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Python Programming: A Practical Approach
Rating: 4.7 out of 5(657 ratings)
6,894 students

Python Programming: A Practical Approach

Theory, Lab programs, and Tutorials on Job Interview Questions and Solutions of problems from University Exam papers
Last updated 8/2025
English

What you'll 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

Course content

20 sections105 lectures15h 49m total length
  • Python Programming Course Overview14:04

    Python Programming – Course Overview

    Evolution of Programming Languages:

    In the past 50 years, programming languages have changed a lot. They started with FORTRAN and now Python is the most popular. Programming is like dancing and singing, it gets better with practice and dedication. People need to keep learning and gaining practical experience to improve their skills. Python is a widely used programming language nowadays, especially in the field of Artificial Intelligence. Our course focuses on teaching Python in a practical way. We emphasize on real-life application and provide comprehensive examples to explain important concepts and syntax. In contemporary times, Python stands at the forefront of programming languages, serving as a versatile tool across various domains, notably in the realm of Artificial Intelligence (AI).

    Our course adopts a pragmatic approach to imparting proficiency in Python, emphasizing practicality, depth, and application across diverse fields.

    Practical Learning Approach

    Each facet of Python, from fundamental concepts to intricate syntax, is meticulously elucidated through comprehensive examples and practical applications. The course is structured to provide an in-depth understanding of Python's core elements:

    Introduction and Basics of Python

    Providing a foundational understanding of Python's syntax, data types, and fundamental principles to familiarize learners with the language's essentials.

    Assignment and I/O Statements

    Delving into assignment statements and input/output functions, enabling learners to comprehend data manipulation and interaction in Python.

    Math and Datetime Libraries

    Exploring the math library for mathematical functions and the datetime library for date and time manipulations, essential for data processing and computation.

    Control and Loop Structures

    Understanding control structures such as 'if' statements and loop structures including 'for' and 'while' loops for decision-making and iterative operations.

    Data Structures and String Manipulation

    Navigating through data structures like lists, tuples, sets, and delving into string manipulation for effective text processing.

    User-Defined Functions and File Manipulation

    Unveiling the creation of user-defined functions and exploring file manipulation for efficient data handling and storage.

    Python Image Library (PIL)

    Harnessing the capabilities of PIL for image processing, including loading images, performing operations like sharpening, blurring, and drawing shapes.

    Introducing Essential Libraries

    The course introduces pivotal Python libraries—Math, Pandas, Matplotlib, NumPy, and PIL—crucial for diverse applications:

    Math Library

    Covering essential functions spanning constants, numerical, trigonometric, logarithmic, distance, permutation, combination, and LCM/GCD operations for mathematical computations.

    Pandas

    Employing Pandas Dataframe to demonstrate database operations, elucidating data

    manipulation techniques using a simplified database scenario.

    Matplotlib

    Showcasing Matplotlib's prowess in visual representation with line graphs, bar charts, scatter plots, horizontal bars, and pie charts, facilitating data visualization.

    Practical Application and Tutorial Videos

    Real-world examples accompany each concept, enabling seamless comprehension.

    Furthermore, tutorial videos delve into university examination problem-solving, providing comprehensive insights into tackling global academic challenges.

    In essence, this course champions a hands-on, practical approach to Python, empowering learners to grasp the language's intricacies and leverage its diverse libraries for practical applications across academic, professional, and AI domains.

Requirements

  • Logical Reasoning skill
  • School level Mathematics

Description

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.


Who this course is for:

  • 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