Welcome to “Python Programming for Non Programmers Level 5,” a course specially designed for those new to the world of coding. This program starts with a comprehensive introduction to Python, a versatile programming language favored in numerous fields. Progressing to the second unit, participants will familiarize themselves with the initial steps of Python programming, setting a strong foundation for future learning. The course then advances to conditional branching in Python, an essential skill for logical problem-solving in coding.
A highlight of this course is the practical project: building the game ‘Rock Paper Scissors’. This engaging task not only consolidates learning but also adds a fun element to the process. The curriculum further includes critical topics like string operations, date and time functionalities, and the nuances of file handling in Python. Learners will navigate through the complexities of Python data structures—tuples, lists, and dictionaries—and learn to craft user functions, enhancing their coding capabilities. The course also covers email automation, ingenious import tactics, interfacing with operating systems, and handling exceptions with finesse. Furthermore, learners will get hands-on experience with package installation, scheduling tasks in Python, and managing databases using SQLite. The course wraps up with insights on running Python programs via command prompt and Jupyter Notebook, ensuring learners are well-equipped for real-world applications.
Learning Outcomes
This Python Programming for Non Programmers Level 5 does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Python Programming for Non Programmers Level 5 was made by professionals and it is compatible with all PC’s, Mac’s, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection.
After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8.
Unit 01: Introduction to Python Programming | |||
Section 01: Course Introduction | 00:02:00 | ||
Unit 02: Getting Started with Python | |||
Section 01: Software Installation | 00:02:00 | ||
Section 02: Hello World Program | 00:06:00 | ||
Section 03: Input and Output | 00:07:00 | ||
Section 04: Calculating Average of 5 Numbers | 00:03:00 | ||
Unit 03: Conditional Branching with Python | |||
Section 01: If Loop In Python | 00:06:00 | ||
Section 02: Program Using If Else part 1 | 00:03:00 | ||
Section 03: Program Using If Else part 2 | 00:08:00 | ||
Section 04: Program for Calculator | 00:02:00 | ||
Section 05: Program Using For Loop | 00:08:00 | ||
Section 06: For Table | 00:05:00 | ||
Section 07: For loop and Mathematical Operator in Python | 00:04:00 | ||
Section 08: Factorial of Number Using Python | 00:06:00 | ||
Section 09: Program Using While | 00:05:00 | ||
Section 10: While Loop Example | 00:07:00 | ||
Section 11: Tasks for Practice | 00:02:00 | ||
Unit 04: Importing external/internal library in python | |||
Section 01: Importing Library in Python | 00:07:00 | ||
Unit 05: Project Rock Paper and Scissors | |||
Section 01: Rock Paper and Scissor Game | 00:06:00 | ||
Unit 06: Strings Operation in Python | |||
Section 01: Program Using String part 1 | 00:05:00 | ||
Section 02: Program using String 2 | 00:06:00 | ||
Section 03: Program Using String 3 | 00:06:00 | ||
Section 04: Program Using String part 4 | 00:03:00 | ||
Unit 07: Date and time in Python | |||
Section 01: Use of Date and Time part 1 | 00:05:00 | ||
Section 02: Use of Date and Time part 2 | 00:05:00 | ||
Unit 08: File Handling, read and write using Python | |||
Section 01: File Handling Part 1 | 00:08:00 | ||
Section 02: File Handling Part 2 | 00:07:00 | ||
Unit 09: Data Storage Structures, Tuple, List and Dictionary | |||
Section 01: Tuple in Python Part 1 | 00:10:00 | ||
Section 02: Tuple in Python Part 2 | 00:07:00 | ||
Section 03: Using Lists part 1 | 00:07:00 | ||
Section 04: Using List part 2 | 00:12:00 | ||
Section 05: Using Lists part 3 | 00:06:00 | ||
Section 06: Using Lists part 4 | 00:08:00 | ||
Section 07: Using Lists part 5 | 00:02:00 | ||
Section 08: Use of Dictionary Part 1 | 00:04:00 | ||
Section 09: Use of Dictionary Part 2 | 00:05:00 | ||
Section 10: Use of Dictionary Part 3 | 00:08:00 | ||
Section 11: Use of Dictionary Part 4 | 00:07:00 | ||
Unit 10: Writing user functions in Python | |||
Section 01: Function in Python Part 1 | 00:06:00 | ||
Section 02: Function in Python Part 2 | 00:05:00 | ||
Section 03: Function in Python Part 3 | 00:04:00 | ||
Section 04: Function in Python Part 4 | 00:07:00 | ||
Section 05: Function in Python Part 5 | 00:08:00 | ||
Unit 11: Sending mail | |||
Section 01: Send Email | 00:09:00 | ||
Unit 12: Import Tricks in Python | |||
Section 01: Import Study part 1 | 00:07:00 | ||
Section 02: Import Study part 2 | 00:03:00 | ||
Unit 13: Import Operating System and Platform | |||
Section 01: Importing OS | 00:06:00 | ||
Section 02: Import Platform | 00:05:00 | ||
Unit 14: Exceptions handling in python | |||
Section 01: Exception in Python part 1 | 00:11:00 | ||
Section 02: Exception in Python part 2 | 00:07:00 | ||
Section 03: Exception in Python part 3 | 00:05:00 | ||
Unit 15: Installing Packages and Scheduling In Python | |||
Section 01: Installing Packages using built in package manager | 00:08:00 | ||
Section 02: Scheduler in Python | 00:05:00 | ||
Unit 16: Data Base In Python using sqlite | |||
Section 01: Data Base 1 | 00:08:00 | ||
Section 02: Data Base 2 | 00:09:00 | ||
Section 03: Data Base 3 | 00:08:00 | ||
Section 04: Data base 4 | 00:07:00 | ||
Section 05: Data Base 5 | 00:06:00 | ||
Unit 17: Running Program from Command Prompt and jupyter Notebook | |||
Section 01: IDE_1 | 00:05:00 | ||
Section 02: IDE_2 | 00:07:00 | ||
Unit 18: Conclusion | |||
Section 01: Conclusion | 00:02:00 | ||
Resources | |||
Resources – Diploma in Python Programming | 00:00:00 | ||
Assignment | |||
Assignment – Diploma in Python Programming | 00:00:00 | ||
Recommended Materials | |||
Workbook – Diploma in Python Programming | 00:00:00 |
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