The Legit Baines Blog

I'm Trying to Get Better at Everything (and Accidentally Building another IoT Network at the same time) I don’t really know where I’m going in tech yet — and for a while, that bothered me. There are so many different paths: backend engineering, embedded systems , web development, networking… and it feels like everyone else has already picked a lane.  I’m trying to see that as a strength rather than a weakness. Instead of specialising too early, I’ve been focusing on getting better at as many areas as I can. Not in a scattered way, but by building things, testing them and testing myself as I go. One of the best examples of that mindset has been my recent dive into IoT . How I've Ended Up Building another IoT System Someone told me about their business idea and it involves IOT which was a big part of my course at Hallam University so I told him that I'm probably the ideal person to build him a prototype IoT system that he can present to his potential funders.  He knows more ...

Hallam University Taught Me New Things Plus Also How to Learn Even More Now that I've finished my university journey, I’ve been reflecting on how much I’ve grown, not just in terms of knowledge, but in the very process of learning itself. University has opened my eyes to entire worlds of technology I never imagined exploring, from databases to Artificial Intelligence (AI), and from the Internet of Things (IoT) to programming. But what stands out most to me is how university has taught me not just new things, but also how to learn new things, even on my own. The New Things I’ve Learned When I first walked into university, I had a basic understanding of technology and programming. But the subjects I’ve encountered throughout my studies have completely transformed my perspective on what is possible. Here are just a few of the most exciting things I’ve learned: 1. Databases Learning about databases has shown me how the power of data is structured, stored, and retrieved. I never tr...

Baines is on a path of continuous personal development, his next target is the programming language C++  💪💪💪  I’ve always believed that growth happens when you deliberately step outside your comfort zone. That’s exactly why I’ve started learning C++. I’m constantly looking for ways to raise my programming game to the next level, and C++ feels like a natural progression—especially as I continue aiming for a future in embedded systems . Even though I haven’t yet had my big break into the professional embedded world, I want to be ready when the right opportunity appears. Preparation meets opportunity-that’s the goal. C++ is powerful, fast, and close to the hardware, which makes it ideal for embedded development. It forces you to think more carefully about memory, performance, and system design. That challenge is exactly what attracts me. I don’t just want to write code that works-I want to understand what’s happening under the hood. By building a strong foundation in C++, I’m...

 Becoming an IT Graduate as a Mature Student: The Reality No One Talks About Going to university as a mature student was one of the hardest and most rewarding things I’ve ever done. Studying IT later in life meant juggling responsibilities, self-doubt, and the pressure of starting again in a completely new industry. Graduating felt like a huge achievement. But stepping into the job market as a new IT graduate who isn’t new to work at all came with its own set of challenges. What I quickly realised is that breaking into IT as a mature graduate isn’t just about technical skills. It’s about confidence, reframing experience, and learning how to tell your story in a way employers understand. Sheffield Hallam University Challenging the Assumptions of Employers and Recruiters One of the first hurdles I encountered was assumption. There’s a quiet expectation in some recruitment processes that a “graduate” is young, fresh out of university, and at the very start of their working life. ...

  One Problem, Loads of Solutions One of the things I love most about computer programming is that there’s rarely just one “correct” way to solve a problem. Give ten developers the same task and you’ll likely get ten different solutions - all of which might work perfectly well. In programming, the how often matters less than the does it work . The approach you choose is shaped by your own technical background, the time you have available, and the resources you can realistically access. If your solution works, then it works and you weren’t wrong just because someone else took a different route to get to the same destination. That’s something worth remembering, especially when comparing projects or reading other people’s code. A different solution doesn’t automatically mean a better or worse one; it just means different constraints, priorities, or preferences were at play. One developer might prioritise speed of development, another long-term scalability, and another simplicity or...

What is Bar Billiards? Bar Billiards Auto-Score Project Outline BB Auto-score code on git hub. 🏆🏆🏆 Stage 1 of my Bar Billiards Auto-Score Project is complete.  It's not rocket science but my method for making progress is to go step by step.  If I can do something straight away I'll do it then make incremental progress.  Whenever I'm working on a new kind of project that involves doing things I haven't done before and using technologies that I haven't used before I try to simplify it as much as I possibly can just so I can get something working.  It's a lot easier to start with something small and simple that works than something big and expansive that isn't working.  When it's new, big, complicated and not working it will be incredibly difficult to work out what's gone wrong. 💻💾📈 Python command line is about as simple as it gets, I've done it this way because this is what's required for this project.  The next step will involve getting ...

Why Would I be the Ideal Solutions Architect? 🤔🤔🤔🤔🤔🤔🤔🤔🤔🤔 In today’s fast-moving technology landscape, organisations need more than just technical expertise - they need strategic thinkers who can bridge the gap between business goals and technical reality. A Solutions Architect must translate complex requirements into efficient, scalable, and maintainable systems, while communicating effectively with technical teams and stakeholders alike. I believe my journey — from a mature computing student at Sheffield Hallam University to a creative problem-solver with hands-on experience in software, hardware and real-world projects - uniquely positions me for this role. A Solid Technical Foundation My journey into tech wasn’t traditional — I returned to study computing as a mature student, driven by curiosity and a passion for solving problems in elegant, efficient ways. On my GitHub profile , I describe myself as “The Man of Many Moments” — which reflects both my varied interests in...

1. Why a Proper Setup Matters Before diving into code, a structured setup helps you avoid “spaghetti” projects that become hard to maintain. Using a virtual environment ensures your dependencies are isolated (so you don’t clash with system Python or other projects). Having a clear skeleton (separating imports, variables, functions, and “main program logic”) gives you and future readers a map of where each piece lives. Many software engineering experts emphasize that good architecture up front can save you enormous friction later — clean structure is one of the foundations of maintainability . ( Ciklum ) 2. Creating a Virtual Environment  💾💻💹 Here’s a typical workflow: Open your terminal / command prompt in your project folder (or create a new folder). Run (for Python 3): python3 -m venv venv This creates a directory venv/ (or whatever you name it) containing the isolated Python environment. Activate it: On macOS / Linux: source venv/bin/activate On Window...

Stay Focused on Raising Yourself to the Next Level Software Development  In the world of tech, it's easy to fall into the trap of comparing yourself to others. Maybe it's the developer on your team who seems to solve problems twice as fast, or that person on Twitter who contributes to five open-source projects and still has time for a blog and a podcast. But the truth is, trying to be the “best” in class is a moving target—and a distracting one. A more sustainable and rewarding mindset is to focus on raising your own level, day by day. Progress, not perfection, is what actually moves you forward. One of the most powerful habits in tech is deliberate practice . It's not just about writing more code; it's about writing it thoughtfully, reflecting on what went wrong, and iterating. Whether you're learning a new language, framework, or debugging a tricky issue, take time to understand why things work the way they do. Set mini-goals for yourself like “understand closur...

  I Graduated with a 2:1 in Computing from Sheffield Hallam University! I'm incredibly proud to share that I’ve officially graduated from Sheffield Hallam University with a 2:1 in BSc Computing! It’s been a challenging, rewarding, and ultimately fulfilling journey, and I’m grateful for all the experiences, both technical and personal, that have shaped me along the way. From learning core computing principles to diving deep into specialist areas, my time at university has equipped me with the tools and confidence to move forward in the tech world. One of the standout modules for me was Data Management. I found it fascinating to explore how data is structured, stored, and retrieved, and how good design can make or break the efficiency of a system. This module really laid the groundwork for many of my later projects, giving me the practical skills and theoretical understanding to handle data effectively and responsibly—something that proved crucial in my final year work. My Artific...

Unlocking the Power of Data Analysis: Tools and Techniques for Understanding User Feedback Data analysis is the backbone of decision-making across countless industries, providing insights that drive business strategy, marketing decisions, and customer experience improvements. With the explosion of user-generated content on platforms like YouTube, analyzing user comments has become a powerful tool to understand public sentiment, track brand reputation, and improve user engagement. Step 1: Data Collection – Pulling User Comments from YouTube Before any analysis can happen, we first need the data. In the case of YouTube, user comments are stored publicly on each video. To collect them, we use the YouTube Data API . This API allows us to programmatically retrieve comment data, such as the text of the comments, the date posted, and user metadata (like user ID or username). Here’s how it works: Set up the API : First, you’ll need to create a project on the Google Cloud Console, enab...