Full Stack Web Development_ FSWD106: Introduction to Python (P)

About Course

Introduction to Python, in this comprehensive course, you will embark on a journey through the fundamentals of Python programming, covering syntax, data structures, object-oriented programming, web development, data analysis, and more.
Whether you’re aiming to kickstart your programming journey or expand your skill set, this course equips you with the knowledge and practical skills to harness Python’s power for various applications, from web development to data science.

Solid Python Fundamentals: Develop a strong foundation in Python programming, mastering essential concepts such as variables, data types, loops, and functions, enabling you to write Python code confidently.
Effective Problem Solving: Enhance your problem-solving skills by applying Python to practical coding challenges and exercises, enabling you to tackle real-world programming tasks.
Object-Oriented Programming (OOP): Understand the principles of OOP and become proficient in creating and using classes and objects in Python, allowing you to design organized and reusable code.
Web Development and Data Analysis: Explore Python's versatility by working on web development projects using frameworks like Flask or Django and performing data analysis tasks with libraries like pandas and Matplotlib.
Best Practices and Coding Standards: Adopt industry best practices and coding standards, ensuring clean, readable, and maintainable Python code, and preparing you for collaboration in software development teams

Course Content

Module 1

Topic 1: Introduction to Python

04:12
LO1: Define the Basic Structure and Syntax of a Python program

14:37
LO2: Describe the Input and Output operations in Python

03:38
LO3: Develop a basic Python Script to solve real-world problems

12:06
LO4: Explain the use of Python’s Interactive Shell

10:54
Topic 2: Python Operations

04:25
LO1: Elaborate on Variables, Expressions, and Statements

14:15
LO2: Name and describe Values and Data Types

13:47
LO3: Describe Operators and their types

17:44
LO4: Explain the Precedence of Operators

14:05
Topic 3: If Statements

03:53
LO1: Recognize the Syntax and Purpose of Python if statements

13:20
LO2: Differentiate between simple and nested if statements in Python

15:05
LO3: Write Python scripts to implement conditional logic using if statements

09:14
Quiz I
Topic 4: Break Statement

03:14
LO1: Discuss the Purpose and Syntax of the Break statement in Python Loops

23:17
LO2: Describe scenarios where the use of a Break Statement is necessary

11:10
Topic 5: Basic Terminology of Function

04:42
LO1: Define Functions, Arguments, and Unit Testing

18:08
LO2: Discuss Local Variables and Parameters

23:29
LO3: Interpret the Accumulator Pattern and Program Development

13:34
LO4: Understand the Nesting Functions, Flow of Execution, and using the main()

21:07
Topic 6: Return Multiple Values in Function

03:44
LO1: Identify the Syntax used to Return Multiple values from a Function

18:22
LO2: Analyze the Benefits of Returning Multiple values in Modular Programming

10:24
Quiz II
Topic 7: Python Class

04:30
LO1: Define a Class and Explain the components of a Class

16:14
LO2: Explain accessing of Class Members via Objects

16:34
Topic 8: Decorators in Python

04:47
LO1: Describe the Syntax and Purpose of Decorators in Python

19:54
LO2: Explain how Decorators can modify or enhance the behavior of Functions

13:13
Topic 9: Arithmetic Operator Overloading

05:24
LO1: Discuss the Concept and Methods of Operator Overloading

16:35
LO2: Explain how to Override Arithmetic Operators in custom Classes

10:18
LO3: Implement Arithmetic Operator Overloading to support Mathematical Operations in Python Objects

13:24
Topic 10: Exception Handling: Example

05:53
LO1: Describe Exception Handling and Flow-of-control

08:12
LO2: Explain the Principles of using Exceptions

12:17
LO3: Discuss Catching Multiple Specific Exceptions

12:37
LO4: Assess Clean-up after Exceptions

14:07
Topic 11: Web Scraping

05:42
LO1: Recall the Tools and Libraries used for Web Scraping in Python

10:20
LO2: Explain the ethical considerations and best practices for Web Scraping

11:53
LO3: Develop Python scripts to extract and process data from Web Pages

11:57
Topic 12: Python Packages

05:10
LO1: Define the concept of a Package in Python

18:28
LO2: List standard Python packages used in AI, such as NumPy, Pandas, etc

12:26
LO3: Demonstrate the Install and Import process of Python packages

10:06

About Course

What Will You Learn?

Course Content

Module 1

Topic 1: Introduction to Python

LO1: Define the Basic Structure and Syntax of a Python program

LO2: Describe the Input and Output operations in Python

LO3: Develop a basic Python Script to solve real-world problems

LO4: Explain the use of Python’s Interactive Shell

Topic 2: Python Operations

LO1: Elaborate on Variables, Expressions, and Statements

LO2: Name and describe Values and Data Types

LO3: Describe Operators and their types

LO4: Explain the Precedence of Operators

Topic 3: If Statements

LO1: Recognize the Syntax and Purpose of Python if statements

LO2: Differentiate between simple and nested if statements in Python

LO3: Write Python scripts to implement conditional logic using if statements

Quiz I

Topic 4: Break Statement

LO1: Discuss the Purpose and Syntax of the Break statement in Python Loops

LO2: Describe scenarios where the use of a Break Statement is necessary

Topic 5: Basic Terminology of Function

LO1: Define Functions, Arguments, and Unit Testing

LO2: Discuss Local Variables and Parameters

LO3: Interpret the Accumulator Pattern and Program Development

LO4: Understand the Nesting Functions, Flow of Execution, and using the main()

Topic 6: Return Multiple Values in Function

LO1: Identify the Syntax used to Return Multiple values from a Function

LO2: Analyze the Benefits of Returning Multiple values in Modular Programming

Quiz II

Topic 7: Python Class

LO1: Define a Class and Explain the components of a Class

LO2: Explain accessing of Class Members via Objects

Topic 8: Decorators in Python

LO1: Describe the Syntax and Purpose of Decorators in Python

LO2: Explain how Decorators can modify or enhance the behavior of Functions

Topic 9: Arithmetic Operator Overloading

LO1: Discuss the Concept and Methods of Operator Overloading

LO2: Explain how to Override Arithmetic Operators in custom Classes

LO3: Implement Arithmetic Operator Overloading to support Mathematical Operations in Python Objects

Topic 10: Exception Handling: Example

LO1: Describe Exception Handling and Flow-of-control

LO2: Explain the Principles of using Exceptions

LO3: Discuss Catching Multiple Specific Exceptions

LO4: Assess Clean-up after Exceptions

Topic 11: Web Scraping

LO1: Recall the Tools and Libraries used for Web Scraping in Python

LO2: Explain the ethical considerations and best practices for Web Scraping

LO3: Develop Python scripts to extract and process data from Web Pages

Topic 12: Python Packages

LO1: Define the concept of a Package in Python

LO2: List standard Python packages used in AI, such as NumPy, Pandas, etc

LO3: Demonstrate the Install and Import process of Python packages

Final Exam

Final Exam Quiz

Quick Links

Resources

Support