Results 31 to 40 of about 536,792 (311)

Password Manager using Python Programming Language

, 2023
A password manager is a software application that is used to store and manage the passwords that a user has for various online accounts and security features. Password managers store the passwords in an encrypted format and provide secure access to all the password information with the help of a master password.
Nandakishore, Avinash, Ansh Shah, Hrishikesh Gosavi, Shubham Dandekar, Salvi, Manish   +4 more
openaire   +2 more sources

Use of Python programming language in astronomy and science [PDF]

Journal of Computational Interdisciplinary Sciences, 2012
The use of Python is noticeably growing among the scientific community, and Astronomy is not an exception. The power of Python consists of being an extremely versatile high-level language, easy to program that combines both traditional programming and data reduction and analysis tools.
openaire   +4 more sources

Object-oriented implementations of the MPDATA advection equation solver in C++, Python and Fortran

, 2013
Three object-oriented implementations of a prototype solver of the advection equation are introduced. The presented programs are based on Blitz++ (C++), NumPy (Python), and Fortran's built-in array containers. The solvers include an implementation of the
Arabas, Sylwester, Fijałkowski, Maciej, Jarecka, Dorota, Jaruga, Anna   +3 more
core   +2 more sources

Performance and productivity of parallel python programming: a study with a CFD test case [PDF]

, 2015
The programming language Python is widely used to create rapidly compact software. However, compared to low-level programming languages like C or Fortran low performance is preventing its use for HPC applications.
Basermann, Achim, Illmer, Joachim, Röhrig-Zöllner, Melven   +2 more
core   +1 more source

PYTHON PROGRAMMING LANGUAGE IN INFORMATICS IS CURRENT

, 2023
The article briefly discusses the history of the origin of Python, the most developing department of computer science, and the features of its capabilities.
openaire   +2 more sources

SciPy 1.0: fundamental algorithms for scientific computing in Python

Nature Methods, 2019
SciPy is an open-source scientific computing library for the Python programming language. Since its initial release in 2001, SciPy has become a de facto standard for leveraging scientific algorithms in Python, with over 600 unique code contributors ...
Pauli Virtanen, R. Gommers, T. Oliphant, Matt Haberland, Tyler Reddy, D. Cournapeau, Evgeni Burovski, Pearu Peterson, Warren Weckesser, Jonathan Bright, S. J. van der Walt, M. Brett, Joshua Wilson, K. Millman, N. Mayorov, Andrew R. J. Nelson, E. Jones, Robert Kern, Eric Larson, C. Carey, İlhan Polat, Yu Feng, Eric W. Moore, J. Vanderplas, D. Laxalde, Josef Perktold, R. Cimrman, Ian Henriksen, E. Quintero, Charles R. Harris, A. Archibald, Antônio H. Ribeiro, Fabian Pedregosa, P. van Mulbregt, Aditya Alessandro Pietro Alex Andreas Andreas Anthony Ant Vijaykumar Bardelli Rothberg Hilboll Kloeckner Sco, A. Vijaykumar, Alessandro Pietro Bardelli, Alex Rothberg, A. Hilboll, Andre Kloeckner, A. Scopatz, Antony Lee, Ariel S. Rokem, C. N. Woods, Chad Fulton, Charles Masson, C. Häggström, Clark Fitzgerald, D. Nicholson, David R. Hagen, D. Pasechnik, E. Olivetti, Eric Martin, Eric Wieser, Fabrice Silva, F. Lenders, Florian Wilhelm, G. Young, Gavin A. Price, G. Ingold, Gregory E. Allen, Gregory R. Lee, H. Audren, I. Probst, J. Dietrich, J. Silterra, James T. Webber, J. Slavič, J. Nothman, J. Buchner, Johannes Kulick, Johannes L. Schönberger, J. V. De Miranda Cardoso, J. Reimer, J. Harrington, Juan Rodríguez, Juan Nunez-Iglesias, Justin Kuczynski, K. Tritz, M. Thoma, M. Newville, Matthias Kümmerer, Maximilian Bolingbroke, Michael Tartre, M. Pak, Nathaniel J. Smith, N. Nowaczyk, Nikolay Shebanov, O. Pavlyk, P. A. Brodtkorb, Perry Lee, R. McGibbon, Roman Feldbauer, Sam Lewis, S. Tygier, Scott Sievert, S. Vigna, Stefan Peterson, S. More, Tadeusz Pudlik, T. Oshima, T. Pingel, T. Robitaille, Thomas Spura, T. Jones, T. Cera, Tim Leslie, Tiziano Zito, Tom Krauss, U. Upadhyay, Y. Halchenko, Y. Vázquez-Baeza   +111 more
semanticscholar   +1 more source

Comparative analysis of development environments on Python language [PDF]

, 2018
The aim of the study is to analysis a system requirements integrated development environments on Python language. The objectives of research are to analysis the system requirements and functionality of programming environments for the Python language ...
Базурін, В.М., Ковтун, А.В., Омелечко, Є.А.   +2 more
core  

Simplifying Parallelization of Scientific Codes by a Function-Centric Approach in Python

, 2010
The purpose of this paper is to show how existing scientific software can be parallelized using a separate thin layer of Python code where all parallel communication is implemented.
Cai, Xing, Hoyland, Bjorn, Langtangen, Hans Petter, Nilsen, Jon K.   +3 more
core   +1 more source

Teaching Python with team‐based learning: using cloud‐based notebooks for interactive coding education

FEBS Open Bio, EarlyView.
This study presents a novel approach to teaching Python and bioinformatics using team‐based learning and cloud‐hosted notebooks. By integrating interactive coding into biomedical education, the method improves accessibility, student engagement, and confidence—especially for those without a computing background.
Nuno S. Osório, Leonardo D. Garma
wiley   +1 more source

Transcriptional regulation of neuropeptide receptors underlies context‐dependent adaptation in Drosophila melanogaster

FEBS Open Bio, EarlyView.
Under environmental changes, the expression level of neuropeptide (NP) and neuropeptide receptor (NPR) genes changes to confer context‐dependent adaptation to the model organism Drosophila melanogaster. Through finding more regulatory elements in the NPR genes in comparison with their ligands (NPs), we found that NPR‐biased transcriptional regulation ...
SeungHeui Ryu, Yanan Wei, Zekun Wu, Tianmu Zhang, DoHoon Lee, Hadi Najafi, Woo Jae Kim   +6 more
wiley   +1 more source