Python Programming- A Practical Approach

Python Programming: A Practical Approach, available at $19.99, has an average rating of 4.55, with 100 lectures, 3 quizzes, based on 327 reviews, and has 4803 subscribers.

You will learn about Python Programming Programming Paradigms Develop a program for a given problem Python Syntax and important Libraries Python Image Library(PIL) Data Visualization with Matplotlib Play Music using Python library Pandas Library Math Library functions Python NumPy library Solutions for Python problems from University exam questions Discussion on Job Interview questions on Python and related topics This course is ideal for individuals who are Programmers or Students of Computer Science and Engineering, Mathematics, Physics, Statistics, Other Engineering or IT Professionals, College and High School Students or Software Developers or Bright Children who aspire to become Software professionals It is particularly useful for Programmers or Students of Computer Science and Engineering, Mathematics, Physics, Statistics, Other Engineering or IT Professionals, College and High School Students or Software Developers or Bright Children who aspire to become Software professionals.

Enroll now: Python Programming: A Practical Approach

Summary

Title: Python Programming: A Practical Approach

Price: $19.99

Average Rating: 4.55

Number of Lectures: 100

Number of Quizzes: 3

Number of Published Lectures: 100

Number of Published Quizzes: 3

Number of Curriculum Items: 103

Number of Published Curriculum Objects: 103

Original Price: $129.99

Quality Status: approved

Status: Live

What You Will Learn

Python Programming

Programming Paradigms

Develop a program for a given problem

Python Syntax and important Libraries

Python Image Library(PIL)

Data Visualization with Matplotlib

Play Music using Python library

Pandas Library

Math Library functions

Python NumPy library

Solutions for Python problems from University exam questions

Discussion on Job Interview questions on Python and related topics

Who Should Attend

Programmers

Students of Computer Science and Engineering, Mathematics, Physics, Statistics, Other Engineering

IT Professionals, College and High School Students

Software Developers

Bright Children who aspire to become Software professionals

Target Audiences

Programmers

Students of Computer Science and Engineering, Mathematics, Physics, Statistics, Other Engineering

IT Professionals, College and High School Students

Software Developers

Bright Children who aspire to become Software professionals

In this course, we teach Python Language using a practical approach. For every concept and syntax, elaborate details are given with a practical example. For every topic, we introduce the required. level of theory, explain the syntax, and illustrate using several example programs. The Tutorial Videos give coaching on Job Interview questions and solutions for problems from university examination papers. The following topics first with a sufficient number of practical examples:

1. Introduction and basics of to Python

2. Assignment Statements

3. Input Statement and Output Statements

4. Math Library functions

5. Datetime Library – date, time, datetime, timedelta

6. Control structures such as IF statement

7. Loop Structures such as For Loop and While Loop

8. List, Tuple, and Set

9. String Manipulation

10. User-Defined Functions

11. Data Files – File Manipulation

12. Drawing with Python Image Library (PIL)

13. Data Visualization using Matplotlib

14. Database Management using Python Pandas Data Frames

15. Playing Music with Python programs

We introduce some important Python Libraries such as Math, Pandas, Matplotlib, NumPy, and PIL.

Examples are chosen for each of the concepts so that the student understands the concept easily. In Math Library, we introduce all the important Functions such as Math constants, number functions, trigonometric functions, logarithmic functions, distance, permutation combination, and LCM / GCD. In introducing Pandas Dataframe, we have used a simple database and explained all the data frame methods and commands. By introducing PIL, we have illustrated the library capabilities such as load and display a picture, Image processing operations such as Sharp, Blur, and embodying. We have written programs for drawing rectangles and other shapes on a picture. We have used PIL.ImageFont library to write text on the image.

In Matplotlib, we have introduced Python programs for drawing line graphs, bar charts, scatter diagrams, horizontal bars, and pie chart.

We have added Tutorial videos for discussing the solutions for problems asked in university examinations globally.

Course Curriculum

Chapter 1: Python Programming Course Overview

Lecture 1: Python Programming Course Overview

Chapter 2: Introduction to Python Programming

Lecture 1: Introduction to Python Language

Lecture 2: Python Comment Statements

Lecture 3: Constants and Variables

Lecture 4: Python Basic Data Types

Chapter 3: Python Assignment Statements

Lecture 1: Assignment Statements – Part 1

Lecture 2: Assignment Statements – Part 2

Lecture 3: Tutorial – Solutions for Problems from University Examination Question Papers

Lecture 4: Tutorial – Swap two variables

Lecture 5: Swap two variables without a temporary variable

Chapter 4: Input Output Statements

Lecture 1: Input Statement – Part 1

Lecture 2: Input Statement Part 2

Lecture 3: Output Statements Part 1

Lecture 4: Output Statement – Part 2

Chapter 5: Python Math Library

Lecture 1: Mathematical Constants

Lecture 2: Number Functions

Lecture 3: Lab 04 Compute X power n

Lecture 4: Logarithmic Functions

Lecture 5: Trigonometric Functions

Lecture 6: Distance Functions

Lecture 7: Tutorial – Solutions for Problems from University Examination Question Papers

Chapter 6: Managing Date and Time with datetime Library

Lecture 1: The datetime Library – date class

Lecture 2: The time class

Lecture 3: The datetime class

Lecture 4: The timedelta class

Lecture 5: Example Program

Lecture 6: Example Program – Compute the Retirement Date and Retirement Benefits

Lecture 7: Tutorial Solutions for problems from University Examination Question Papers

Chapter 7: Control Structures

Lecture 1: Control Structures – IF Statements

Lecture 2: Programming Lab : Find Smaller of two numbers

Lecture 3: Programming Lab: Find the Largest and Smallest of three numbers

Lecture 4: Tutorial – Solutions for Problems from University Examination Question Papers

Chapter 8: Loop Structures

Lecture 1: Introduction to Loop Structures in Python Part 1

Lecture 2: Loop Structures – Part 2

Lecture 3: For Loop Part 1

Lecture 4: For Loop Part 2

Lecture 5: Tutorial – Solutions for Problems from University Examination Question Papers

Lecture 6: Tutorial – Solutions for Problems from University Examination Question Papers

Lecture 7: Programming Lab: Sum of Series 1

Lecture 8: Programming Lab: Sum of Series 2

Lecture 9: Programming Lab:Sum of Series 3

Lecture 10: Programming Lab: Sum of Series 4

Lecture 11: Programming Lab: Check if a number is a Perfect Number

Lecture 12: Programming Lab: Check if a number is an Armstrong Number

Lecture 13: Programming Lab: Prime Number Check

Lecture 14: Programming Lab: Fibonacci Series

Lecture 15: Programming Lab: Find Greatest Common Divisor (GCD)

Lecture 16: Programming Lab: Least Common Multiple (LCM)

Chapter 9: Lists, Tuples and Sets

Lecture 1: Data Structures – List, Tuple and Set

Lecture 2: Length Function len() for List, Tuple and Set

Lecture 3: Python List

Lecture 4: Python Tuple

Lecture 5: Python List Methods

Lecture 6: Sorting Python List

Lecture 7: Indexing (Subscript) and Slicing a List

Lecture 8: Reverse a List

Lecture 9: Statistical Operations in a Python List

Lecture 10: Concatenate Lists and Tuples

Lecture 11: For Loop with List, Tuple and Set

Lecture 12: List of Lists and Tuples

Lecture 13: Students Mark Processing – Case Study

Lecture 14: Python Program for Matrix Addition

Lecture 15: Python Program for Matrix Multiplication

Lecture 16: Tutorial – Solutions for Problems from University Examination Question Papers

Lecture 17: Tutorial – Solutions for Problems from University Examination Question Papers 2

Lecture 18: Tutorial – Solutions for Problems from University Examination Question Papers 3

Lecture 19: Tutorial – Solutions for Problems from University Examination Question Papers 4

Lecture 20: Tutorial – Solutions for Problems from University Examination Question Papers 5

Chapter 10: Dictionary

Lecture 1: Introduction to Python Dictionary

Lecture 2: Tutorial – Solutions for Problems from University Examination Question Papers

Chapter 11: String Manipulation

Lecture 1: Programming Lab: String Manipulation

Lecture 2: Programming Lab: Palindrome Checking

Lecture 3: Tutorial – Solutions for Problems from University Examination Question Papers

Lecture 4: Encription – Caesars Cipher

Lecture 5: Searching in a List of Strings

Chapter 12: Python User Defined Functions

Lecture 1: Functions – Introduction

Lecture 2: Function Example – Area of a Circle

Lecture 3: Function Example – Refractive Index

Lecture 4: Function Example – Bank Interest Table

Lecture 5: Tutorial – Solutions for Problems from University Examination Question Papers

Lecture 6: Tutorial Solutions for problems from University Examination Question Papers

Lecture 7: Tutorial Solutions for problems from University Examination Question Papers 2

Lecture 8: Tutorial – Solutions for Problems from University Examination Question Papers

Chapter 13: File Handling

Lecture 1: File Handling – Introduction

Instructors

Xavier Chelladurai
Professor

Rating Distribution

1 stars: 1 votes

2 stars: 8 votes

3 stars: 44 votes

4 stars: 113 votes

5 stars: 161 votes

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