min Python to 3.11 (#22012) Feb 7, 2025 environment.yml MAINT: refresh gpu-ci pixi.lock May 8, 2025 meson.build MAINT: vendor qhull as subproject and add-Duse-system-libraries(#… May 16, 2025 ...
On the other hand, there are currently no available package for screening endogenous reference genes in Python. In order to solve these problems, a new approach is proposed by analyzing the principle of the internal reference method. Using the computational power of the Pandas library in Python,...
Biotite is a program library for sequence and structural bioinformatics written for the Python programming language. It implements widely used computational methods into a consistent and accessible package. This allows for easy combination of various dat
This paper describes the autofeat Python library, which provides a scikit-learn style linear regression model with automated feature engineering and selection capabilities. Complex non-linear machine learning models such as neural networks are in practic
Problems in scientific computing often consist of a workload of jobs with dependencies between them. Batch schedulers are job-oriented, and are not well-suited to executing these workloads with complex dependencies.;We evaluate Jole using GAFolder, a protein structure prediction tool. We show that...
SciPy 1.0: fundamental algorithms for scientific computing in Python Nature Methods, 17 (3) (2020), pp. 261-272 CrossrefView in ScopusGoogle Scholar [42] Cohen S. Artificial intelligence and deep learning in pathology Elsevier (2020) Google Scholar [43] Clark A. Pillow (PIL fork) documentati...