Thonny: A Beginner-Friendly Python Editor
Thonny is a free Python IDE designed for beginners. It helps you write and run code, and includes a debugger that lets you follow your program step by step.
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The tutorial explains how to use JavaScript, PDF.js, and PDF-lib to arrange selected pages from a PDF into printable storyboard sheets. Users can choose layouts and pages, add captions, customize the appearance, preview the result, and download it; the PDF is processed locally in the browser.
The article introduces regex matching in Python with `re.search()`, which looks for a pattern in a string. It also covers metacharacters, groups, lookarounds, and flags for building more complex patterns.
This article explores Python’s `re` module functions for searching, substituting text, and other regex tasks. It also covers compiled patterns and match objects.
SimPy is a Python package for modeling real-world processes. You can build and run simulations to identify where a system becomes congested.
A two-year study in 18 Tennessee middle schools found that although 96% of students tried Khanmigo, the median student used it on only a third of the days it was available. Students made modest math gains, similar to Khan Academy practice without AI, and their tutor conversations rarely focused on math. Khan Academy says it is working to weave the tutor into learning activities and make it harder to avoid challenging work.
This guide covers documenting Python code, from small scripts to large projects.
Learn what recursion is and how it works in Python. The article explains when to use it and compares recursive solutions with iterative ones.
The article explains how PEP 8, Python’s style guide, helps make code readable and high-quality. It also covers using linters and autoformatters to check and apply these conventions.
Requests is a widely used Python library for making HTTP requests. Its straightforward API helps you send requests and interact with the web.
The article explains how Python’s range() function represents numerical sequences and how it works. It also discusses when enumerate() or zip() may be better choices in loops.
Learn what getter and setter methods do in Python and why properties are usually the better choice. The article also explains when getters and setters still make sense.
Digital marketing creates large amounts of data, but more data alone does not guarantee better decisions. Python can help marketers automate recurring reports, analyze customer behavior, find patterns, build predictive models, and turn raw data into useful information.
The article describes AI tools that can build a presentation’s structure, draft initial content, and handle its visual design. The author says they spent a month testing presentation software, focusing on tools that use AI, and notes that people still need to add their own information and insights and rehearse.
ChatGPT is easy to use, but offers limited control over its outputs. The article introduces the OpenAI playground as a way to explore models through the API and adjust how they respond.
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.