Hosted by Peter Schmidt · 🇺🇸 US · EN-GB · 20 episodes
Established thought leaders with verified media credentials.
The companion podcast for courses on programming from the Advanced Research Computing Centre of the University College of London, UK.
Peter Schmidt hosts UCL for Code in Research, a technology show with 20 episodes published.
Here we touch on some ways to build classes in C++ and how class design such as class hierarchies can help to make code more readable, more maintainable and less error prone (amongst other things). Klaus Iglberger and I
Inheritance, templates, function overloading - they all fall into the category of polymorphism in programming. My guest Klaus Iglberger and I discuss the different aspects of how this could be done with C++. Links https:
Exceptions are essentials, as are error codes. Writes Bjarnes Stroustrup. And so on our 3rd stop through C++ I talk about what you could do when things go wrong. And what you can do to prevent errors - with testing. My g
In the beginnings were...data and data types. Which is where we begin our journey through C++. The language provides for a range of interesting, fundamental, complex and custom types - one of which is a set of pointer ty
This first episode is about introducing C++, where it started, how it evolved. You will hear from 2 practitioners: Klaus Iglberger (C++ coach/trainer) and Marc Hartung (tech lead at Dive in Berlin). Here are a few links
In this last episode of this course, I talk to Itamar Turner-Trauring who created the website PythonSpeed and spent a considerable time on finding ways to make Python code faster and more efficient. Python and its ecosys
In this episode I talk to Jeremiah Miller - a software engineer - and Max Albert - a research software engineer in the research software group at the University of Southampton about refactoring and design patterns. https
In this episode I talk to Monika Byrne Svata, Agile Delivery Manager at UCL about project management and in particular Scrum and Kanban. GitHub has features, like Issues and Projects that can help you stay on top of your
Documentating software is part of the life of software engineers. But what kind of documentation do we need? In this episode I take you through three levels of documentation: the basic README and LICENSE files everyone s
Testing your software is part of development. In this episode I talk about different types of testing, automated tests, legacy code etc. My guest is Stef Piatek from UCL who tells us how he approaches testing in his dail
In this episode I'll be discussing data formats such as CSV, JSON and YAML. My guest is Nick Radcliffe from Stochastic Solutions and the Uni. Edinburgh. Nick's expertise is in data science and he has a lot to share about
Python is one of the most widely used programming languages in research and science. How did it come to that. And what makes Python special? It's something I discuss with my guest in this episode, Robin Wilson, who also
In this episode we look into more essential Git commands, such as branching and merging. Branching and merging are key concepts that help you develop code or even text documents in a team. They help you maintain differen
Peter Schmidt - the host of this podcast - interviews Sam Harrison, an environmental modeller at the UK Centre for ecology and hydrology. Is it version control important for his research? what tool does he use? How he le
In this last episode of the companion podcast for the C++ course at UCL, I invited both Klaus Iglberger and Marc Hartung (Dive, Berlin) to go through some aspects of parallel computing. But also to look a little bit ahea
Marc Hartung and I will discuss distributed memory in parallel computing in this episode, with tools like OpenMPI. We also discuss some of the hardware aspects around HPC systems and how shared and distributed memory com
Parallel programming is a huge, exciting and evolving field. Together with my guest Marc Hartung from Dive in Berlin, Germany, we try to cover some aspects of it: including OpenMP, how to synchronise data etc. Links: htt
How can we measure the performance (run-time, memory usage etc) of our C++ code? And what does performance mean, anyway. These and other questions are the topic of this episode - with my guest Klaus Iglberger, C++ engine
Software libraries play a crucial role in software development, and C++ is no exception. Klaus and I walk through the different aspects of building, using and selecting libraries. Links: https://cmake.org CMake toolhttps
Welcome to the new podcast from the Advanced Research Computing Centre of the University College London, UK. A companion podcast for courses on Research Computing at UCL. In this first season we'll be presenting the cour
Detected from recent episode content. Sponsor presence is a real signal of listener purchasing power and show monetisation.
No public pitch examples yet for this show.
Generate your own personalised pitchBased on semantic analysis of episode topics and host coverage, this show is a strong guest fit for executives in:
Industry fit is computed by PitchCentric using vector embeddings of the show's episode catalog.
Shows with the most semantically similar episode content. Pitch one, pitch all; producers cluster.
UCL for Code in Research has a verified contact on file. Create a free PitchCentric account to access it and generate a personalised pitch in seconds. Research at least 3 recent episodes first and lead with a specific angle that serves their technology audience.
UCL for Code in Research is hosted by Peter Schmidt. The show is categorised under technology and has published 20 episodes.
UCL for Code in Research has published 20 episodes.
UCL for Code in Research regularly covers technology. It sits in the technology category.
UCL for Code in Research is accessible for guests with genuine technology expertise. A personalised, episode-aware pitch will still outperform a generic one every time.
UCL for Code in Research hasn't explicitly signalled guest openness in recent episodes. That doesn't rule out pitching. your hook just needs to be especially compelling and relevant to their recent content.
Episodes of UCL for Code in Research average 29 minutes. a focused format where a clear narrative arc and tight preparation matter most.
Our data rates UCL for Code in Research's guest bar at 80/100 (Premium tier). Established thought leaders with verified media credentials. Sign in to PitchCentric to see how your own Pod Score compares against this show.
Methodology. Booking Probability™ blends Listen Score, 30-day Virality, open-to-guests detection, and Apple ratings. Data refreshed every 60 minutes. Listen Score and Booking Probability are calculated by PitchCentric. Last enriched 10 days ago.
