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Faster Python Code Preview

Faster Python Code

With Miki Tebeka Liked by 3,366 users
Duration: 2h 5m Skill level: Advanced Released: 3/20/2018

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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.

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.

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.

Sample certificate

Certificate of Completion

  • Showcase on your LinkedIn profile under “Licenses and Certificate” section

  • Download or print out as PDF to share with others

  • Share as image online to demonstrate your skill

Meet the instructor

Learner reviews

4.6 out of 5

152 ratings
  • 5 star
    Current value: 107 70%
  • 4 star
    Current value: 31 20%
  • 3 star
    Current value: 8 5%
  • 2 star
    Current value: 3 2%
  • 1 star
    Current value: 3 2%
  • Sanju Kumar Sanju Kumar

    Sanju Kumar

    Building a full-stack web app with React, Python (Flask/Django), and PostgreSQL—focused on clean UI, scalable backend, secure REST APIs, and…

    4/5 January 14, 2025
    its good experince
    Helpful · Report
  • Mashrur Hyder Mashrur Hyder

    Mashrur Hyder

    Machine Learning 🤖| Deep Learning 🧠| Cloud Computing ☁️| Software Development 👨💻| Python 🐍| Java ☕| Linux 🐧| IoT 🛜| Data Structures &…

    5/5 May 29, 2024
    This is an amazing resource for someone like myself who is trying to actively think about optimizing my coding practices.
    Helpful · Report
  • Phillip Schmidt Phillip Schmidt

    Phillip Schmidt

    Sr. Staff Computer Vision Systems Engineer @ Qualcomm

    5/5 March 24, 2023
    many useful tips beyond cython and numba
    Helpful · Report

Contents

What’s included

  • Test your knowledge 8 quizzes
  • Learn on the go Access on tablet and phone

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