Code for Thought Peter Schmidt

Property based testing can help you make your tests more effective and your code more robust. Together with my guests Duncan McGregor and Nicholas del Grosso we talk about what property based testing is and in particular go into one widely used implementation for Python - the Hypothesis library. 

Here are a few links:
https://increment.com/testing/in-praise-of-property-based-testing/ from David MacIver (creator of hypothesis) about the benefits of property based testinghttps://hypothesis.works/articles/what-is-property-based-testing/ explaining what property based testing ishttps://www.inspiredpython.com/course/testing-with-hypothesis/testing-your-python-code-with-hypothesis Testing your code with Hypothesishttps://reiddraper.com/writing-simple-check/ Reid Draper (QuickCheck) on shrinkinghttps://hackage.haskell.org/package/QuickCheck-1.0 the QuickCheck toolhttps://hypothesis.works/articles/how-many-tests/ How many tests is hypothesis running?https://hypothesis.works/articles/quickcheck-in-every-language/ property based testing in other languages (a bit outdated - it's from 2016)https://hypothesis.works/articles/integrated-shrinking/ David MacIver on how he implemented shrinking in Hypothesishttps://hypothesis.works/articles/compositional-shrinking/ and more on shrinkinghttps://jqwik.net the property based testing library for Java/Kotlinhttps://en.wikipedia.org/wiki/Functional_programming What is functional programminghttps://www.youtube.com/watch?v=xgDPvlgUSLE Duncan's YouTube episode on property based testing with jqwik (from his channel 'Refactoring to Kotlin')Support the Show.
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In this episode I talk about two different aspects of diversity in tech and in research software engineering in particular. First we hear from Jeremy Cohen, who has been running the DiveRSE seminar series since 2022 and is the co-author on a paper on the subject (link below). Then I talk to Michael McLeod, who is telling us about the role LGBTQ+ people play in tech. 

Links
https://diverse-rse.github.io the DiveRSE seminar serieshttps://arxiv.org/abs/2104.01712 the paper Understanding Equity, Diversity and Inclusion Challenges Within the Research, 2021https://softwaresaved.github.io/international-survey-2018/ RSE International Survey from 2018https://zenodo.org/records/7015772 International RSE Survey 2022https://prideinstem.org Pride in STEMhttps://stemlgbtqyou.gay STEM and LGBTQ+ youSupport the Show.
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Get in touch:
Email mailto:code4thought@proton.me UK RSE Slack (ukrse.slack.com): @code4thought or @piddie US RSE Slack (usrse.slack.com): @Peter Schmidt Mastadon: https://fosstodon.org/@code4thought or @code4thought@fosstodon.org LinkedIn: https://www.linkedin.com/in/pweschmidt/ (personal Profile)LinkedIn: https://www.linkedin.com/company/codeforthought/ (Code for Thought Profile) This podcast is licensed under the Creative Commons Licence: https://creativecommons.org/licenses/by-sa/4.0/

How can we make computing environmentally more sustainable. Meet Loïc Lannelongue, who - together with Michael Inouye - created the Green Algorithms project. Amongst other things, it allows us to estimate the carbon footprint of our algorithms and computing jobs. 

The project has been awarded the HDR UK Susannah Boddie Award for Impact of the Year in March 2024. 

Links:
https://www.green-algorithms.org the home page of Green Algorithms where you also find the link to their estimation toolhttps://github.com/GreenScheduler/cats the green task scheduler - an output from the Collaborations Workshop 2023https://www.hdruk.ac.uk/news/winners-announced-2024-hdr-uk-annual-prizes/ the HDR UK award page for 2024https://github.com/Llannelongue Loïc's GitHubhttps://www.lannelongue.eu his homepagehttps://www.inouyelab.org Michael Inouye his colleague https://greensoftware.foundation The Green Software Foundation

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Lecturers without Borders  wants to bring scientists and school students together. It is an exciting project and for this episode I talked to Eugenia Covernton, who's leading the non-profit organisation. 
So, if you are a travelling researcher or RSE, or even if you want to do it from the comfort of your home, LeWiBo give you an opportunity to share your work in schools.

https://www.lewibo.org

The web-site lists a number of partnering organisations like https://www.europlanet-society.org/european-planetary-science-congress/ .
You can also register your interest there directly.


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scikit-learn is a highly successful and popular Python library for data science and machine learning. It is open source and has a large contributor base. 

I had the pleasure to meet with some of the scikit-learn team to talk about how they got involved and how it is possible to run an Open Source project of this size and scale. 

If you like to get involved, here are a few links to their home page and GitHub repository.


https://scikit-learn.org/stable/index.html scikit-learn homepagehttps://github.com/scikit-learn/scikit-learn GitHub repohttps://blog.scikit-learn.org Blog postGo to the community page of scikit-learn to get links to LinkedIn, Twitter and others
Support the Show.
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In this episode I meet with Dr Emma Karoune and some of her colleagues from The Alan Turing Institute in London https://www.turing.ac.uk/ to talk about who and what skills we need to create and run modern data science teams. Emma is one of the awardees of the Skills and Policy award at the Turing.
https://www.turing.ac.uk/skills-policy-awards-20232024 The Skills and Policy Award by The Alan Turing Institutehttps://iuk.ktn-uk.org/programme/bridgeai/ The UKRI Bridge AI programmePeople interviewed in this episode
Dr Emma Karoune, Senior Research Community Manager, Health & Tools, Practices & Systems https://www.turing.ac.uk/people/research-associates/emma-karouneDr Aida Mehonic, TPS Senior Researcher - Research Applications. Research Application management webpage - Research Application Management | The Alan Turing InstituteVicky Hellon, Research Community Manager. Open Research Community Management Team - Open Research Community Management | The Alan Turing InstituteLuis Santos, Senior Data Wrangler. Data for research Team -  Data for Research (Data Wrangling) | The Alan Turing InstituteKatriona Goldman and Jonathan Yong, Research Data Scientists. Research Engineering Group  - Research Engineering Group | The Alan Turing InstituteDr Emma Karoune's work is supported by the Ecosystem Leadership Award under the EPSRC Grant EP/X03870X/1 and The Alan Turing Institute.

Turing data science case study will be published at: https://www.turing.ac.uk/research/research-projects/professionalising-traditional-and-infrastructure-research-roles-data
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