Python code for calculating diversity measures and correlations. by Niloufar Abhari (20384374)

<b>Opti2Phase</b>: Python scripts for two-stage focal reducer by Morgan Najera (21540776)

“…<p dir="ltr"><b>Opti2Phase: Python Scripts for Two-Stage Focal Reducer Design</b></p><p dir="ltr">The folder <b>Opti2Phase</b> contains the Python scripts used to generate the results presented in the manuscript. …”

A detailed graphical presentation of the fixation technique of different implants, regions of interest, and bone health. by Hassan Mehboob (8960273)

Example Report for FC_Class 2.txt. by Pradip Kumar Singh (20875050)

Data Bloom 2024: Visualize with Python by Vansh Desai (20309584)

Using Docker images to promote cross-language (Python, R) collaboration across diverse user platforms for cloud computing by Elizabeth Holmes (16706432)

Is your Open Source Research Community implementing the Diversity Equity and Inclusion (DEI) equivalent of Python 2.6? by Rowland Mosbergen (7533140)

“…</p><p dir="ltr">However many DEI strategies fail because they think they are implementing the DEI equivalent of Python 3.13 when they are actually implementing the DEI equivalent of Python 2.6.…”

Photoelectron Metrology (LBNL Oct 2024) by Paul Hockett (100955)

“…New results will be presented, including valence photoionization studies of OCS [2] and N2O. …”

Overview of the MD datasets used in S2 Fig. by Guillermo Pérez-Hernández (21156182)

Tree file outputs from the phylogenetic analyses of the genus Python by Krystal Tolley (9093161)

“…In addition, fossil evidence was appraised as supporting evidence for distribution but also to evaluate the hypothesis that large pythons (e.g., <u>></u> 6 m in body length) are restricted to warmer climatic zones, and this would be likely to influence their historical and present-day distributions. …”

DynamiSpectra: A Python Software Package and Web Platform for Molecular Dynamics Data Analysis in Computational Biology by Iverson Conrado Bezerra (19555596)

“…Molecular dynamics (MD) simulations generate extensive data sets that demand reliable and reproducible analysis tools. In this study, we present DynamiSpectra, a Python-based software package and web platform designed to automate the descriptive statistical analysis (mean and standard deviation) and visualization of MD trajectories. …”

DynamiSpectra: A Python Software Package and Web Platform for Molecular Dynamics Data Analysis in Computational Biology by Iverson Conrado Bezerra (19555596)

“…Molecular dynamics (MD) simulations generate extensive data sets that demand reliable and reproducible analysis tools. In this study, we present DynamiSpectra, a Python-based software package and web platform designed to automate the descriptive statistical analysis (mean and standard deviation) and visualization of MD trajectories. …”

Complete text output printed to the terminal by the CLT (shown in Fig 2A) of the main text. by Guillermo Pérez-Hernández (21156182)

Python code for a stratified random sampling of circular economy indicators by Zahir Barahmand (18008947)

“…<p dir="ltr">This Python script performs stratified random sampling of 2,713 Circular Economy (CE) indicators based on their SDG classification for expert reviews. …”

PythonForRoyalSociety.py from The formation energy of triple lines by Paul Twine (22587761)

2D Orthogonal Planes Split: <b>Python</b> and <b>MATLAB</b> code | <b>Source Images</b> for Figures by Nektarios Valous (20715650)

“…<p dir="ltr">Python scripts, Jupyter notebooks, and MATLAB code demonstrate functionalities such as re-colorization, de-colorization, contrast enhancement, re-staining, and stain separation on test images using the 2D orthogonal planes split. …”

Expanding Access to Advanced Scientific Workflows: The NSF Unidata Science Gateway Leverages Innovative Capabilities of the NSF Jetstream2 Cloud for Atmospheric Science Education by Julien Chastang (640650)

“…</p><p><br></p><p dir="ltr">This presentation will highlight two case studies that demonstrate the practical applications of our advanced computational tools. …”

A free tutorial book from NSF Cybertraining C2D: Cybertraining for Chemical Data scientists by Xiangliang Zhang (19460047)

“…It offers step-by-step tutorials and real-world applications to tackle complex chemical problems, and focuses on practical applications, enabling chemists to harness data science techniques for solving real-world chemical problems. In Chapter 2, we guide chemists through setting up a Python environment tailored for data science applications in chemistry. …”

Illustration of PyNoetic’s 2D and 3D simulation module with visual feedback. by Gursimran Singh (575288)

Integrating Scientific GUI Applications into Autoscaled Science Gateway Environments by Julien Chastang (640650)