Image by Author | Canva   Python is widely known for its popularity among engineers and data scientists, but it’s also a favorite choice for web developers. In fact, many developers prefer Python over JavaScript for building web applications because of its simple syntax, readability, and the vast ecosystem of powerful frameworks and tools…

Image by Author | Ideogram   Let's be honest. When you're learning Python, you're probably not thinking about performance. You're just trying to get your code to work! But here's the thing: making your Python code faster doesn't require you to become an expert programmer overnight. With a few simple techniques that I'll show you…

Image by Author | Canva   Do you think only mathematicians and software engineers can work in AI? Well, you’re wrong if you do. Many people who are successful in data science and AI don’t have a tech background. So, yes, you can transition into AI even if you have started your career in,…

Image by Author | Canva   If you like building machine learning models and experimenting with new stuff, that’s really cool — but to be honest, it only becomes useful to others once you make it available to them. For that, you need to serve it — expose it through a web API so that…

Image by Author | ChatGPT   Introduction   Creating interactive web-based data dashboards in Python is easier than ever when you combine the strengths of Streamlit, Pandas, and Plotly. These three libraries work seamlessly together to transform static datasets into responsive, visually engaging applications — all without needing a background in web development. However, there's…

Image by Author | Canva   Navigating and understanding large codebases can be challenging, especially for new developers joining a project or when revisiting older repositories. Traditional methods of understanding code structures involve reading through numerous files and documentation, which can be time-consuming and error-prone. GitDiagram offers a solution by converting GitHub repositories into interactive…

Image by Editor | Midjourney   While Python-based tools like Streamlit are popular for creating data dashboards, Excel remains one of the most accessible and powerful platforms for building interactive data visualizations. Using built-in Excel's features, you can build an interactive dashboard that rivals popular data science web apps. In this tutorial, we will show…

Image by Author   Claude Opus 4 is Anthropic's most advanced and powerful AI model to date, setting a new benchmark for coding, reasoning, and long-running tasks. It can autonomously handle complex, multi-hour tasks, maintaining focus and delivering exceptional results over thousands of steps. In this tutorial, we will learn how to use Claude Opus…

Image by Author   DeepSeek-R1-0528 is the latest update to DeepSeek's R1 reasoning model that requires 715GB of disk space, making it one of the largest open-source models available. However, thanks to advanced quantization techniques from Unsloth, the model's size can be reduced to 162GB, an 80% reduction. This allows users to experience the…

Sponsored Content       Traditional data platforms have long excelled at structured queries on tabular data - think “how many units did the West region sell last quarter?” This underlying relational foundation is powerful. But with the growing volume and importance of multimodal data (e.g. images, audio, unstructured text), answering nuanced semantic questions…