Python Basics for Math and Data Science 1.0: Numpy and Sympy

Free Certification Course Title: Python Basics for Math and Data Science 1.0: Numpy and Sympy

Learn to know how to use two interesting libraries in Python named Numpy and Sympy and solve mathematical problems in Py

Python Basics for Math and Data Science 1.0: Numpy and Sympy
Python Basics for Math and Data Science 1.0: Numpy and Sympy
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Requirements:

  • Yes, A basic knowledge in Python is preferred

What you’ll learn:

  • Mathematical calculations using Python 3

After completing this course, you’ll be able to

  • Create 2D Matrices (NumPy arrays) in Python
  • Access the elements, rows and columns of a NumPy array
  • Do matrix addition, multiplication, transpose operations in Python in a single line code
  • Inbuilt functions for statistical operations
  • Solve the linear equation with one unknown in python
  • Solve linear equations with two unknowns in python
  • Solve Quadratic and cubic equations in python
  • Differential Calculus in Python
  • Integral Calculus in Python –  Definite and Indefinite Integrals
  • and a lot more stuff.

Who this course is for:

  • Beginner Python developers

Created by Sujithkumar MA

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How to Subscribe for Python Basics for Math and Data Science 1.0: Numpy and Sympy?

  1. Sign Up on Udemy.com
  2. Subscribe Here(Python Basics for Math and Data Science 1.0: Numpy and Sympy): Click Here

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