Overview  GitHub repositories provide hands-on learning of real-world MLOps workflows.Tools like MLflow, Kubeflow, and DVC show how scaling and tracking wo ...

Overview  Docker containers keep data science projects consistent across all systemsBest practices make Docker environments safe, light, and reliableDocker ...

We’ve put together a guide that breaks down the basics, from what Python is all about to how you can actually start using it. You can even grab a python tutorial pdf to have handy. So, whether you’re ...

The people closest to the data know the truth: messy, incomplete or poorly governed data cannot support effective AI. Yet ...

A python tutor offers personalized learning, adapting to your current skill level and learning pace. Finding the right python ...

The concept originates from mathematician George Boole, who in the 19th century developed an algebraic system of logic using only two values: true and false. In computer science, this binary way of ...

Databot is an experimental alternative to querychat that works with R or Python. And it’s now available as an add-on for the ...

This book is edited by Li Hui and Chen Yanyan, with associate editors Yang Yu, Gao Yong, Zhang Qiaosheng, Bi Ye, and Liu Dengzhi. It is rich in content, covering 32 theories and 32 practical cases, ...

This is the repo for Python for Data Science. This README is for developers and contributors. If you're here to read the book, head over to https://aeturrell.github ...

An open-source Python library for Data Scientists & Data Analysts designed to simplify the exploratory data analysis process. Using Edvart, you can explore data sets and generate reports with minimal ...