Implementing the Gaussian Challenge in Python
Carl Gauss was a German mathematician and astronomer, also known as the “Prince of Mathematics”. He is widely recognized for ...
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Implementing the Coffee Machine in Python
of the easiest programming languages, and one that encapsulates within itself diversity and the potential to include code as complex ...
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The Beauty of Space-Filling Curves: Understanding the Hilbert Curve
0. Introduction (SFC) are fascinating mathematical constructs with many practical applications in data science and data engineering. While they may ...
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Extracting Structured Data with LangExtract: A Deep Dive into LLM-Orchestrated Workflows
Having developed raw LLM workflows for structured extraction tasks, I have observed several pitfalls in them over time. In one ...
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Hands-On with Agents SDK: Safeguarding Input and Output with Guardrails
exploring features in the OpenAI Agents SDK framework, there’s one capability that deserves a closer look: input and output guardrails. ...
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How to Context Engineer to Optimize Question Answering Pipelines
engineering is one of the most relevant topics in machine learning today, which is why I’m writing my third article ...
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Tool Masking: The Layer MCP Forgot
By Frank Wittkampf & Lucas Vieira MCP and similar services were a breakthrough in AI connectivity¹: a big leap forward ...
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Should We Use LLMs As If They Were Swiss Knives?
or so, it has been impossible to deny that there has been an increase in the hype level towards AI, ...
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Useful Python Libraries You Might Not Have Heard Of: Freezegun
that testing our code is a crucial and essential part of the software development life cycle. This is perhaps even ...
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What Being a Data Scientist at a Startup Really Looks Like
five years, I left Brex in August. Time really flies. I joined Brex when it was three years old, and ...
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