Faster Python Code

Faster Python Code

with Miki Tebeka
Electronic Video - 2018

Learn tips to help optimize your Python code. Discover how to pick the right data structures, use caching, integrate performance in your process, and more.

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التفاصيل البيبلوغرافية
مؤلف مشترك: linkedin.com (Firm)
مؤلفون آخرون: Tebeka, Miki (المتحدث)
التنسيق: الكتروني الفيديو
اللغة:English
منشور في: Carpenteria, CA linkedin.com, 2018.
الموضوعات:
الوصول للمادة أونلاين:View course details on linkedin.com/learning

MARC

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520 |a Learn tips to help optimize your Python code. Discover how to pick the right data structures, use caching, integrate performance in your process, and more. 
511 1 |a Presenter: Miki Tebeka 
520 |a 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. This course is integrated with GitHub Codespaces, an instant cloud developer environment that offers all the functionality of your favorite IDE without the need for any local machine setup. With GitHub Codespaces, you can get hands-on practice from any machine, at any time—all while using a tool that you’ll likely encounter in the workplace. Check out the “Using GitHub Codespaces with this course” video to learn how to get started. 
538 |a Latest version of the following browsers: Chrome, Safari, Firefox, or Internet Explorer. Adobe Flash Player Plugin. JavaScript and cookies must be enabled. A broadband Internet connection. 
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