Distributed systems, which involve multiple components running on different servers or even different data centers, are notoriously challenging to manage due to issues like network latency, failure handling, data consistency, and more. Temporal.io provides a framework that abstracts away many of these complexities, allowing developers to focus more on business logic rather than the intricacies of distributed system coordination and state management. Temporal.io's Python SDK offers developers the tools to build applications using the Temporal platform with Python. The Python SDK lets developers define activities and manage their execution, including retries and error handling. In this session we will show you how the temporal.io Python SDK is a powerful tool for developers looking to build distributed applications and systems, offering a combination of reliability, scalability, and fault tolerance that is hard to achieve with traditional approaches.