Short, useful summaries of coding, AI, and education news, with a practical next step for learners.
The article walks through a real Linux boot from firmware to the login screen using systemd-analyze. It shows that boot time is split across firmware, bootloader, kernel, and userspace, and explains that tiny rounding differences in the output are normal. It also notes that much of the boot can happen before Linux itself starts.
freeCodeCamp.org has published a free, hands-on Python course on YouTube for complete beginners. It teaches Python through three terminal projects: an expense splitter, a word scramble game, and a karaoke queue manager, while covering basics like variables, loops, functions, and error handling.
This quiz checks your understanding of Python IDLE, including running code in the shell, editing and running files, and using breakpoints to debug. It also covers changing the editor’s appearance to suit your preferences.
Two educators reflect on comments from students that led them to think differently about AI and learning. One teacher says “I used ChatGPT” can mean a student skipped the thinking work, not just copied, and she now asks students to resist that easier path. The other sought answers at a coding summit and came away thinking differently about equity, identity, and what students need for an AI-shaped future.
Google is working with Missouri to give 1.1 million students free access to Gemini for Education and career certificates. The partnership is aimed at supporting learning with AI tools and job-focused training. The excerpt says readers can learn how to get started.
This article explains how to measure Python code execution using the time module. It then shows how to create a reusable Timer class that can be used as a context manager, which is a tool for managing setup and cleanup automatically.
The UK Bebras Challenge is a free annual computing challenge for students aged 6 to 19. It uses 45-minute, age-appropriate interactive puzzles to build computational thinking, requires no text-based programming or extra preparation, and gives all participants a certificate. Schools can also earn digital badges for participation milestones.
Teachers and early childhood experts say AI-generated videos for preschoolers and kindergartners are spreading quickly online, often with flashy visuals but little real value. They point to examples of inaccurate, inappropriate, or misleading content and worry that large numbers of unreviewed videos can fill children’s feeds.
Experience AI gives educators free resources to help young people understand AI and machine learning in ways that fit different classrooms. The updated set includes introductory lessons for ages 8–12 and 13–16, plus deeper units on how AI systems work, how they are trained, and how they can be used. The materials were shaped by classroom use and partner training in many countries.
This quiz checks understanding of descriptive statistics in Python. It covers how to describe data using measures of center and spread, correlation, summaries, and plots that help reveal patterns.
Khan Academy has a free Career Exploration course that helps learners hear from real professionals, compare different career paths, and choose a practical next step. The excerpt says the course is designed to support career exploration.
This quiz checks your understanding of Python’s built-in data structures, including dictionaries, arrays, records, sets, stacks, queues, and priority queues. It is meant to test how well you recognize and use these basic container types.
The excerpt introduces upcoming training sessions in the Google AI Educator Series. It also highlights how teachers are using these tools in their classrooms.
Thanh Cao moved from running a sushi takeaway to becoming interim Technology Lead at a Norwegian tech company. After trying free tutorials, Thanh chose Code Institute for its structured full-stack course and portfolio-based projects, building skills in HTML, CSS, JavaScript, Bootstrap, jQuery, Flask, Django, and some mobile and C# work.
Web browsing leaves behind details like your IP address, screen size, and fonts, which ad companies can combine into a profile. The article says you can improve privacy without being a security expert by starting with your browser, blocking trackers, using a VPN, securing search and DNS, and cleaning up accounts. It also explains that each tool has limits, so you should build a practical setup.
This tutorial explains what Python decorators are and how to define and use them. It also shows how decorators can improve code readability and reuse, and how they work internally. Readers are encouraged to practice writing their own decorators.