Image by Author | Canva   A strong portfolio is often the difference between making it and breaking it. But what exactly makes a portfolio strong? Numerous complicated projects? Slick design? Impressive data visualization? Yes and no. While these are necessary elements for a portfolio to be great, they’re elements so obvious that everyone knows…

Image by author | Canva   An interviewer's job is to find the most suitable candidates for the advertised position. In doing so, they will gladly set up SQL interview questions to see if they can catch you off guard. There are several SQL concepts at which candidates often fail. Hopefully, you’ll be one of…

Image by Author   Data science projects are notorious for their complex dependencies, version conflicts, and "it works on my machine" problems. One day your model runs perfectly on your local setup, and the next day a colleague can't reproduce your results because they have different Python versions, missing libraries, or incompatible system configurations. This…

Image by Editor (Kanwal Mehreen) | Canva   #  Introduction   Have you ever stared at a Python script full of loops and conditionals, wondering if there's a simpler way to get things done? I’ve been there too. A few years ago, I spent hours rewriting a clunky data-processing script until a colleague casually mentioned,…

Image by Author | ChatGPT   #  Introduction   When it comes to machine learning, efficiency is key. Writing clean, readable, and concise code not only speeds up development but also makes your machine learning pipelines easier to understand, share, maintain and debug. Python, with its natural and expressive syntax, is a great fit for…

Image by Author   #  Introduction   Stress testing is crucial for understanding how your application behaves under heavy load. For machine learning-powered APIs, it is especially important because model inference can be CPU-intensive. By simulating a large number of users, we can identify performance bottlenecks, determine the capacity of our system, and ensure reliability.…

Sponsored Content       Organizations that manage large volumes of data are increasingly turning towards artificial intelligence-backed solutions for efficient, scalable data governance and compliance. At the same time, many organizations still need to allocate extra resources to keep up with evolving regulatory requirements. In this guide, we’ll walk you through how to…

Image by Author | Ideogram   #  Once Upon a Time...   Data storytelling can be defined as the process of communicating insights from data through a compelling and structured narrative, turning raw figures and analytics into meaningful, captivating, and actionable stories. Data storytelling plays a crucial role in organizational and business decision-making, serving as…

Image by Author | Canva   #  Introduction   Traditional debugging with print() or logging works, but it’s slow and clunky with LLMs. Phoenix provides a timeline view of every step, prompt, and response inspection, error detection with retries, visibility into latency and costs, and a complete visual understanding of your app. Phoenix by Arize…

Image by Editor | ChatGPT   #  Introduction   Machine learning has become an integral part of many companies, and businesses that don't utilize it risk being left behind. Given how critical models are in providing a competitive advantage, it's natural that many companies want to integrate them into their systems. There are many ways…