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Computational computing can be a complex topic. How to perform various mathematical functions in code isn't straight forward.

With Python's Scipy library, we'll walk through a number of examples showing exactly how to create and execute complex computational computing functions.

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Unlock exclusive learning opportunities with the Python SciPy: The Open Source Python Library – Stone River eLearning course at esys[GB]. Explore expert insights, advanced techniques, and practical applications from world-renowned instructors in your chosen field. Empower your growth and career with our curated collection of over 70,000 courses from top authors such as John Overdurf, Conor Harris, Tony Robbins, Dr. Joe Dispenza, and more.

Python SciPy: The Open Source Python Library

Advanced scientific library for Python

42c5d9cd4030b7384712624e307b4f51e69b3249 - eSys[GroupBuy]

Computational computing can be a complex topic. How to perform various mathematical functions in code isn't straight forward.

With Python's Scipy library, we'll walk through a number of examples showing exactly how to create and execute complex computational computing functions.

The course starts with an explanation of what Scipy is. Then we see how to install it. From there, we get into simple mathematical computations and and move into more advanced computations. The last few lessons demonstrate the full capabilities of Scipy.

Scipy is for those that need to perform rigorous, complex computations and not have the program bog down computing them. If you're ready to see how to create even the most complex mathematical functions in code, this course is for you.

Course Curriculum

SciPy

  • Module Introduction (1:37)
  • Basic Computations (7:56)
  • Complex functions (8:23)
  • Integrals (11:07)
  • Double Integrals (3:13)
  • Statistics (10:06)
  • Project (Linear Algebra) (8:59)
  • Module Summary (1:06)

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Python SciPy The Open Source Python Library - eSys[GroupBuy]
Python SciPy: The Open Source Python Library – Stone River eLearning
Original price was: $29.00.Current price is: $15.00. Add to cart