Automating Real-World Tasks with Python https://www.coursera.org/learn/automating-real-world-tasks-python/home/module/1
https://www.coursera.org/learn/automating-real-world-tasks-python/home/module/1 Module 1 Course introduction Module 1 Welcome to the Course! Module 1 Module 1 Introduction understand how to read Python APIs, and learn how to use the Python Imaging Library (PIL) Module 1 Distributed systems Key takeaways Distributed systems are crucial in various applications, but require careful design and management to address their complexities and potential challenges. Definition of distributed systems - A distributed system is a collection of software components that collaborate across separate servers or nodes, often using a shared network. These systems aim to eliminate bottlenecks and single points of failure by distributing tasks and functions across multiple components. Characteristics of distributed systems - Distributed computing systems exhibit several key characteristics, including resource sharing, error detection, transparency, simultaneous processing...