Optimization Techniques in Python
Kursus
90 Allerede tilmeldte studerende- Analyze and measure the performance of Python code to identify bottlenecks.
- Understand the fundamentals of timing and benchmarking to evaluate function efficiency.
- Explore the optimal use of Python data structures like lists, sets, tuples, and NumPy arrays for improved performance.
- Discover built-in tools such as map() and list comprehensions to write faster and more efficient code.
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Der er 3 moduler i dette kursus
Learn how to write faster and more memory-efficient code by mastering performance measurement, selecting the right data structures, and leveraging built-in tools. We'll focus on practical optimization techniques for handling large datasets, efficient string operations, and partial sorting, ensuring your code is both robust and scalable.Udvalgt af studerende fra de allerbedste skoler
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Kwizera Mugisha
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My first course was 4 hours, I did it in a few days, "nugget-style. The instructions are very clear and easy to understand. There is even a hint to help you get the answer, and if you still cannot get the answer, then you can display the answer. I love the learning style that is used, it engages me.
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I have really liked the browser-based lessons that allow me to code within the lesson. The RUN button allows me to test the code I write before submitting for a grade.
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