St Aloysius (Deemed to be University) LMS

Course / Course Details

PYTHON FOR MATHEMATICS

By - Ms Melvita Leema Baretto
59 students
30 Hours
(0)

Course Requirements

A student should possess basic computer literacy.
No prior programming language knowledge is required.

Course Description

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 in order 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 Mathematics, St Aloysius (Deemed to be University), Mangaluru.

Course Outcomes

At the end of the course learners will be able to:

Ø Gain a strong understanding of Python programming language, including its syntax, data structures, and control flow, enabling them to write efficient and effective code.

Ø Develop skills in numerical computation, including performing mathematical operations, solving equations, and manipulating data using Python libraries such as NumPy and SymPy.

Ø Develop strong problem-solving skills, learning to formulate problems, design algorithms, and implement solutions using Python.

Ø Develop algorithmic thinking skills by designing and implementing algorithms to solve mathematical problems efficiently in Python, fostering computational thinking and problem-solving abilities.

Course Curriculum

5 chapters
39 lectures
4 quizzes
30 Hours total length

Toggle all chapters

1 Introduction to the course

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2 Operators exercise and Input statement

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3 Comparision Operator and Precedence

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4 Assignment and Logical operators

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5 Mathematical operator

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6 Python Data type:Part 3

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7 Python Data type Part 2

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8 Python Data type Part-1

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9 Python Variables

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10 Python Statements

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11 How to execute python file

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12 Python Syntax, indentation and comments

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13 How to download and install Python

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14 Introduction to Python

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1 List

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2 Tuple and Set

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3 IF, Else control statement

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4 while loop

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5 For Loop

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6 Dictionaries

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7 problems

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1 Functions

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2 lambda and scope

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3 File handling

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4 math libraries

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5 String Methods

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6 Problems

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1 Introduction to Matplotlib

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Marker notation Marker Description 'o' Circle '*' Star '.' Point ',' Pixel 'x' X 'X' X (filled) '+' Plus 'P' Plus (filled) 's' Square 'D' Diamond 'd' Diamond (thin) 'p' Pentagon 'H' Hexagon 'h' Hexagon 'v' Triangle Down '1' Tri Down '2' Tri Up '3' Tri Left '4' Tri Right '|' Vline '_' Hline Available Colour schema with Matplotlib Color Syntax Description 'r' Red 'g' Green 'b' Blue 'c' Cyan 'm' Magenta 'y' Yellow 'k' Black 'w' White plt.plot(ypoints, marker = 'o', mfc = 'r') ------> Command to adjust the marker colour plt.plot(ypoints, colour = 'r')---------> Command to adjust the line colour

2 Matplotlib part 2

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3 Matplotlib Part 3

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4 Introduction to NumPy

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5 Introduction to NumPy 2

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6 Introduction to NumPy 3

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7 Normal distribution using NumPy

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