Short, useful summaries of coding, AI, and education news, with a practical next step for learners.
A content writer describes using Perplexity as an AI-powered research tool for checking facts and finding references. Its sources were easy to inspect, and the writer found other features that helped with work.
New York City and Los Angeles schools have paused classroom AI use, but students may still access tools on personal devices. Guests Yvette Renteria and Jaime Casap debate AI literacy, chatbot safety, and why schools should assess specific tools based on evidence rather than treating all AI alike.
This tutorial uses a fictional student performance dataset to show how to load and inspect a CSV file with pandas, calculate statistics, filter and group records, and create a basic visualization. It introduces a reusable approach to analyzing CSV datasets and requires basic Python knowledge, pandas, and Matplotlib.
The article explains how AI agents work by covering models, harnesses, context, and skills. It aims to help readers get better results while staying in control.
The article explains Python naming conventions that use single and double underscores. These conventions can help design APIs, create safer classes, and avoid name clashes.
Learn how to create Python generator functions and generator expressions using the yield statement. The article also explains when lazy evaluation—producing values as needed—can be useful.
Learn how to use Python to collect and parse data from websites. The introduction covers Beautiful Soup for working with page content and MechanicalSoup for interacting with HTML forms.
Python modules and packages help make modular programming possible. The article introduces how imports locate your code.
The article shows how to use Python logging instead of relying only on print(). It covers creating logs, setting severity levels and formats, and adding handlers to manage log output as projects grow.
This step-by-step Django project guides you through creating a portfolio app. Along the way, you’ll learn about models, views, templates, and Django’s admin.
Python f-strings offer a readable, concise way to insert values into strings and format the result. The excerpt says they are faster than `.format()` and the `%` operator.
Python operators are symbols and keywords used to build expressions. Combined with objects, they produce results through computation.
Pygame helps you create games and multimedia programs in Python. You can use it to draw on the screen, detect collisions, and respond to user input.
This guide introduces Python plotting with Matplotlib for beginner-to-intermediate learners. It combines explanations of the concepts with examples.
The article introduces Python’s threading, asyncio, and multiprocessing approaches to concurrency. It explains how to choose a model based on whether a program spends time waiting for input and output or doing CPU-intensive work.
The article shows how to combine Python’s itertools functions into memory-efficient pipelines. It uses examples involving dealing cards, analyzing stock data, and choosing relay teams.
AI can produce essays and other work once used to identify high achievers, raising questions about what schools should reward. The author recalls moving from doing the minimum to pursuing challenging English studies after a teacher recognized their interest in reading and writing, and argues that AI’s effects should be considered for all students.