Vyzkoušejte nový nástroj s podporou AI
Summon Research Assistant
BETA
SciPy 1.0: fundamental algorithms for scientific computing in Python
Virtanen, Pauli, Gommers, Ralf, Oliphant, Travis E., Haberland, Matt, Reddy, Tyler, Cournapeau, David, Burovski, Evgeni, Peterson, Pearu, Weckesser, Warren, Bright, Jonathan, van der Walt, Stéfan J., Brett, Matthew, Wilson, Joshua, Millman, K. Jarrod, Mayorov, Nikolay, Nelson, Andrew R. J., Jones, Eric, Kern, Robert, Larson, Eric, Carey, C J, Polat, İlhan, Feng, Yu, Moore, Eric W., VanderPlas, Jake, Laxalde, Denis, Perktold, Josef, Cimrman, Robert, Henriksen, Ian, Quintero, E. A., Harris, Charles R., Archibald, Anne M., Ribeiro, Antônio H., Pedregosa, Fabian, van Mulbregt, Paul
Published in Nature methods (01.03.2020)
Published in Nature methods (01.03.2020)
Get full text
Journal Article
A framework to create customised LHC analyses within CheckMATE
Kim, Jong Soo, Schmeier, Daniel, Tattersall, Jamie, Rolbiecki, Krzysztof
Published in Computer physics communications (01.11.2015)
Published in Computer physics communications (01.11.2015)
Get full text
Journal Article
Portable BLAST-like algorithm library and its implementations for command line, Python, and R
Schmid, Steven, Jeevannavar, Aditya, Julian, Timothy R., Tamminen, Manu
Published in PloS one (30.11.2023)
Published in PloS one (30.11.2023)
Get full text
Journal Article
PyUNIxMD: A Python‐based excited state molecular dynamics package
Lee, In Seong, Ha, Jong‐Kwon, Han, Daeho, Kim, Tae In, Moon, Sung Wook, Min, Seung Kyu
Published in Journal of computational chemistry (15.09.2021)
Published in Journal of computational chemistry (15.09.2021)
Get full text
Journal Article
PyImageJ: A library for integrating ImageJ and Python
Rueden, Curtis T., Hiner, Mark C., Evans, Edward L., Pinkert, Michael A., Lucas, Alice M., Carpenter, Anne E., Cimini, Beth A., Eliceiri, Kevin W.
Published in Nature methods (01.11.2022)
Published in Nature methods (01.11.2022)
Get full text
Journal Article
Procrustes: A python library to find transformations that maximize the similarity between matrices
Meng, Fanwang, Richer, Michael, Tehrani, Alireza, La, Jonathan, Kim, Taewon David, Ayers, Paul W., Heidar-Zadeh, Farnaz
Published in Computer physics communications (01.07.2022)
Published in Computer physics communications (01.07.2022)
Get full text
Journal Article