Python Programming IV: Numerical Computing

COM SCI X 418.107

Numerical computing plays an essential role in data processing. Get an introduction to core numerical methods using Python. The Python package for numerical computing, Numpy, is used for implementing these methods.


What you can learn.

  • Perform numerical computations to transform data
  • Utilize Numpy to implement computational methods
  • Learn core algorithms for practical use with Python
  • Employ course material for real-world applications

About this course:

An important topic in data processing is performing numerical computations to transform the input data to certain output. While there are many different types of real-world applications, they share a relatively small number of common core algorithms. This course introduces these core numerical methods in a practical style using the Python language. The Python package for numerical computing, Numpy, is used for high-speed computation and for implementing these methods. Understanding of these fundamental methods is beneficial when the students apply the methods beyond this class. 
COM SCI X 418.104B Python Programming I or equivalent experience.

Contact Us

Our team members are here to help. Hours: Mon-Fri, 8am-5pm.

This course applies towards the following certificates & specializations…

Ready to start
your future?
By signing up, you agree to UCLA Extension’s Privacy Policy.

vector icon of building

Corporate Education

Learn how we can help your organization meet its professional development goals and corporate training needs.

Learn More

vector icon of building

Donate to UCLA Extension

Support our many efforts to reach communities in need.

Innovation Programs

Student Scholarships

Coding Boot Camp

Lifelong Learning