Tools like Polars, Dask, and Sweetviz simplify data cleaning, modeling, and visualization. Learning new Python libraries improves project quality and ... libraries are essential for machine learning ...

These questions come from my Udemy training and the certificationexams.pro website, resources that have helped many students pass the DP-100 certification. These are not DP-100 exam dumps or ...

Drumil Joshi's AI forecasts renewable energy with 1-2% error and predicts water waste for scalable conservation.

This repository serve as a reference guide for creating various types of data visualizations using Python. It will feature over 25 visualizations.

GitHubHero is a Dockerized Python app using FastAPI, Streamlit, and Plotly to analyze and display your language trends and contributions via GitHub GraphQL API This repository serve as a reference ...

The San Francisco tech job market is seeing fewer layoffs but still has a high office vacancy rate, creating a unique environment for job seekers. Emerging fields like AI, cloud computing, and ...

Today's GPS smartwatches and other wearable devices give millions of runners reams of data about their pace, location, heart rate and more. But one thing your Garmin can't measure is plain old physics ...

Abstract: Jupyter notebooks have become central in data science, integrating code, text and output in a flexible environment. With the rise of machine learning (ML), notebooks are increasingly used ...

The Purchaser Business Group on Health is launching a massive data project that aims to make it easier for employers to get their arms around what they're actually paying for healthcare. The ...

The Perspective by Tiwary et al. (8) offers a comprehensive overview of generative AI methods in computational chemistry. Approaches that generate new outputs (e.g., inferring phase transitions) by ...