Baines Blogging

  My Multi-project Method I have developed a method for dealing with procrastination and I have named it “My Multi-project Method”.   🕐🕑🕒🕓🕔🕕🕖🕗🕘🕙🕚 I procrastinate on a project by working on a different project.  I will always do what needs to be done in time but if I’m leaving a task to the last possible moment then I may as make that time productive by working on one of my other projects.  If I’m avoiding my emails I’ll procrastinate on that task by updating my CV.  Whenever I’m working on my githubpages.io site I’ll make progress for a while before I hit a wall so instead of doing no work at all I’ll step back from that project to work on one of my Python based projects instead.  Sometimes stepping back from a project for a few days or even a week can give me a better perspective on it when I get back into working on it. 📤📥📤📥📠📟📡💾💽💻💻💻💻💻💻 My current projects include: Working with PostgreSQL Databases. My Python based imperial u...

  5 Reasons Why AI Tools Can Be Useful — And 5 Reasons Why AI Is Becoming a Bubble Artificial intelligence has quickly become the center of global attention. It promises efficiency, creativity, automation, and entirely new business models. But as the hype grows louder, so do concerns that we may be entering bubble territory — a cycle of inflated expectations, overinvestment, and unrealistic assumptions about what AI can deliver. Below is a balanced look at both sides: why AI tools truly are useful, and why the current boom may be a bubble in the making. 5 Reasons Why AI Tools Can Be Useful 1. They dramatically speed up repetitive work From drafting documents to generating code templates, AI automates time-consuming tasks. This frees humans to focus on higher-level judgment, strategy, or creativity. 2. They democratize access to advanced capabilities You no longer need to be a programmer, designer, or data scientist to perform tasks once reserved for specialists. AI expands...

 💻💻💻 Staying health- and safety-aware can be surprisingly difficult when your job keeps you glued to a screen, focused on reports, dashboards, and deadlines. These simple but effective tips will help you protect your wellbeing while maintaining productivity. 1. Prioritize Proper Desk Ergonomics 💺💺💺 Set up your chair, monitor, and keyboard so your body stays in a neutral, supported position—this reduces strain on your neck, shoulders, and back. 2. Follow the 20-20-20 Rule for Eye Health Every 20 minutes, look at something 20 feet away for 20 seconds to reduce eye strain from extended screen time. 3. Take Scheduled Micro-Breaks Short, regular breaks improve your comfort and concentration—set reminders to stand, stretch, or walk for a minute or two. 4. Keep Your Workspace Clutter-Free A tidy area prevents trip hazards, spilled drinks on electronics, and the stress that comes from a chaotic environment. 5. Stay Hydrated Throughout the Day Drinking enough water keeps yo...

  Test Yourself then Check Yourself Pushing myself to grow has always been at the heart of my journey through the world of IT, computing, and data analytics. These fields evolve at lightning speed, and I’ve learned that staying still is the fastest way to fall behind. Whether it’s a new programming concept, a data modeling technique, or a tool I’ve never touched before, I’m constantly seeking out ways to stretch my abilities. But with that drive comes a responsibility to recognize when I’m approaching my limits. The tech world can be intense, and curiosity can quickly turn into overload if I’m not careful. Early on, I realized that challenging myself doesn’t mean pushing to exhaustion—it means being intentional about growth, not reckless. 🙏🙏🙏 One of the biggest influences on how I manage that balance came from an extracurricular course I once took: “Connecting with Yourself on a Spiritual Level.” It might sound far removed from coding or data analytics, but the meditation te...

  Imperial measurement system converter app  I decided to spend an evening making a unit converter app without using an api to do the heavy lifting for me *and* with a python based gui because I haven't really made anything with one of them before and this is the result: 👍👍👍      I installed Tinkter to get the GUI ( graphical user interface ) This is the GUI it produces when it's running.     The next job is to tidy up the code, it needs it.  Then I want to add some more functionality to it.  I can add volume conversion or weight .  I've always wanted to do some research into old money so I can add that to the app. After I've added a bit more functionality to it I'll find a way to host it on the public internet.     This is my advice to any other programmers out there:  Once you've got something working make the most of it because it's easier to add things onto something that's already working than startin...

  Let’s be honest — when people hear “data analysis” , they often picture spreadsheets, endless rows of numbers, and someone yawning behind a laptop at 2 a.m. But that’s a myth. Data analysis isn’t dull — it’s detective work, creativity, and storytelling rolled into one. If you’ve ever dismissed it as boring, it’s time to think again. Here are 7 reasons why data analysis is anything but boring: 1. You Get to Solve Real-World Mysteries Data analysts are like modern-day detectives. Every dataset hides clues that reveal why something happened or how it could change. Whether it’s uncovering why sales dipped last quarter or predicting the next big trend, you’re constantly piecing together a puzzle — and few things are more satisfying than cracking the case. 2. It’s a Gateway to Understanding Human Behavior Data tells stories about people — what they buy, how they think, where they spend their time. Analysing data gives you a front-row seat to human patterns and decision-making...