Author: R. Morgan

Introduction to Code Pages: Legacy Character Encoding Systems

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Introduction to Code Pages: Legacy Character Encoding Systems

Code pages were once the backbone of character encoding in computers, providing a way to map binary values to text in different languages. However, they had significant limitations, particularly when dealing with multiple languages at once. This article explores the history of code pages, how they were used, and why they have been largely replaced by the modern Unicode standard, which offers a universal character set for all languages.

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An Introduction to C for Arduino Users

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Explore the essentials of C programming tailored for Arduino users. This comprehensive guide covers variables, data types, control structures, functions, arrays, and pointers, with practical code examples to help you harness the full potential of the Arduino platform.

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Implementing Command Parsers on Arduino Over Serial

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Introduction Command parsers are essential in embedded systems for receiving and interpreting commands from a host device, such as a computer or another microcontroller. In this article, we will explore how to implement command parsers on an Arduino over a serial connection, focusing on memory management, text buffer creation and use, string formatting, and handling

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Beware of Fake Chips: A Hard Lesson in Electronics

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If you’ve been following my blog for a while, you know that I love tinkering with electronics. Recently, I encountered a situation that has driven home the importance of sourcing components carefully, especially when dealing with critical parts like EEPROMs. A couple of weeks ago, I decided to purchase ten AT28C64B-150PU EEPROM chips from Amazon

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Mastering Assembly with GCC: A Comprehensive Guide to Assembling x86-64 Code

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Learn how to master assembly language programming with GCC, focusing on x86-64 architecture. Explore optimization techniques, debugging strategies, and system programming concepts to unleash the full potential of low-level system programming.

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Programming Languages: Loved, Loathed, and Long-Standing

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The world of programming languages is vast and ever-evolving. Over the decades, many languages have been introduced, gained popularity, and sometimes faded into obscurity. Yet, some languages, despite being widely criticized, have managed to maintain a strong foothold in the industry. Conversely, others, once heralded as the future, have declined in use. This article delves into this phenomenon, examining why some languages are resilient despite criticism, while others have fallen out of favor. We will explore these dynamics globally, understanding regional preferences and the historical context that has shaped the programming landscape.

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The Productivity Paradox of AI Writing Tools: An In-Depth Analysis

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The integration of artificial intelligence (AI) into writing and content creation has been heralded as a significant leap forward, promising to streamline the writing process, enhance productivity, and democratize content creation. OpenAI’s advanced models, such as GPT-4, have introduced features like “Write for Me,” which allow users to generate text on demand. However, these tools have also introduced a paradox: while they offer unprecedented capabilities, they often impede productivity due to their limitations and operational inefficiencies.

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Building a Simple Modal Line Editor in Python: A Step-by-Step Guide

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In this comprehensive tutorial, we guide you through creating a simple modal line editor in Python. Starting from basic functionality, we progressively add features like inserting lines before or after a specified line and implementing a yank command. Perfect for those looking to enhance their Python skills with practical text editing capabilities.

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The Impact of AI on the Internet: Reshaping Blogging, Marketing, Search Engines, and More

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Businesses and individuals must adapt to this new paradigm by embracing AI technology, focusing on quality and user experience, and protecting personal data. By doing so, they can harness the full potential of AI while mitigating its drawbacks, ensuring they remain competitive and relevant in an AI-driven digital landscape.

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Implementing Regular Expressions (RegEx) from Scratch in Python

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Implementing Regular Expressions (RegEx) from scratch in Python provides a deeper understanding of how RegEx works. This tutorial guides you step-by-step through creating a RegEx engine using finite automata, covering essential RegEx operations, converting RegEx to NFA using Thompson’s Algorithm, and building a full-featured RegEx engine.

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