23097_PYTHON FOR MATHEMATICS

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About Course

Python is a popular language and widely used in many areas due to versatile in nature. This course focuses on to add a new feather to your cap through gaining a new skill. Additionally, if you are hesitant to take up due to your background not being in computer science, well then,  this shouldn’t stop you. Python can help you achieve your academic, professional, and may be sometimes personal goals. Instructions and illustrations will be simple. It can help you improve your understanding and aptitude skills. Mathematics with Python will be a new dimension that you will explore in this course. You will appreciate the beauty of equations when visualized.

During the course, you will have concept videos, practice questions, quizzes, course challenges (Program), unit tests and Final assessment. Candidate is required to complete all the mandatory questions/quizzes inorder to avail completion certificate. Candidate can also give a try to optional items of the course.

This course will be conducted by Mr Larson Monteiro, an external faculty, from the IT industry in collaboration with the Department of UG Mathematics, St Aloysius College(Autonomous), Mangalore.

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What Will You Learn?

  • A 21st century skill
  • Coding Knowledge
  • Career advantage in Technology
  • Aptitude skill

Course Content

Module 1: ABC’s of Python

  • Introduction to the course
    00:00
  • Introduction to Python
    00:00
  • How to download and install Pyton
    00:00
  • Additional References
    00:00
  • Python Syntax, indentation and comments
    00:00
  • Assignment I
  • Additional References II
    00:00
  • How to execute python file
    00:00
  • Python Statements
    00:00
  • Assignment 2
  • Python Variables
    00:00
  • Python Data type Part 1
    00:00
  • Python Data type Part 2
    00:00
  • Python Data type Part 3
    00:00
  • Mathematical operator
    00:00
  • Assignment and Logical operators
    00:00
  • Comparision Operator and Precedence
    00:00
  • Operators exercise and Input statement
    00:00

Module 2: Building structures of Python

Module 3: Advancing in Python

Module 4: Overview of Matplotlib & Numpy

Final Assessment

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