Covers core principles and theory behind async programming in Python for a solid foundation
Provides practical examples and real-world use cases to enhance learning and application
Explains how to measure the impact of async techniques and optimize I/O-intensive programs
Focuses on applying async patterns to common cloud-based systems and Python libraries
Includes tools and strategies for testing, debugging, and profiling asynchronous code
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Take a practical journey through the core principles, concepts, and applications of asynchronous programming in Python across real-world environments and technologies. Key Features: - Understand core principles and theory behind async programming in Python - Measure the impact of asy