Python NumPy: Scientific Computing with Python


Fundamental scientific library for Python

This course will give you 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 used
  • Ability to install Numpy
  • Understanding of how to use Numpy

What’s Included?

Wiki_tick  Unlimited lifetime access
Wiki_tick  Access anywhere, any time
Wiki_tick  Fast effective training, written and designed by industry experts
Wiki_tick  Track your progress with our Learning Management System
Wiki_tick  Unlimited support
Wiki_tick  Save money, time and travel costs
Wiki_tick  Learn at your own pace and leisure
Wiki_tick  Easier to retain knowledge and revise topics than traditional methods

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