?What are the basic data types in Python

Python has several fundamental data types: Integer (int): Whole numbers, e.g., 10, -5 Float (float): Decimal numbers, e.g., 3.14, -0.5 String (str): Text data, e.g., "Hello, Python!" Boolean (bool): Logical values, True or False List: Ordered, mutable collection, e.g., [1, 2, 3] Tuple: Ordered, immutable collection, e.g., (1, 2, 3) Dictionary (dict): Key-value pairs, e.g., {"name": "Alice", "age": 25}

?What is the difference between a list and a tuple in Python

List: A mutable (changeable) sequence that allows adding, modifying, and removing elements. Example: python Copy Edit my_list = [1, 2, 3] my_list.append(4) # Adds 4 to the list Tuple: An immutable (unchangeable) sequence that cannot be modified after creation. Example: python Copy Edit my_tuple = (1, 2, 3) # my_tuple.append(4) # This would cause an error Tuples are faster and used when data should remain constant.

Python programming fundamentals A Z Course

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13 Lessons
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Programming

Python programming fundamentals, in this course we will learn about Python programming fundamentals, covering the core concepts essential for beginners. You will explore variables, data types, loops, conditionals, functions, and object-oriented programming. Learn how to write efficient code, debug errors, and work with Python’s built-in libraries. The course also includes hands-on projects to apply concepts in real-world scenarios, such as data manipulation, automation, and basic file handling. Whether you're new to programming or looking to strengthen your Python skills, this course provides a structured, step-by-step approach to mastering Python fundamentals and building a strong foundation for advanced topics. Great Learning

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What You'll Learn

Write and understand Python variables, data types, and operators for effective programming tasks
Implement control flow using loops and conditionals to solve real-world problems efficiently
Design and define functions to promote code reusability and modular programming practices
Apply object-oriented programming principles to create scalable and maintainable Python applications
Utilize Python’s built-in libraries for data manipulation, automation, and file handling tasks
Debug and troubleshoot Python code to enhance program reliability and performance
Develop practical projects demonstrating Python skills in data processing, automation, and basic scripting
Optimize Python code for efficiency and readability in real-world programming scenarios

Course Content

13 Lessons • 24 h 51 m total

Python for Non Programmers Python Tutorial for Absolute Beginners in 2021 Great Learning