Results 41 to 50 of about 338,585 (297)
Probabilistic programming in Python using PyMC3 [PDF]
PeerJ Computer Science, 2016 Probabilistic programming allows for automatic Bayesian inference on user-defined probabilistic models. Recent advances in Markov chain Monte Carlo (MCMC) sampling allow inference on increasingly complex models.
John Salvatier +2 more
doaj +2 more sources
ESPECTRO ELETRÔNICO DA MOLÉCULA I2: UMA BREVE INTRODUÇÃO À PROGRAMAÇÃO CIENTÍFICA
Química Nova, 2016 This study proposes an activity to introduce scientific programming. In particular, the multidisciplinary concepts of scientific programming, quantum mechanics, and spectroscopy are presented in the study of the electronic spectrum of the I2 molecule. We
Antonio G. Sampaio de Oliveira Filho +1 more
doaj +1 more source
Comparative evaluation of performance-boosting tools for Python [PDF]
, 2011 The Python programming language has a number of advantages, such as simple and clear syntax, concise and readable code, and open source implementation with a lot of extensions available, that makes it a great tool for teaching programming to students ...
Swacha, Jakub
core +2 more sources
Python Type Hints are Turing Complete [PDF]
arXiv, 2022 Grigore showed that Java generics are Turing complete by describing a reduction from Turing machines to Java subtyping. We apply Grigore's algorithm to Python type hints and deduce that they are Turing complete. In addition, we present an alternative reduction in which the Turing machines are simulated in real time, resulting in significantly lower ...
arxiv
Type inference for Python programming language
Proceedings of the Institute for System Programming of RAS, 2013 The article presents type inference for programs written in Python programming language. At first, type inference algorithms for parametric polymorphism that were described in the scientific literature are reviewed. The algorithms evolved from “basic” algorithm (also known as Palsberg — Schwartzbach algorithm) to Cartesian product algorithm (CPA).
openaire +4 more sources
Python-based constraint language for architecture models
Труды Института системного программирования РАН, 2018 The paper presents an approach to specify constraints on AADL models in Python-based language and a toolset allowing to verify that constraints. The goal of the approach is to enable reusing of existing rich facilities of Python language, tools, and ...
E. . Kornykhin, A. . Khoroshilov
doaj +1 more source
Penguatan Pembekalan Kemampuan Pemrograman Dasar bagi Pelajar Sekolah Menengah Umum
Warta LPM, 2023 Basic programming training that teaches problem-solving logic has developed at all ages, from kindergarten, elementary school to higher education age. This happens because at this time, the concept of computing or informatics thinking has been considered
Susana Limanto +4 more
doaj +1 more source
Dose rate correction of a diode array for universal wedge field dosimetric verification
Journal of Applied Clinical Medical Physics, EarlyView.Abstract Purpose To study the performance of MapCHECK 3 (MC3) in measuring universal wedge fields and propose a dose rate correction strategy to improve MC3 measurement accuracy. Materials and methods Universal wedge fields with different wedge angles and field sizes were measured at different depths using MC3.
Linyi Shen +6 more
wiley +1 more source
An Analysis of Python's Topics, Trends, and Technologies Through Mining Stack Overflow Discussions [PDF]
arXiv, 2020 Python is a popular, widely used, and general-purpose programming language. In spite of its ever-growing community, researchers have not performed much analysis on Python's topics, trends, and technologies which provides insights for developers about Python community trends and main issues.
arxiv
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 +1 more source