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)

Custom Python script used to annotate mutation calls. by Mrudula Sane (21714162)

Custom Python script used to make annotated mutation lists. by Mrudula Sane (21714162)

Comparison of MATLAB and Python optimizers. by Fabian Fröhlich (848026)

Specifying parameter estimation problems in PEtab. by Leonard Schmiester (8327379)

A) L-curve curvature and B) CV-error for the problem studied in Fig 2. by Chaitanya Chintaluri (10803729)

Optimization problem formulation and results. by Thomas Couppey (19118460)

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

Tissue Forge Python deployment examples. by T. J. Sego (9904909)

Full report on challenges with learning to program and problem solve: an analysis of first year undergraduate Open University distance learning students' online discussions: Python... by Simon Savage (8096915)

The optimal solution set of NYN by using different algorithms. by Yi Tao (178829)

The optimal solution set of HN by using different algorithms. by Yi Tao (178829)

Boundary-value problems and solutions for the examined numerical models. by Xuzhen He (14676114)

Subjects:

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

“…To further enhance the utility of accessing and using CHARMM functionality in increasingly complex workflows associated with modeling biological systems, we introduce pyCHARMM, Python bindings, functions, and modules to complement and extend the extensive set of modeling tools and methods already available in CHARMM. …”

Questions used in the survey to evaluate the usefulness of nomograms. by Trevor Blight (20685529)

Subjects:

Real-Time Optical Imaging Acquisition and Processing in Python: A Practical Guide Using CAS: Code Repository by Michael Hughes (8821646)

“…<p dir="ltr">Real-time data acquisition and processing is an important step in the development of new approaches to optical imaging in the research lab. Python is increasingly used for scientific computing, and allows for straightforward application of artificial intelligence models using popular frameworks such as PyTorch. …”

SQL to Python data transfer overhead analysis. by João António (6496931)

A Combinatorial Double Auction for Community Shared Distributed Energy Resources by Khaled Abedrabboh (10034153)