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Python Tutorial for Beginners – Learn Python Programming

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Curriculum
1
Introduction to Python Programming 8
2
Python Installation and Development Environment Setup 8
3
Python Syntax, Variables, and Data Types 8
4
Operators and Expressions in Python 8
5
Conditional Statements and Decision Making 8
6
Loops and Iteration in Python 8
7
Python Data Structures — Strings, Lists, and Tuples 8
8
Python Dictionaries, Sets, and Comprehensions 8
9
Functions and Modular Programming 8
10
Recursion, Iterators, and Generators 0

Introduction to Python Programming

8 topics in this module

1
What Is Python Programming?
2
History and Evolution of Python
3
Features, Benefits, and Limitations of Python
4
Understanding Python Applications and Use Cases
5
Python vs. Java vs. JavaScript
6
Understanding Python Versions and Implementations
7
Python Applications in Web Development, Automation, and Data Science
8
Python Career Roles and Industry Opportunities

Python Installation and Development Environment Setup

8 topics in this module

1
Python Development Environment Fundamentals
2
Installing and Configuring Python
3
Understanding Python Interpreter and Execution
4
Setting Up Visual Studio Code and PyCharm
5
Working with Python IDLE and Interactive Shell
6
Configuring Environment Variables and Python PATH
7
Understanding pip and Python Package Management
8
Writing, Executing, and Debugging Your First Python Program

Python Syntax, Variables, and Data Types

8 topics in this module

1
Understanding Python Syntax and Indentation
2
Working with Variables and Naming Conventions
3
Understanding Python Keywords and Identifiers
4
Exploring Numeric Data Types: int, float, and complex
5
Working with Strings and Boolean Values
6
Understanding Type Conversion and Type Casting
7
Using the type() and id() Functions
8
Working with None, Constants, and Dynamic Typing

Operators and Expressions in Python

8 topics in this module

1
Introduction to Python Operators and Expressions
2
Working with Arithmetic Operators
3
Using Comparison and Relational Operators
4
Understanding Logical Operators
5
Working with Assignment and Compound Assignment Operators
6
Using Bitwise Operators
7
Understanding Membership and Identity Operators
8
Operator Precedence, Associativity, and Expression Evaluation

Conditional Statements and Decision Making

8 topics in this module

1
Introduction to Decision-Making in Python
2
Using if Statements
3
Working with if-else Statements
4
Implementing if-elif-else Conditions
5
Writing Nested Conditional Statements
6
Using Logical Operators in Conditional Expressions
7
Understanding Truthy and Falsy Values
8
Applying Conditional Logic to Real-World Programming Problems

Loops and Iteration in Python

8 topics in this module

1
Introduction to Iteration and Looping
2
Working with for Loops
3
Using while Loops
4
Applying Nested Loops
5
Understanding range() and Sequence Iteration
6
Using break, continue, and pass Statements
7
Understanding Loop else Clauses and Infinite Loops
8
Solving Pattern Printing and Iteration-Based Programming Problems

Python Data Structures — Strings, Lists, and Tuples

8 topics in this module

1
Introduction to Python Sequence Data Structures
2
Creating and Accessing Strings
3
Using String Slicing and Indexing
4
Working with String Methods and Formatting
5
Creating, Accessing, and Updating Lists
6
Using List Methods, Slicing, and Nested Lists
7
Understanding Tuples, Packing, and Unpacking
8
Comparing Strings, Lists, and Tuples with Practical Examples

Python Dictionaries, Sets, and Comprehensions

8 topics in this module

1
Introduction to Dictionaries and Key-Value Pairs
2
Creating, Accessing, and Updating Dictionaries
3
Using Dictionary Methods and Nested Dictionaries
4
Understanding Sets and Frozen Sets
5
Applying Set Operations: Union, Intersection, and Difference
6
Working with Dictionary and Set Methods
7
Creating Lists, Dictionaries, and Sets Using Comprehensions
8
Choosing Appropriate Data Structures for Programming Tasks

Functions and Modular Programming

8 topics in this module

1
Introduction to Functions and Code Reusability
2
Defining and Calling Functions with def
3
Working with Parameters and Return Values
4
Understanding Positional, Keyword, and Default Arguments
5
Using *args and **kwargs
6
Understanding Local, Global, and Nonlocal Scope
7
Creating Lambda Functions and Using map(), filter(), and zip()
8
Organizing Programs into Reusable Functions and Modules

Recursion, Iterators, and Generators

0 topics in this module

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