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Learning Python at the beginning feels deceptively simple. You write a few lines, the code runs, and it’s tempting to think you’ve got it. Then you try to build something on your own and… nothing works!? Turns out all the information you had learnt, didn’t find an outlet. That’s where challenging projects matter. Not flashy […]
Data science powers decision-making across modern businesses, from data preparation and automation to advanced analytics and machine learning. Learning it requires a strong foundation in mathematics, statistics, programming, and practical problem-solving. The good news is that data science can be self-learned with the right resources and consistent practice. Books remain one of the most effective
There is no shortage of resources available online and offline when it comes to learning Python. However, not all Python books are created equal. Some are best suited for beginners, while others are designed for experienced programmers or learners with specific goals. In this article, I have curated the best Python books across different categories
15 Best Python Books for Beginners to Advanced Learners [2026 Edition] Read More »
Just months after releasing M2—a fast, low-cost model designed for agents and code—MiniMax has introduced an enhanced version: MiniMax M2.1. M2 already stood out for its efficiency, running at roughly 8% of the cost of Claude Sonnet while delivering significantly higher speed. More importantly, it introduced a different computational and reasoning pattern, particularly in how
For different learning styles, goals, and comfort levels, finding a course that matches how you learn is HARD. Some people need visuals. While others wanna jump straight into code. Some need structure, others need flexibility. And many learners just want proof of effort at the end in the form of a certificate. This list is
The Python scientific visualisation landscape is huge. It is composed of a myriad of tools, ranging from the most versatile and widely used down to the more specialised and confidential. Some of these tools are community based while others are developed by companies. Some are made specifically for the web, others are for the desktop
With so much going on in tech nowadays, it might be hard for one to figure out where to begin. With learners having different preferences and requirements, catering to all of them might be a tall order. But this article is here to bridge that gap. This article will list 10 YouTube channels for 10
Mistral AI has introduced Devstral 2, a next generation coding model family for software engineering agents, together with Mistral Vibe CLI, an open source command line coding assistant that runs inside the terminal or IDEs that support the Agent Communication Protocol. https://mistral.ai/news/devstral-2-vibe-cli Devstral 2 and Devstral Small 2, model sizes, context and benchmarks Devstral 2
The new LiteRT NeuroPilot Accelerator from Google and MediaTek is a concrete step toward running real generative models on phones, laptops, and IoT hardware without shipping every request to a data center. It takes the existing LiteRT runtime and wires it directly into MediaTek’s NeuroPilot NPU stack, so developers can deploy LLMs and embedding models
Learning Objectives By the end of this article, you will: Automate export of VMware inventory and reports to CSV/Excel using PowerCLI. Use Python to parse, filter, and visualize VMware report data. Build a basic VM inventory dashboard in Python. Understand workflow visualization with an diagram. My Personal Repository on GitHub VMware Repository on GitHub Prerequisites
Exporting and Visualizing VMware Reports with PowerCLI and Python Read More »
