Write reproducible, maintainable and modular data science code — *A tribute to “Learn you a Haskell for Great Good!” Grab a coffee and sit down. This is a long post! In this article, I introduce Kedro, an open-source Python framework for creating reproducible, maintainable and modular data science code. After a brief description of what it is and why…

Reproducible data science projects need project organization and clean code — A traditional software engineer sets out rules in code. In contrast, a data scientist identifies with learning algorithms that analyze patterns in data. But analytics projects are still bound together with conventional code, and as a data scientist, you can benefit from best practices first pioneered by software engineering.

Don’t break up with Jupyter Notebooks. Just use Kedro too! — This article is suitable for anyone who has found themselves seduced by the ease of working with Jupyter Notebooks. Although it’s aimed at readers who are relatively new to data science, it applies equally to more experienced data scientists & engineers who are considering how to improve their daily workflow. The convenience of a Jupyter Notebook combined with Kedro’s software best-practice

Applying BERT to analyze ESG topics in financial services — In this article, I’ll introduce you to a hot-topic in financial services and describe how a leading data provider is using data science and NLP to streamline how they find insights in unstructured data. Environmental, social, and governance (ESG) metrics measure the sustainability and societal impact of an investment in…

A new Python library for production-ready data pipelines — In this post, I will introduce Kedro, a new open source tool for data scientists and data engineers. After a brief description of what it is and why it is likely to become a standard part of every professional’s toolchain, I will describe how to use it in a tutorial…

*Be* the change in your online community — If you hang out “below the line” in the comments section of newspapers, on Reddit, StackOverflow or similar forums, there’s a good chance you’ve seen unkindness on the Internet. In technology, particularly, we rely upon getting answers to our questions from the online community. There are rarely books on Swizzy…

How will we offset the rapidly increasing power consumption of data centres? Hyperscale has plucked the low hanging fruit. What’s next? — Pop quiz: Which organ of your body uses the most energy? It’s the brain, of course. Your brain uses up to 20 percent of all the calories you consume each day. Maybe that explains why we’ve readily accepted that computers will use a huge amount of energy in processing, and emit so much heat that they also create a secondary power…

An interview with Dr Stelios Kampakis — Introduction In this article, I’m interviewing a veteran data scientist, Dr Stylianos (Stelios) Kampakis, about his career to date and how he helps decision makers across a range of businesses understand how data science can benefit them.

An interview with Barry Zane of Cambridge Semantics — Introduction In this interview, I’m catching up with Barry Zane, Vice President at Cambridge Semantics. Barry is creator of AnzoGraph™, a native, massively parallel processing (MPP) distributed graph database. Barry has had quite a journey in database world. He served as Vice President of Technology of Netezza Corporation from 2000 to…