Recent advances in artificial intelligence will change how we build, use, and interact with technology. Here’s seven things that product managers can do to prepare for an AI-powered economy. — “Artificial intelligence” is a buzzword that is thrown around a lot in technology circles, often to describe products that are not very intelligent at all.¹ However, AI has come a long way and is set to revolutionise many aspects of our lives. In particular, recent advances in generative artificial intelligence…

A hands-on guide to automating docstrings checks and auto-generating documentation with pre-commit hooks — When time is short, code documentation typically is the first thing to suffer. Yet, high-quality code documentation is key to collaborating effectively in development teams, to ease onboarding as new developers join, and to ensure continuity when a team member decides to leave your company. …

Here’s how to build a simple wrapper function to execute Python scripts in R — Complex statistical analyses often require the use of scripts in different programming languages. For example, you may want to develop and train machine learning models and process your data in Python, but run statistical analyses in R. Sometimes, it is easier to execute all scripts through one wrapper function in…

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A concise overview of Elasticsearch concepts and principles — Elasticsearch (ES) is a distributed search engine designed for scalability and redundancy. ES has become increasingly popular in recent years because of its robustness and scalability in machine learning, storage and handling of large volumes of data for analytics, and many other applications. In this blog post, we’ll go over…

A hands-on guide to automating version tags and changelogs based on your project’s commit history with commitizen — Tired of keeping track of whether your code changes warrant a minor or major version increment? Too busy to keep a neat and tidy changelog? Try using commitizen, a command-line utility that “forces” you to write commit messages following the Conventional commits standard (or a different, user-defined format). Once configured…

Make your code easier to debug by adding string representations of your Python classes — In this blog post, we’ll take a brief look at the use of Python’s __repr__() method, and why you should use it when creating your own, custom Python classes. A quick primer in __repr__() When creating a Python class, adding a descriptive string representation of the class and its objects is useful for debugging purposes…

A hands-on guide to writing Elasticsearch queries in Domain Specific Language, using the Python Elasticsearch Client — In this post, I’ll introduce the basics of querying in Elasticsearch (ES). We’ll look at how queries are structured (e.g. the filter vs. query context, and relevance scoring) in Elasticsearch Domain Specific Language (DSL) and apply them with the Python Elasticsearch Client. (And, if DSL makes your head spin, skip…

Here are three strategies to reduce the store size of your Elasticsearch indices when dealing with large and continuous streams of data — Elasticsearch (ES) has gained traction in recent years because it offers a robust and scalable engine for storing and analysing large volumes of data with low latency. If you’re a data engineer or data scientist working with large (and fast-growing) volumes of data, you’ll know that optimising for storage is…