Design and development often feel like two different worlds. The challenge is always the same: how do we bridge the gap between a static design file and a fully functional React component? I’ve faced this problem many times. Whether I was building dashboards for U.S. healthcare startups or creating e-commerce platforms for local retailers, the … Read more >>
Working on a React project in the USA, I often need to give users the option to select multiple values from a list. Whether it’s choosing states, filtering product categories, or selecting skills in a job application form, a multi-select dropdown is one of the most practical components I’ve built and reused over the years. … Read more >>
I often find myself working with different technologies beyond just Python. One of the most exciting frameworks I use today is React.js. It allows me to build interactive user interfaces that feel modern and smooth. I needed to create a custom input component in React for a project. The built-in HTML input worked fine, but … Read more >>
When I was working on a data visualization project for a client in the USA, I had to prepare multiple charts for a business dashboard. The issue was that the axis labels and titles were getting cut off because the margins at the bottom and right side were too tight. That’s where the subplots_adjust() function … Read more >>
While I was working on a Python project, I needed to visualize sales growth data for different U.S. states. I wanted each line to show a dashed pattern with markers at specific points. At first, I thought this would be a bit tricky. But once I explored the options in Matplotlib, I realized Python makes … Read more >>
Recently, I was working on a Python data visualization project where I had to create multiple charts in one figure. The issue I faced was that the subplots were too close to each other, making the labels and titles overlap. It looked messy and unprofessional. If you have worked with Matplotlib in Python, you might … Read more >>
I’ve often needed to display multiple images side by side. Whether I was preparing a report for a client or analyzing satellite data for a project, one tool always came to my rescue: Matplotlib. Matplotlib is one of the most powerful Python libraries for data visualization. What many people don’t realize is that it is … Read more >>
I first started working with Matplotlib in Python, and I often struggled with subplot layouts. Sometimes my charts would overlap, or the spacing just didn’t look professional. After more than 10 years of experience as a Python developer, I’ve realized that two powerful tools can completely change the way you design subplots: Gridspec and grid … Read more >>
I often work with Python visualizations where multiple subplots are involved. I’ve realized that the way subplot titles are styled makes a huge difference in readability. I used the default settings for subplot titles in Matplotlib. But soon I noticed that the titles often overlapped with the plots or didn’t look aligned properly. That’s when … Read more >>
Recently, I was working on a project where I needed to merge two separate lists into a dictionary in Python. At first, I thought of using the zip() function or the dict() constructor, but then I realized I wanted to do it without relying on any built-in shortcuts. I often find myself exploring problems like … Read more >>