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.

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, ...

A practical and beginner-friendly repository for learning Python for Data Science. This collection includes hands-on Jupyter Notebooks covering essential Python concepts used in data analysis, machine ...

Community driven content discussing all aspects of software development from DevOps to design patterns. Ready to develop your first AWS Lambda function in Python? It really couldn’t be easier. The AWS ...

Kubernetes operators tutorial for beginners. Welcome to Day 50 of the CKA 2025 series. In this video, we will deep dive into Kubernetes Operators. SEIU leader charged with 'conspiracy to impede an ...

In any Tkinter program, the first thing you need is a window. This window will act as a container for your app. This line brings the Tkinter library into your program. We give it the nickname tk so we ...

Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...