Python NumPy: Scientific Computing with Python
Last Updated 10/2023
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Description
At the end of this course, you will have a thorough understanding of Numpy' s features and when to use them. Numpy is mainly used in matrix computing. We'll do a number of examples specific to matrix computing, which will allow you to see the various scenarios in which Numpy is helpful. There are a few computational computing libraries available for Python. It's important to know when to choose one over the other. Through rigorous exercises, you'll experience where Numpy is powerful and develop and understanding of the scenarios in which Numpy is most useful
System Requirements
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Python NumPy: Scientific Computing with Python
Python NumPy: Scientific Computing with Python
At the end of this course, you will have a thorough understanding of Numpy' s features and when to use them. Numpy is mainly used in matrix computing. We'll do a number of examples specific to matrix computing, which will allow you to see the various scenarios in which Numpy is helpful. There are a few computational computing libraries available for Python. It's important to know when to choose one over the other. Through rigorous exercises, you'll experience where Numpy is powerful and develop and understanding of the scenarios in which Numpy is most useful
Frequently Asked Questions
This course is designed for employees who need to complete Python NumPy: Scientific Computing with Python training
Yes. This course is designed to meet applicable federal requirements and commonly mandated state standards. Always confirm specific state or industry requirements with your local regulations.
The course takes approximately 60 minutes to complete and can be paused and resumed at any time.
Yes. Learners receive a downloadable certificate upon successful completion, which can be used for compliance records and audits.
Yes. You can assign this course to individuals or groups using Coggno’s LMS, or purchase multiple seats for your team.
Yes. This course can be exported for delivery in most learning management systems (SCORM compatible).
Yes. The course is fully self-paced and available 24/7.
Yes. This course includes a knowledge check to reinforce learning and verify completion.
Learners have lifetime access from the date of purchase.
Yes. A preview is available so you can review the course format and content before purchasing.
Yes. Content is reviewed and updated as regulations and best practices change.
Yes. This course is available for free with an active Prime Subscription.
Yes. Refund requests can be submitted within 30 days of purchase.
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