Skip to main content

I'm Now Building My Own Micropython Tools (it's easier this way)

 

Building Micropython Tools: MyHelperCode

MyHelperCode

MyHelperCode/Gist

One of the biggest barriers for new programmers is not necessarily understanding programming concepts, but repeatedly having to rewrite the same small utility functions every time they start a new project. That is one of the main reasons I created MyHelperCode, a reusable Python library designed to simplify common programming tasks and make development more accessible for people who are still learning. Instead of wasting time rewriting boilerplate logic, developers can focus on understanding the bigger picture and solving real problems.

The project itself is hosted publicly on GitHub as part of my wider focus on creating practical, approachable tools for developers, students and technical hobbyists. MyHelperCode contains reusable helper functions aimed at streamlining day-to-day development tasks, particularly for automation, data handling and lightweight processing workflows. The overall goal is not to create an overly complicated enterprise framework, but to provide genuinely useful tools that make life easier for ordinary developers working on real-world projects.

One of the aspects I enjoy most about developing this repository is the problem-solving mindset behind it. Every helper function usually starts with a situation where I found myself repeatedly solving the same issue across multiple projects. Over time, instead of duplicating code, I began abstracting these solutions into reusable utilities. That process naturally evolved into a standalone package which could potentially help other developers save time as well.



The repository also reflects my wider philosophy about accessibility in software engineering. Too much technical content assumes that everybody already understands advanced concepts, industry terminology and complex development workflows. MyHelperCode is part of my effort to lower that barrier slightly by creating tools and examples that are easier to understand and easier to apply. Programming should not feel intentionally exclusive, especially for people trying to teach themselves outside of traditional industry environments.



Alongside the main repository, I also created a GitHub Gist demonstrating practical examples of how the code can be used in real scenarios. Gists are incredibly useful because they allow developers to quickly share working snippets without requiring people to clone or download an entire repository. In many ways, they are perfect for demonstrating small but useful ideas in a highly accessible format. The example gist connected to MyHelperCode shows how these helper functions can be integrated into lightweight workflows quickly and efficiently.



Another important part of this project is that it represents continuous learning and experimentation. Modern software engineering changes rapidly, and one of the best ways to improve as a developer is to build practical tools that solve your own problems first. Projects like MyHelperCode allow me to experiment with Python development, code organisation, reusable architecture and maintainability while also producing something that may be useful to others in the process.

Open-source development is also about visibility and collaboration. Publishing repositories publicly demonstrates not only technical ability but also initiative, consistency and a willingness to contribute ideas openly. Even relatively small projects can become valuable portfolio pieces because they show how a developer approaches structure, documentation, problem solving and long-term improvement. MyHelperCode is part of that wider journey for me as I continue developing my skills across software engineering, automation, IoT systems and data-driven applications.



Ultimately, MyHelperCode is about practicality. It is about creating reusable solutions, reducing repetitive work and making programming slightly more approachable for the next person. Whether somebody uses the repository directly, learns from the code structure or simply takes inspiration from the idea of building their own reusable utilities, the project has already achieved something meaningful. Small tools often solve bigger problems than people initially realise.

Comments

Popular Past Posts

Meet Cuthbert Baines: A Passionate and High-Achieving Professional Programmer

   Hello, and welcome to my corner of the internet! I'm Cuthbert Baines , a seasoned computer programmer with a passion for solving complex problems and building efficient, scalable software. With years of experience in the industry, I’ve honed my skills to not only deliver high-quality code but also to contribute meaningfully to projects that push the boundaries of technology. My Journey into Programming I’ve always had a deep curiosity about how things work, which led me to the world of computer science and programming. From my first lines of code to tackling challenging algorithms, the journey has been a rewarding one. Over time, my focus has expanded to include full-stack development , machine learning , and software architecture , but the heart of my work remains in solving real-world problems with clean, maintainable code. What Sets Me Apart? As a professional programmer, I pride myself on a few key principles that guide my work: Attention to Detail : Whether I’m...

A Beginner’s Guide to AI & Machine Learning Terms (No Tech Background Needed!)

📶💻💹 Artificial Intelligence (AI) and Machine Learning (ML) are terms that are used by a lot of people but do you know about the technical nuts and bolts of how they actually work? If you don't that's OK, — I’ve broken down some of the most common terms you might hear in the world of AI/ML into simple explanations anyone can understand. Plus, if you're using Google Colab , there's a built-in AI assistant called Gemini that can help you understand and write code but you need to know the right questions to ask it first.   1. NLP (Natural Language Processing) 🎤🎧 NLP is a branch of AI that helps computers understand and work with human language. Think of it as the technology behind things like chatbots, language translators, and voice assistants like Siri or Alexa. It allows machines to “read” and make sense of text or speech, just like we do. 2. BERT (Bidirectional Encoder Representations from Transformers) BERT is a special AI model developed by Google that ...

Learn Universal Communication By Learning Esperanto

1. Begin with the 16 “rules” of Esperanto and its simple grammar Start by immersing yourself in the concise foundational rules of Esperanto: its phonetic spelling , predictable affixation, and regular verb system make it far easier to grasp than many natural languages. For a clear overview of why Esperanto is easier to learn than typical languages, see Why Learn Esperanto? (Lingolia) which outlines its regularity and simplified grammar. ( esperanto.lingolia.com ) 2. Use a structured online course to build vocabulary and grammar Enroll in a free, guided Esperanto course such as Transparent Language’s Esperanto module (which offers vocabulary lists, interactive exercises and listening tasks) to build a solid grammar and vocabulary foundation. ( Transparent Language ) 3. Complement your lessons with the community platform Lernu! Pair your formal lessons with practice on Lernu! , the free multilingual Esperanto learning site, which offers exercises, multimedia, dictionaries, and a...