Faster Python Code
With Miki Tebeka
Liked by 3,192 users
Duration: 2h 4m
Skill level: Advanced
Released: 3/20/2018
Course details
By optimizing your Python code, you can ensure that your code uses fewer resources and runs faster than it did previously. In this advanced course, explore tips and techniques that can help you optimize your code to make it more efficient. Instructor Miki Tebeka covers general tools of the trade, including how to leverage the tools Python provides for measuring time, and how to use line_profiler to get line-by-line profiling information. Miki also shares how to pick the right data structures, how approximation algorithms can speed up your code, and how to use NumPy for fast numeric computation. He wraps up the course with a discussion of how to integrate performance in your process.
Skills you’ll gain
Earn a sharable certificate
Share what you’ve learned, and be a standout professional in your desired industry with a certificate showcasing your knowledge gained from the course.
LinkedIn Learning
Certificate of Completion
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Showcase on your LinkedIn profile under “Licenses and Certificate” section
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Download or print out as PDF to share with others
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Share as image online to demonstrate your skill
Meet the instructor
Learner reviews
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Troy M.
Troy M.
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Manusani vishweshwar
Manusani vishweshwar
Student at KL University
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Craig Trim
Craig Trim
Contents
What’s included
- Practice while you learn 1 exercise file
- Test your knowledge 8 quizzes
- Learn on the go Access on tablet and phone