The native just-in-time compiler in Python 3.15 can speed up code by as much as 20% or more, although it’s still experimental ...

Overview: The lesser-known Python libraries, such as Rich, Typer, and Polars, solve practical problems like speed, clarity, ...

Python gives you far more control, and the ecosystem is stacked with libraries that can replace most no-code platforms if you ...

The 2025 SANS SOC Survey shows AI use is rising, but many SOCs lack integration, customization, and clear validation ...

Overview Python projects in 2026 emphasize hands-on learning through real-world use cases rather than purely academic examples.Beginner projects focus on logic ...

You don't need fancy hardware to get started on your coding journey. A low-spec computer will likely be more than you need to ...

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...

Always check your work and test the output: It's easy to fall into the trap of thinking AIs are all-knowing, but that is simply not the case. Always review the code and test everything before using it ...

A practical guide to the four strategies of agentic adaptation, from "plug-and-play" components to full model retraining.

Choosing the Secret Ending will require the completion of a number of Side Jobs and have reached a certain percentage of friendship towards Johnny. Along with the following Side Jobs, you will also ...

Half advice show. Half survival guide. Half absurdity-fest. (Wait, how does this work again? We're not numbers people.) Each episode, we answer all your burning questions, from how to survive a public ...

This article will examine the practical pitfalls and limitations observed when engineers use modern coding agents for real enterprise work, addressing the more complex issues around integration, ...