Python code. by Ryo Iwasaki (14210016)

The Python code simulating the results presented in this study. by Amir Reza Alizad-Rahvar (5993201)

Python codes and simulation results. by Wanchalerm Pora (8360934)

Python source code of the framework. by Tomasz Gutowski (17200042)

Inference notebook: HTML printout of the Python code to do inference with the model. by Gerard Schouten (19565731)

Python script of the PREDICATE tool written in a Jupyter Notebook format. by Nantia Leonidou (14833068)

Train & test notebook: HTML printout of the Python code to train and test the model. by Gerard Schouten (19565731)

Data_Sheet_1_An Open-Source Tool for Anisotropic Radiation Therapy Planning in Neuro-oncology Using DW-MRI Tractography.pdf by Kesshi Jordan (7329089)

“…We present an open-source WMPL tool, implemented in the package Diffusion Imaging in Python (DIPY), and code to convert the resulting WMPL map to anisotropic contours for RT in a commercial treatment planning system. …”

Code by Pritha Sarkar (18584965)

“…<p dir="ltr">The code scripts are written in Python and deploys DRI's models(made with spaCy) - Conflict of Interest Statement and Conflict of Interest Types - to acquire the objectives mentioned in the conference poster. …”

Poster: PyGMT: Accessing the Generic Mapping Tools from Python by Leonardo Uieda (97471)

“…<p>Poster presented at the AGU 2019 Fall Meeting.</p><h2>Abstract</h2> <p>For almost 30 years, the Generic Mapping Tools (GMT) have provided the Earth, Ocean, and Planetary Sciences with an open-source toolbox for processing and visualizing spatial data (bathymetry, gravity, magnetic, earthquake focal mechanisms, and more). …”

PyRates—A Python framework for rate-based neural simulations by Richard Gast (8129451)

“…In this work, we present PyRates, a Python framework that provides the means to build a large variety of rate-based neural models. …”

Resolving Harvesting Errors in Institutional Repository Migration : Using Python Scripts with VS Code and LLM Integration. by satoshi hashimoto(橋本 郷史) (18851272)

“…Therefore, we decided to create a dedicated Python program using Large Language Model (LLM)-assisted coding.…”

Source Code for the Hierarchical Key Assignment Scheme (HKAS) by Baris Celiktas (22804778)

WEDAP: A Python Package for Streamlined Plotting of Molecular Simulation Data by Darian T. Yang (12321348)

“…Here, we present the WEDAP Python package for simplifying the analysis of data generated from either conventional MD simulations or the weighted ensemble (WE) path sampling method, as implemented in the widely used WESTPA software package. …”

Models. by Bjørn André Bredesen-Aa (13767126)

Subjects:

Invert4Geom; Progress towards an open-source geometric gravity inversion with stochastic uncertainty analysis by Matt Tankersley (11769215)

“…Here, we present a preliminary inversion algorithm written in Python to perform these geometric style of gravity inversions. …”

NLoed: A Python Package for Nonlinear Optimal Experimental Design in Systems Biology by Nathan Braniff (14149834)

“…To support OED investigations, the NLoed package implements maximum likelihood fitting and diagnostic tools, providing a comprehensive modeling workflow. …”

Table_2_XCast: A python climate forecasting toolkit.docx by Kyle Joseph Chen Hall (13049001)

“…Heavy data preprocessing is needed: gridded data must be aggregated, reshaped, or reduced in dimensionality in order to fit the strict formatting requirements of Python's data science tools. Efficiently implementing this gridpoint-wise workflow is a time-consuming logistical burden which presents a high barrier to entry to earth data science. …”

Table_1_XCast: A python climate forecasting toolkit.docx by Kyle Joseph Chen Hall (13049001)

“…Heavy data preprocessing is needed: gridded data must be aggregated, reshaped, or reduced in dimensionality in order to fit the strict formatting requirements of Python's data science tools. Efficiently implementing this gridpoint-wise workflow is a time-consuming logistical burden which presents a high barrier to entry to earth data science. …”

Table_2_XCast: A python climate forecasting toolkit.docx by Kyle Joseph Chen Hall (13049001)

“…Heavy data preprocessing is needed: gridded data must be aggregated, reshaped, or reduced in dimensionality in order to fit the strict formatting requirements of Python's data science tools. Efficiently implementing this gridpoint-wise workflow is a time-consuming logistical burden which presents a high barrier to entry to earth data science. …”