These are my go-to libraries for Python data crunching.

This project analyzes retail sales performance using the Sample Superstore dataset. The objective is to explore business performance, identify sales and profitability trends, evaluate regional ...

Publication-quality matplotlib/seaborn charts from a one-line prompt. Colorblind-accessible, despined, annotation-rich figures using DejaVu Sans, cubehelix/ColorBrewer palettes, and whitegrid styling.

The power of Python trumps Excel workbooks.

Use Python libraries—developed for Python users of all experience levels—to clean up, explore, and analyze data within the familiar, secure Excel environment. No need to install anything. Anaconda is ...

Overview:  Learn the 10 most frequently asked data visualization interview questions along with practical sample answers.Understand what recruiters expect ...

Code that works perfectly locally (on macOS) goes silent the moment it is deployed to a production Docker container. This is a common sight in solo development. This time, I fell into this classic ...

Eight-month live online programme by CEC, IIT Roorkee equips professionals to build applied expertise across Python, machine learning, deep learning, MLOps, LLMs and Generative AI ...