PYTHON IN ORDINARY DIFFERENTIAL EQUATIONS LEARNING by Sigit Sugiarto, John Nandito Lekitoo, Ratnah Kurniati MA

“…The Python programming language can be used to solve differential equation problems symbolically easily, quickly, and accurately. …”
Get full text

Into Africa: The biogeography of the genus Python in Africa by Krystal A. Tolley, Graham J. Alexander

“…There is a large distribution gap for Python between Africa and south-east Asia, but fossil evidence suggests Python once occurred in this gap, as well as in Europe until the mid-Miocene. …”
Get full text

Animal-appropriate housing of ball pythons (Python regius)-Behavior-based evaluation of two types of housing systems. by Tina Hollandt, Markus Baur, Anna-Caroline Wöhr

“…Considering animal welfare, animals should be kept in animal-appropriate and stress-free housing conditions in all circumstances. To assure such conditions, not only basic needs must be met, but also possibilities must be provided that allow animals in captive care to express all species-typical behaviors. …”
Get full text

An Extendable Python Implementation of Robust Optimization Monte Carlo by Vasilis Gkolemis, Michael Gutmann, Henri Pesonen

“…In this paper, we present the implementation of the LFI method robust optimization Monte Carlo (ROMC) in the Python package elfi. ROMC is a novel and efficient (highly-parallelizable) LFI framework that provides accurate weighted samples from the posterior. …”
Get full text

Mastering data visualization with Python: practical tips for researchers by Soyul Han, Il-Youp Kwak

“…Big data have revolutionized the way data are processed and used across all fields. In the past, research was primarily conducted with a focus on hypothesis confirmation using sample data. …”
Get full text

A Python toolbox for neural circuit parameter inference by Alejandro Orozco Valero, Víctor Rodríguez-González, Noemi Montobbio, Miguel A. Casal, Alejandro Tlaie, Francisco Pelayo, Christian Morillas, Jesús Poza, Carlos Gómez, Pablo Martínez-Cañada

“…We present ncpi, an open-source Python toolbox that serves as an all-in-one solution, effectively integrating well-established methods for both forward and inverse modeling of extracellular signals based on single-neuron network model simulations. …”
Get full text

SeisAug: A data augmentation python toolkit by D. Pragnath, G. Srijayanthi, Santosh Kumar, Sumer Chopra

“…A common limitation in applying any deep learning and machine learning techniques is the limited labelled dataset which can be addressed through Data augmentation (DA). SeisAug is a DA python toolkit to address this challenge in seismological studies. …”
Get full text

Antibacterial Activity of Some Essential Oils/Herbal Extracts Against Bacteria Isolated from Ball Pythons (<i>Python regius</i>) with Respiratory Infections by Corina Pascu, Viorel Herman, Luminita Costinar, Corina Badea, Valentin Gros, Georgeta Stefan

“…GSE showed antibacterial activity against all isolates. Conclusions: Wanting to deepen our understanding of the microorganisms that can infect ball pythons and recognizing that all isolated bacteria have zoonotic potential, this paper highlights some common issues faced by exotic animal owners and suggests that treatments should also include the use of essential oils.…”
Get full text

OGRePy: An Object-Oriented General Relativity Package for Python by Barak Shoshany

“…OGRePy is a modern, open-source Python package designed to perform symbolic tensor calculations, with a particular focus on applications in general relativity. …”
Get full text

How to Interpret Statistical Models Using marginaleffects for R and Python by Vincent Arel-Bundock, Noah Greifer, Andrew Heiss

“…We introduce marginaleffects, a package for R and Python which offers a simple and powerful interface to compute all of those quantities, and to conduct (non-)linear hypothesis and equivalence tests on them. marginaleffects is lightweight; extensible; it works well in combination with other R and Python packages; and it supports over 100 classes of models, including linear, generalized linear, generalized additive, mixed effects, Bayesian, and several machine learning models. …”
Get full text

The Two Powers: How Pascal and Python Shaped Programming Education by Tobias Kohn, Jacqueline Staub

“…In this article we therefore consider the similarities and differences between Pascal and Python with emphasis on an educational perspective. …”
Get full text

Use Python Data Analysis to Gain Insights from Airbnb Hosts by Zichun Tian

“…By learning and emulating these patterns, many hosts may be able to increase the popularity of their properties. By using Python to analyse all data from all aspects of Airbnb listings, the author proposes to test and find correlations between certain variables and popular listings. …”
Get full text

CONSTRUCT THE TRIPLE ZERO GRAPH OF RING Z_n USING PYTHON by Putri Wulandari, Vika Yugi Kurniawan, Nughthoh Arfawi Kurdhi

“…Python is a programming language with simple and easy-to-learn code that can be used to solve problems in algebra and graphs. …”
Get full text

Using statistical analysis to evaluate enterprise performance in the Python programming environment by O. G. Konyukova, F. F. Baratova

“…The following describes statistical indexes on visually programmed graphs; all data are entered into the Python web development environment using an auxiliary package of tables made in MS Excel. …”
Get full text

RosenPy: An open source Python framework for complex-valued neural networks by Ariadne A. Cruz, Kayol S. Mayer, Dalton S. Arantes

“…Deep learning is an essential artificial intelligence tool broadly used in engineering, physics, data science, biology, healthcare, agribusiness, finance, and many other areas. Current Python frameworks for deep learning, such as TensorFlow, Keras, PyTorch, and scikit-learn, only solve real-domain problems, representing a considerable part of real-world applications but not all. …”
Get full text

pyAudioAnalysis: An Open-Source Python Library for Audio Signal Analysis. by Theodoros Giannakopoulos

“…The feedback provided from all these particular audio applications has led to practical enhancement of the library.…”
Get full text

Evaluation of Generative AI Models in Python Code Generation: A Comparative Study by Dominik Palla, Antonin Slaby

“…This study evaluates leading generative AI models for Python code generation. Evaluation criteria include syntax accuracy, response time, completeness, reliability, and cost. …”
Get full text

PANCAKE: A Python-based Numerical Color–Magnitude Diagram Analysis Package by Yun Zheng, Yujiao Yang, Yong-Kun Zhang, Zheng Zheng, Jing Wang, Lister Staveley-Smith, Chao-Wei Tsai, Di Li, Chao Liu, Jingjing Hu, Huaxi Chen, Donghui Quan, Yinghui Zheng, Hangyuan Li

Get full text

MagPySV: A Python Package for Processing and Denoising Geomagnetic Observatory Data by G. A. Cox, W. J. Brown, L. Billingham, R. Holme

“…This method creates a single covariance matrix for all observatories of interest combined and applies the denoising to all locations simultaneously, resulting in cleaner time series of the internally generated SV. …”
Get full text

WMSAN Python Package: From Oceanic Forcing to Synthetic Cross-correlations of Microseismic Noise by Lisa Tomasetto, Pierre Boué, Fabrice Ardhuin, Éléonore Stutzmann, Zongbo Xu, Raphaël De Plaen, Laurent Stehly

“…Seismic noise records are used in a wide range of applications including crustal monitoring, imaging of the Earth's deep interior using noise correlations, and studies on the coupling between oceans and solid Earth. All of these applications could benefit from a robust knowledge of spatiotemporal dynamics of microseismic sources. …”
Get full text