Image by Editor | ChatGPT   #  Introduction   Data is a company's most significant resource, and insights from data could make the difference between profit and failure. However, raw data is hard to understand, so we visualize it in dashboards so non-technical people can better navigate it. Building a dashboard is not straightforward, especially…

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.…

Image by Editor | ChatGPT   Automation can feel like a choice between tools that are too simple to be useful or so complex they're intimidating. n8n bridges that gap. Building workflows is like connecting digital LEGO blocks. Each block (called a "node") represents a specific action or service, and you connect them together to…

Image by Author | Canva   #  Introduction   There is no doubt that large language models can do amazing things. But apart from their internal knowledge base, they heavily depend on the information (the context) you feed them. Context engineering is all about carefully designing that information so the model can succeed. This idea…

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 Author | Ideogram   #  Introduction   From your email spam filter to music recommendations, machine learning algorithms power everything. But they don't have to be supposedly complex black boxes. Each algorithm is essentially a different approach to finding patterns in data and making predictions. In this article, we'll learn essential machine learning…

Image by Author | Canva   #  Introduction   This is the second article in my beginner project series. If you haven’t seen the first one on Python, it’s worth checking out: 5 Fun Python Projects for Absolute Beginners. So, what’s generative AI or Gen AI? It is all about creating new content like text,…

Image by Author | Canva   What if there is a way to make your Python code faster? __slots__ in Python is easy to implement and can improve the performance of your code while reducing the memory usage. In this article, we will walk through how it works using a data science project from the…

Image by Author | ChatGPT   Introduction   Python's built-in datetime module can easily be considered the go-to library for handling date and time formatting and manipulation in the ecosystem. Most Python coders are familiar with creating datetime objects, formatting them into strings, and performing basic arithmetic. However, this powerful module, sometimes alongside related libraries…

Image by Author | ChatGPT   Of all the buzzwords to emerge from the recent explosion in artificial intelligence, "vibe coding" might be the most evocative, and the most polarizing. Coined by AI luminary Andrej Karpathy, the term perfectly captures the feeling of a new programming paradigm: one where developers can simply express an idea,…