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Python is a highly multi-purposeful still easy-to-understand programming language, which is why it is more adaptable all over the world. Whether to make a web application in data science, software engineering, mobile app development, or artificial intelligence.
| Unit 01: Introduction to Python Programming | |||
| Module 01: Course Introduction | 00:02:00 | ||
| Unit 02: Getting Started with Python | |||
| Module 01: Software Installation | 00:02:00 | ||
| Module 02: Hello World Program | 00:06:00 | ||
| Module 03: Input and Output | 00:07:00 | ||
| Module 04: Calculating Average of 5 Numbers | 00:03:00 | ||
| Unit 03: Conditional Branching with Python | |||
| Module 01: If Loop In Python | 00:06:00 | ||
| Module 02: Program Using If Else part 1 | 00:03:00 | ||
| Module 03: Program Using If Else part 2 | 00:08:00 | ||
| Module 04: Program for Calculator | 00:02:00 | ||
| Module 05: Program Using For Loop | 00:08:00 | ||
| Module 06: For Table | 00:05:00 | ||
| Module 07: For loop and Mathematical Operator in Python | 00:04:00 | ||
| Module 08: Factorial of Number Using Python | 00:06:00 | ||
| Module 09: Program Using While | 00:05:00 | ||
| Module 10: While Loop Example | 00:07:00 | ||
| Module 11: Tasks for Practice | 00:02:00 | ||
| Unit 04: Importing external/internal library in python | |||
| Module 01: Importing Library in Python | 00:07:00 | ||
| Unit 05: Project Rock Paper and Scissors | |||
| Module 01: Rock Paper and Scissor Game | 00:06:00 | ||
| Unit 06: Strings Operation in Python | |||
| Module 01: Program Using String part 1 | 00:05:00 | ||
| Module 02: Program using String 2 | 00:06:00 | ||
| Module 03: Program Using String 3 | 00:06:00 | ||
| Module 04: Program Using String part 4 | 00:03:00 | ||
| Unit 07: Date and time in Python | |||
| Module 01: Use of Date and Time part 1 | 00:05:00 | ||
| Module 02: Use of Date and Time part 2 | 00:05:00 | ||
| Unit 08: File Handling, read and write using Python | |||
| Module 01: File Handling Part 1 | 00:08:00 | ||
| Module 02: File Handling Part 2 | 00:07:00 | ||
| Unit 09: Data Storage Structures, Tuple, List and Dictionary | |||
| Module 01: Tuple in Python Part 1 | 00:10:00 | ||
| Module 02: Tuple in Python Part 2 | 00:07:00 | ||
| Module 03: Using Lists part 1 | 00:07:00 | ||
| Module 04: Using List part 2 | 00:12:00 | ||
| Module 05: Using Lists part 3 mm | 00:06:00 | ||
| Module 06: Using Lists part 4 | 00:08:00 | ||
| Module 07: Using Lists part 5 | 00:02:00 | ||
| Module 08: Use of Dictionary Part 1 | 00:04:00 | ||
| Module 09: Use of Dictionary Part 2 | 00:05:00 | ||
| Module 10: Use of Dictionary Part 3 | 00:08:00 | ||
| Module 11: Use of Dictionary Part 4 | 00:07:00 | ||
| Unit 10: Writing user functions in Python | |||
| Module 01: Function in Python Part 1 | 00:06:00 | ||
| Module 02: Function in Python Part 2 | 00:05:00 | ||
| Module 03: Function in Python Part 3 | 00:04:00 | ||
| Module 04: Function in Python Part 4 | 00:07:00 | ||
| Module 05: Function in Python Part 5 | 00:08:00 | ||
| Unit 11: Sending mail | |||
| Module 01: Send Email | 00:09:00 | ||
| Unit 12: Import Tricks in Python | |||
| Module 01: Import Study part 1 | 00:07:00 | ||
| Module 02: Import Study part 2 | 00:03:00 | ||
| Unit 13: Import Operating System and Platform | |||
| Module 01: Importing OS | 00:06:00 | ||
| Module 02: Import Platform | 00:05:00 | ||
| Unit 14: Exceptions handling in python | |||
| Module 01: Exception in Python part 1 | 00:11:00 | ||
| Module 02: Exception in Python part 2 | 00:07:00 | ||
| Module 03: Exception in Python part 3 | 00:05:00 | ||
| Unit 15: Installing Packages and Scheduling In Python | |||
| Module 01: Installing Packages using built in package manager | 00:08:00 | ||
| Module 02: Scheduler in Python | 00:05:00 | ||
| Unit 16: Data Base In Python using sqlite | |||
| Module 01: Data Base 1 | 00:08:00 | ||
| Module 02: Data Base 2 | 00:09:00 | ||
| Module 03: Data Base 3 | 00:08:00 | ||
| Module 04: Data base 4 | 00:07:00 | ||
| Module 05: Data Base 5 | 00:06:00 | ||
| Unit 17: Running Program from Command Prompt and jupyter Notebook | |||
| Module 01: IDE_1 | 00:05:00 | ||
| Module 02: IDE_2 | 00:07:00 | ||
| Unit 18: Conclusion | |||
| Module 01: Conclusion | 00:02:00 | ||
| Resources | |||
| Resources – Diploma in Python Programming | 00:00:00 | ||
| Recommended Materials | |||
| Workbook – Diploma in Python Programming | 00:00:00 | ||
| Order your Certificates & Transcripts | |||
| Order your Certificates & Transcripts | 00:00:00 | ||
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The Diploma in Python Programming is an online course that introduces learners to Python and its core programming concepts. It helps learners understand how to write, organise, test, and manage basic Python programs.
Yes. The course is suitable for beginners and does not require previous programming experience. It introduces Python fundamentals in a structured way, allowing learners to develop their coding knowledge gradually.
You will learn Python fundamentals, including variables, data types, operators, conditions, loops, functions, lists, dictionaries, file handling, error handling, debugging, and basic object-oriented programming.
No. Previous programming experience is not required. Basic computer skills and a reasonable understanding of English are recommended to help you follow the course materials.
Python is a versatile programming language used in areas such as software development, web development, automation, data analysis, and artificial intelligence. Learning Python can provide a useful foundation for exploring different areas of technology.
Yes. The course is delivered online, allowing you to study at a convenient time and location. You can access the learning materials using an internet-enabled computer, tablet, or smartphone.
Yes. The course introduces the main concepts needed to create Python programs. You will explore how to use variables, conditions, loops, functions, and other programming structures to develop organised code.
Yes. Functions and loops are important parts of the course. You will learn how functions can organise reusable code and how loops can be used to repeat programming instructions efficiently.
Yes. The course introduces basic object-oriented programming concepts, helping learners understand how Python can be used to organise programs using objects, classes, and related programming structures.
The course can provide a strong foundation in Python programming. Learners can continue developing their skills through additional study, programming projects, portfolio development, and relevant technical qualifications.