Image by Author   #  Introduction   Everyone knows what comes up in data science interviews: SQL, Python, machine learning models, statistics, sometimes a system design or case study. If this comes up in the interviews, it’s what they test, right? Not quite. I mean, they sure test everything I listed, but they don’t test…

Image by Author   #  Introduction   Data has become an indispensable resource for any successful business, as it provides valuable insights for informed decision-making. Given the importance of data, many companies are building systems to store and analyze it. However, there are many times when it’s hard to acquire and analyze the necessary data,…

Image by Author   When we talk about Python, we often think about using it to perform data analysis or build a machine learning model. It’s less common to discuss creating full web applications with Python outside of simple prototypes using libraries such as Streamlit or Taipy. However, a library called Reflex offers web application…

Image by Editor   #  Introduction   Seaborn is a statistical visualization library for Python that sits on top of Matplotlib. It gives you clean defaults, tight integration with Pandas DataFrames, and high-level functions that reduce boilerplate. If you already know Matplotlib and want faster, more informative plots, this guide is for you. The focus…

Image by Editor   #  Introducing ChatGPT Study Mode   Among the unending supply of AI-powered tools and features of late, ChatGPT Study Mode has captured the attention of students, educators, and lifelong learners. It promises to revolutionize study habits with personalized learning, interactive exercises, and on-demand explanations. Yet, as with any new technology, the…

Image by Author | ChatGPT   Machine learning has powerful applications across various domains, but effectively deploying machine learning models in real-world scenarios often necessitates the use of a web framework. Django, a high-level web framework for Python, is particularly popular for creating scalable and secure web applications. When paired with libraries like scikit-learn,…

Image by Author | Ideogram   #  Introduction   If you're building data pipelines, creating reliable transformations, or ensuring your stakeholders get accurate insights, you know the challenge of bridging the gap between raw data and useful insights. Analytics engineers sit at the intersection of data engineering and data analysis. While data engineers focus on…

Image by Editor | ChatGPT/font>   As large language models (LLMs) become increasingly central to applications such as chatbots, coding assistants, and content generation, the challenge of deploying them continues to grow. Traditional inference systems struggle with memory limits, long input sequences, and latency issues. This is where vLLM comes in. In this article, we’ll…

Image by Author | Ideogram   #  Introduction   You know the basics of Python's standard library. You’ve probably used functions like zip() and groupby() to handle everyday tasks without fuss. But here's what most developers miss: these same functions can solve surprisingly “uncommon” problems in ways you've probably never considered. This article explains some…

Image by Editor (Kanwal Mehreen) | Canva   #  Introduction   The Raku Programming Language is a modern, expressive, and versatile language designed with the goal of empowering developers to write clean, flexible, and powerful code. Although it began life as the long-awaited “Perl 6,” Raku has since grown into its own identity — an…