Python NumPy: Scientific computing with Python

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Python NumPy: Scientific computing with Python. The fundamental package for scientific computing with Python

50,00  10,00 

The name of this course is Python NumPy: Scientific computing with Python. The knowledge you will get with this indescribable online course is astonishing. The fundamental package for scientific computing with Python.
Not only will you be able to deeply internalize the concepts, but also their application in different fields won’t ever be a problem. The instructor is Stone River eLearning, one of the very best experts in this field.

Description of this course: Python NumPy: Scientific computing with Python

Course 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. Express fully why Numpy should be usedAbility to install Numpy Understanding of how to use Numpy

Requirements of this course: Python NumPy: Scientific computing with Python

What are the requirements? Some Python experience Some experience working with matrices will be helpful

What will you learn in this course: Python NumPy: Scientific computing with Python?

What am I going to get from this course? Express fully why Numpy should be used Ability to install Numpy Understanding of how to use Numpy

Target audience of this course: Python NumPy: Scientific computing with Python

Who is the target audience? Those wanting to know about Python libraries helpful for computational computing