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Learn how to use Python decorators to measure function execution time, enhancing debugging and performance analysis. This tutorial provides a clear explanation for intermediate learners.
python
Python is a high-level, interpreted programming language known for its simplicity and readability. It’s widely used for web development, data science, automation, artificial intelligence, and more. Its syntax is clear and concise, making it beginner-friendly, while its versatility supports complex applications. Python has a vast ecosystem of libraries and frameworks, like NumPy, Pandas, Django, and Flask, which extend its capabilities. It’s open-source, cross-platform, and supports multiple programming paradigms, including object-oriented, functional, and procedural styles.
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This blog post dives into asynchronous programming with aiohttp for web requests and Python 3.11's task groups for concurrent execution, ideal for intermediate learners. -
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This guide demonstrates how to quickly create a basic Flet application using templates, leveraging `flet` and `flet create`. It's perfect for beginners wanting a fast start. -
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Learn how to add an additional field to Ninja API responses in Django