Ever wondered why most websites, apps, and startups still choose MySQL, even though every dev forum praises PostgreSQL? Here’s a fun fact:Over 80% of the world’s top websites still use MySQL. That includes Facebook, YouTube, Netflix, and even PayPal. So if PostgreSQL is “better,” why do so many businesses still bet on MySQL? Short answer:Because […]
Why MySQL Is Better Than PostgreSQL? I bet you didn’t know this Read More »
Over 90% of data jobs still list SQL as a must-have skill—even in machine learning roles.At the same time, Pandas is downloaded over 60 million times a month, powering everything from Kaggle notebooks to billion-dollar ML pipelines. So… which one should you use?Or better—when should you use SQL over Pandas, and vice versa? I faced
SQL vs Pandas: Why Use SQL Over Pandas and Vice Versa Read More »
Ever tried to install sklearn and got weird errors? You’re not alone. Over 20,000+ people per month Google “sklearn vs scikit-learn” — all confused by what should be a simple import. Here’s the truth:👉 scikit-learn is the real Python package.👉 sklearn is just the namespace you import from. I made this mistake too.Back when I
Scikit-learn vs Sklearn: Here’s the Actual Difference Read More »
Did you know?Over 70% of AI developers use Python as their primary language.And more than 10,000 AI-related Python packages exist on PyPI today. Insane, right? But here’s the thing — only a handful of them really matter. If you’re building an AI solution — whether it’s a smart chatbot, a fraud detection model, or even
Popular Python libraries for AI development Read More »
PyTorch vs TensorFlow — stuck choosing between the two?You’re not alone. This question gets over 15,000 monthly Google searches — and it’s not just beginners asking. Even experienced devs go back and forth. Quick answer?PyTorch is loved for research and prototyping.TensorFlow is preferred for production and deployment. But that’s just surface-level. When I started learning
PyTorch or TensorFlow in 2025: Which Is Best for Your Projects? Read More »
When it comes to working with pandas DataFrames in Python, reordering columns is not just a minor cosmetic tweak—it’s a fundamental step to boost data readability and improve the analysis flow that every data scientist, analyst, or even a curious beginner craves. I remember working on a project where my DataFrame looked like a jumbled
