Complex Eigenvalues, Orthogonality, and QR Factorization: Analytical Proofs and Numerical Verification by Umar Tabbsum (22058780)

“…The work includes both analytical proofs and numerical verification to ensure reproducibility and clarity.…”

SciPy2024: Facilitating scientific investigations from long-tail data with Python by Deborah Khider (4673140)

Project Pythia: An education and training hub for the geoscientific Python community by john clyne (10964607)

Analysis of network performance when confirmed traffic is present in Long Range Wide Area Networks (LoRaWANs) by Jaco Marais (14636834)

Python Workflow for High-Fidelity Modeling of Overland Hydrocarbon Flows with GeoClaw and Cloud Computing by Pi-Yueh Chuang (4032893)

“…<b>Poster presented at the <a href="https://www.scipy2019.scipy.org/">SciPy 2019</a> Conference, Austin, TX</b><div><br></div><div><a href="https://www.scipy2019.scipy.org/talks-posters/Python-Workflow-for-High-Fidelity-Modeling-of-Overland-Hydrocarbon-Flows-with-GeoClaw-and-Cloud-Computing">Abstract</a></div><div><br></div><div>We expanded GeoClaw, a shallow-water solver, for computing overland hydrocarbon flows, and developed a Python workflow for risk analysis of pipeline ruptures on Microsoft Azure cloud resources. …”

Supplementary material for "Full vector inversion of magnetic microscopy images using Euler deconvolution as prior information" by Gelson F. Souza-Junior (17960066)

“…<h2>About</h2><p dir="ltr">This archive includes the materials for reproducing the results presented in the paper <i>"Full vector inversion of magnetic microscopy images using Euler deconvolution as prior information"</i>, including Python and LaTeX source code, figures, illustrations, data, and reproducibility instructions.…”

Axisymmetric simulation of circular concrete-filled double-skin steel tubular short columns incorporating outer stainless-steel tube by Tuan Trung Le (9075169)

Supplementary material for "Gradient-boosted equivalent sources" by Santiago Rubén Soler (6476147)

Practical rules for summing the series of the Tweedie probability density function with high-precision arithmetic by NELSON L. DIAS (8078003)

“…With these practical rules, simple summation algorithms provide sufficiently robust results for the calculation of the density function and its definite integrals. These implementations need to utilize high-precision arithmetic, and are programmed in the Python programming language. …”

Talk: Describe data by scripts for future reuse by Petr Čermák (3800761)

Project Pythia: A community learning resource for geoscientists by john clyne (10964607)

Geospatial analysis and visualization with PyGMT (SciPy 2022) by Max Jones (13243176)

“…</p> <p>We will highlight opportunities to help guide PyGMT development, in particular the adoption of more Pythonic syntax for GMT arguments. While the developers and community have long-discussed the issue of terse, cryptic GMT arguments, recent PyOpenSci reviews highlighted the need to focus developer efforts on these user experience components. …”

LucasX genome. by Vinícius Marquioni (12418641)

Heatmap analysis of the protein clustering for LucasX and the 58 closest phages performed by vContact2. by Vinícius Marquioni (12418641)

Advancing Atmospheric Science Education: Customized PyAOS JupyterHubs via the Unidata Science Gateway by Julien Chastang (640650)

“…</p><p dir="ltr">Beginning in 2018, through the Unidata Science Gateway, Unidata has facilitated specialized "Python for Atmosphere and Ocean Science" (PyAOS) JupyterHub environments for semester-long courses and workshops, aligning with educators' instructional requirements. …”

S1 Data - by Xinfu Pang (16713651)

“…Finally, by taking the daily load data of Quanzhou City, Zhejiang Province as an example, the program of the abovementioned method is compiled in Python language and then compared with the long short-term memory neural network algorithm and the single-SCNs algorithm. …”

Basic flowchart of SCNs. by Xinfu Pang (16713651)

“…Finally, by taking the daily load data of Quanzhou City, Zhejiang Province as an example, the program of the abovementioned method is compiled in Python language and then compared with the long short-term memory neural network algorithm and the single-SCNs algorithm. …”

Basic flowchart of Bagging. by Xinfu Pang (16713651)

“…Finally, by taking the daily load data of Quanzhou City, Zhejiang Province as an example, the program of the abovementioned method is compiled in Python language and then compared with the long short-term memory neural network algorithm and the single-SCNs algorithm. …”

Time-dependent change of average temperature. by Xinfu Pang (16713651)

“…Finally, by taking the daily load data of Quanzhou City, Zhejiang Province as an example, the program of the abovementioned method is compiled in Python language and then compared with the long short-term memory neural network algorithm and the single-SCNs algorithm. …”

Time-dependent change of average load. by Xinfu Pang (16713651)

“…Finally, by taking the daily load data of Quanzhou City, Zhejiang Province as an example, the program of the abovementioned method is compiled in Python language and then compared with the long short-term memory neural network algorithm and the single-SCNs algorithm. …”