How to Print Brackets in Python?
Author: drweb
Every tech conference likes to say it is about the future. Most of them are really about product launches, roadmaps and a little carefully managed optimism. SUSECON feels different this year. Part of that is timing. Part of it is geography. And part of it is that SUSE happens to sit right in the middle of several conversations that are becoming more urgent by the day. The event runs April 20 through 23 in Prague, with more than 100 breakout sessions covering Linux, cloud native infrastructure, edge computing, AI, observability and digital sovereignty, along with keynotes, hands-on labs, certification exams…
Operators are the building blocks of any Python expression. They perform operations on values and variables, and the values they act upon are called operands. Python gives you both keyword-based and symbol-based operators, and I use them every day in production code without thinking twice about the distinction. This article covers every operator type Python ships with, from basic arithmetic through bitwise manipulation, operator overloading, and the operator module. By the end, you will know exactly what each operator does, how precedence works, and how to overload them for your own classes. Arithmetic Operators Arithmetic operators work on numeric types,…
Software runs, but sometimes it doesn’t… and that’s often down to a lack of runtime visibility in relation to platform engineering teams being able to trust coding assistants and AI-powered site reliability engineering (SRE) services. It’s an assertion made by software reliability company Lightrun, in its State of AI-Powered Engineering Report 2026, based on an independent poll of 200 SREs and DevOps leaders at enterprises in the U.S., UK and EU. “To keep pace with AI-driven velocity, we can no longer rely on reactive observability. We must shift runtime visibility left, giving AI tools and agents the live execution data…
Accuracy is a trap for anyone working with imbalanced classification. In fraud detection, cancer screening, churn prediction, and spam filtering, the majority class dominates by orders of magnitude. A model trained on such data can achieve 95% accuracy by simply predicting the majority class every time. That is not a useful model. The accuracy metric does not tell you that you have built something worthless. Precision and recall solve this problem by measuring what the confusion matrix actually says. This article covers how both metrics work, when to prioritize each one, and how to compute them in Python with code…
Mean and standard deviation are the two statistics you reach for first when you need to understand a dataset. Mean tells you where the center of your data sits. Standard deviation tells you how tightly or loosely the values cluster around that center. Every engineer I know uses these two measures daily, whether they are profiling latency across API endpoints, checking quality control metrics on a production line, or deciding what inventory levels make sense for next quarter. This article covers the full picture: the math behind mean and standard deviation, the difference between population and sample statistics, and every…
Building enterprise-grade AI agents just got a little less risky. OpenAI has released a significant update to its Agents SDK, adding two capabilities that development teams have been waiting for: Native sandboxing and an in-distribution model harness. Together, these additions push the SDK from a promising framework into something closer to a production-ready platform. From Swarm to Something Serious If you’ve been following OpenAI’s agent development story, the Agents SDK has come a long way in a short time. It launched in early 2025 as the production-ready successor to Swarm, an experimental, lightweight framework for exploring multi-agent patterns. The SDK…
Python for data analysis is getting popular over time because first, it is easy to learn and use. Then it has lots of powerful libraries for data analysis tasks like NumPy for fast calculations, Pandas for handling and analyzing data, and Matplotlib for data visualization. Plus, it works well with large data and connects easily with AI tools, helping analysts work faster and smarter. Why Practice Python for Data Analysis MCQs? Practising Multiple Choice Questions (MCQs) is one of the best ways to test your foundational knowledge. While writing code is important, understanding the theoretical concepts ensures you can apply…
In this guide, we’ll show you how to use sort and uniq together to deduplicate, count, and summarize log file entries in Linux with practical examples. You’re staring at a log file with 80,000 lines. The same error repeats 600 times in a row. grep gives you a wall of identical output. You don’t need to read all 80,000 lines – you need to know which errors occurred and how many times each one appeared. That’s exactly what sort and uniq solve, and most Linux beginners don’t know they go together. What sort and uniq Actually Do sort is a…
The battle between the two leading AI developers seems to never stop. The newest chapter: OpenAI has released a major update to its Codex platform, repositioning the tool from a coding assistant into an automation layer operating across a developer’s environment. The release is clearly an effort to keep pace with Anthropic, whose multi-faceted Claude Code is gaining big traction in the lucrative enterprise sector. The most important improvement is Codex’s ability to act directly within a user’s operating system. The platform can now interact with applications by issuing commands that simulate user behavior, including opening programs and typing inputs. On macOS systems, multiple…