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)

Poster: Evaluating the Programming for Physical Sciences website and forums on SM123 Physics and Space by Andy Diament (17201125)

“…<p dir="ltr">Students on SM123 <i>Physics and space</i> learn programming in Python across the module. Some find it straightforward, others very difficult. …”

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. …”

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

“…This project has received funding from the EMPIR programme co-financed by the Participating States and from the European Union’s Horizon 2020 research and innovation programme.…”

<b>FluxZayn: </b>An Extension for Stable Diffusion WebUI Forge 300 word overview by Umran Ali (3853630)

“…</p><p dir="ltr">This project is underpinned by the concept of democratizing tool development for creative practitioners and investigates the following questions:</p><ol><li>Can a non-programmer successfully "vibe code" a complex, functional software tool?…”

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

Online discovery of co-movement patterns in mobility data by Andreas Tritsarolis (8505312)

“…q=content/flightaware-ads-b-march-2017">chorochronos.datastories.org</a></li></div><div> <li>Porto Dataset: <a href="https://www.kaggle.com/c/pkdd-15-taxi-trip-time-prediction-ii">kaggle.com</a></li></div><div> <li>Oldenburg Dataset: <a href="https://kdd.isti.cnr.it/moflock-moving-flock-finder">kdd.isti.cnr.it</a></li></div><div><br></div><div><br></div><div><b>Acknowledgements</b></div><div><b><br></b></div><div> This work was partially supported by projects i4Sea (grant T1EDK-03268) and Track&Know (grant agreement No 780754), which have received funding by the European Regional Development Fund of the EU and Greek national funds (through the Operational Program Competitiveness, Entrepreneurship and Innovation, under the call Research-Create-Innovate) and the EU Horizon 2020 R&I Programme, respectively.…”

Project orchestration and building self-service tools by eRNZ Admin (6438486)

“…</p><p dir="ltr">Finally, to demonstrate this solution, we will look at how a user with no programming experience can develop a deep learning computer vision model using a self-service tool built with this system. …”

Research Bazaar 2018 – Highlights, insights, and what can we learn from each other? by Dharani Sontam (3798478)

“…As an example, instead of fullfledged software carpentry lessons in core digital tools (such as R programming language, Python and Git) we offered close to 40 “taster sessions” where audience had the chance to learn about the digital tools they were interested in. …”

Upskilling researchers in Machine Learning by eRNZ Admin (6438486)

“…Formerly an atomic astrophysicist at KU Leuven, Mike now uses his experience in research and programming to help tackle the ever-growing digital needs of researchers. …”