Short, useful summaries of coding, AI, and education news, with a practical next step for learners.
Python’s __all__ variable controls what gets imported when someone uses a wildcard import, like from module import *. It also helps define which names a module or package presents as part of its public API.
This quiz checks your understanding of wildcard imports in Python, the special __all__ variable, and how modules and packages control which names are public. It focuses on how import behavior affects what users see and access.
The Raspberry Pi Foundation hosted the 22nd Bebras International Task Workshop in Cambridge, bringing together organisers, educators, and researchers to review computational thinking tasks for upcoming national Bebras Challenges. Delegates from 61 countries discussed wording, illustrations, age suitability, accessibility, and the thinking skills involved. Out of 277 submitted tasks, 214 were accepted.
Agent skills are described as reusable tricks that teach an AI agent how to do specific tasks more reliably. The excerpt compares them to a trained dog learning expected actions, so the agent can follow a skill without being prompted from scratch each time.
A high school student in New Jersey created a free economics program for middle schoolers, using AI-built simulations based on sports. Students make decisions like managing payroll, handling salary caps, drafting players, and setting ticket prices while learning concepts such as incentives, scarcity, risk, and opportunity cost. The classes mix slide lessons, discussion, and interactive games.
A 31-year-old graphic designer began with HTML and CSS, then used those skills to make custom WordPress changes. She continued with a front-end program to expand what she could do in her existing role rather than treating coding as an all-or-nothing career switch.
This quiz explores how to work with Excel files in Python using openpyxl. It covers reading and writing cell values, using formulas, and adding styling, charts, and images.
This learning path introduces FastAPI from the basics. It covers building REST APIs, serving web pages with Jinja2 templates, and creating a complete URL shortener project in Python.
The excerpt argues that simplifying texts for students can weaken the reading experience and reduce the effortful thinking that helps them learn. It says some schools once praised an AI tool for leveling text, but the author warns that this shortcut can do the thinking for students instead of helping them access complex texts. It also notes that many states are moving away from text-leveling programs.
This article introduces Python’s built-in functions for working with math, data types, iterables, and input/output. It also explains when to use each one to write code that feels more natural in Python.
This quiz checks your knowledge of Python’s built-in functions for math, data types, iterables, and input/output. It also helps you learn when to use each function.
The excerpt says AI is becoming a business capability across many sectors, but many organisations still struggle to move beyond experiments. It argues that success depends less on technical tools and more on an AI mindset: curiosity, critical thinking, strategic use, responsible implementation, and change management.
This article explains how NumPy reshape() changes the shape of an array in Python. It shows how to add or remove dimensions and how the data is rearranged when you reshape it.
Khan Academy argues that a correct answer alone does not show how a student understands a problem. Explaining, revising, and reasoning make that thinking visible, which supports more useful feedback and timely intervention. AI should support this process rather than replace it.
This quiz practices NumPy's reshape() method for changing an array's dimensions. It covers adding or removing dimensions and controlling how the values are rearranged.
UNESCO and LG launched a free, nine-hour intermediate AI ethics course on Coursera. It is available in 11 languages, requires no advanced technical knowledge, and uses hands-on projects to examine privacy, transparency, sustainability, and human autonomy.
Google and the University of Waterloo’s Futures Lab is helping students create practical AI tools. The program also aims to prepare students for future jobs by giving them real-world experience.
Teachers see AI as a way to fill subject and language gaps for bilingual students. Researchers are exploring chatbots and multilingual models that can adapt learning materials, support parent-child dialogue, and offer explanations in a child’s home language while keeping core content in English. Experts say the approach could expand access if used well.