Data Visualization

, before there was Streamlit, before there was Taipy, there was Tkinter. Tkinter was and is the unique Python GUI builder, and, until just a few years ago, it was one among the few...

we cope with classification algorithms in machine learning like Logistic Regression, K-Nearest Neighbors, Support Vector Classifiers, etc., we don’t use evaluation metrics like Mean Absolute Error (MAE), Mean Squared Error (MSE) or Root...

You’ve written extensively about agentic AI and frameworks like smolagents and LangGraph. What excites you most about this emerging space? I first began exploring generative AI largely out of curiosity and, admittedly, a little bit...

is all over the place. There are countless books, articles, tutorials, and videos, a few of which I even have written or created.In my experience, most of those resources are inclined to present...

Data and politics have gotten increasingly intertwined. Today’s political campaigns and voter...

on a regular basis: This query is flawed from the start. An excellent project is personal to you, which implies any project I suggest will routinely be a “bad” selection. In this text, I aim to...

with calculating an application’s performance is that the real-world performance and theoretical performance can differ. With an ecosystem of products that's growing with high performance needs corresponding to High Performance Computing (HPC), gaming,...

is magical — until you’re stuck trying to come to a decision which model to make use of in your dataset. Do you have to go along with a random forest or logistic regression? What...