Some useful Python libraries for numerical and scientific computing. by Alan Davies (6915104)

An interactive drop-down list created using a Python list. by Alan Davies (6915104)

Line and cell magic’s used to add SQL functionality to a Python notebook. by Alan Davies (6915104)

Simplifying compiled Python packaging in the sciences by Henry Schreiner (17090404)

Simplifying compiled Python packaging in the sciences by Henry Schreiner (17090404)

<b>Simplifying compiled Python packaging in the sciences</b> by Henry Schreiner (17090404)

Steps followed during Data Mining protocol of the Chembl Database using Python tool. by Kassim Folorunsho Adebambo (22806479)

OpenSCAD sample codes to show the effect of its functional programming paradigm. by Felipe Machado (8087561)

An example Python input file for the CA4 binder design. by Jakub Lála (17136205)

Code program. by Honglei Pang (22693724)

How are websites used during development and what are the implications for the coding process? : Survey Analysis Scripts by Omar Alghamdi (11377257)

“…</p> <p><br></p> <p>This collection includes:</p> <ul> <li>Pweave files: ends with ".texw" and used to generate Latex files. </li> <li>Python files: ends with "py" and used to produce plots of the survey data.…”

Secure Python Code Manager: A Tool for Protected Python Code Distribution and Management by Pavel Izosimov (20096259)

“…</p><h2>Key Features</h2><ul><li><b>Secure Code Sharing</b>: Utilize advanced <b>encryption</b> and <b>obfuscation</b> methods to <b>protect Python code</b> during transfer, enabling <b>secure code sharing</b> and <b>Python secure code transfer</b>.…”

RMSF results of the ligands within the receptor during the simulation. by Kassim Folorunsho Adebambo (22806479)

RMSD results of the ligands during the molecular dynamics simulation study. by Kassim Folorunsho Adebambo (22806479)

Pairwise comparison of 63 barcodes. by Irina Bulusheva (5451695)

pyCHARMM: Embedding CHARMM Functionality in a Python Framework by Joshua Buckner (1372389)

“…The ability to augment CHARMM forces and energies with energy terms or methods derived from machine learning or other sources, written in Python, CUDA, or OpenCL and expressed as Python callable routines is introduced together with analogous functions callable during dynamics calculations. …”

Ligand Interactions diagram of the four best molecules obtained during the molecular docking, the interactions details are shown in table 2. by Kassim Folorunsho Adebambo (22806479)

Parallel scalable simulations of biological neural networks using TensorFlow: A beginner's guide by Rishika Mohanta (7327013)

“…In this article and the accompanying tutorials, we present a simple exposition of numerical methods to solve ordinary differential equations using Python and TensorFlow. The tutorials consist of a series of Python notebooks that, over the course of five sessions, will lead novice programmers from writing programs to integrate simple one-dimensional ordinary differential equations using Python to solving a large system (1000's of differential equations) of coupled conductance-based neurons using a highly parallelized and scalable framework. …”

Output datasets from ML–assisted bibliometric workflow in African phytochemical metabolomics research by Temitope Omogbene (18615415)

CiddorPy: Python functions for phase and group refractive index in air by Florian Pollinger (6657344)

“…CiddorPy.py: Python module which provides functions providing the group and phase index of refraction in air depending on wavelength, temperature, pressure, relative humidity and carbon dioxide contents. …”