Learn Python in 2 Hours | Amit Thinks | Python Tutorial for Beginners

Introduction to Python as an object-oriented interpreted high-level programming language, its popularity in data science, features, and installation process.

Step-by-step guide on downloading and installing Python, including details on installing PyCharm IDE.

Demonstration of setting up Python environment using PyCharm IDE, creating a new project, naming projects, and configuring environments.

Explanation on variables in Python, how to create and manage them compared to other programming languages like Java, C, and C++.

Detailed explanation of local and global scopes in Python, including examples and variable declarations within functions.

Utilizing global variables in Python, understanding their impacts and modifications, including examples with explanations.

Explanation on various operators in Python, including arithmetic, assignment, comparison, logical, and membership operators with examples.

Demonstration on type conversion in Python, converting variables from one data type to another like int to float or float to complex.

Explanation on how to get user input in Python using built-in methods, with a demonstration showing user input scenarios.

Understanding decision-making statements in Python such as if, if-else, and if-elif-else, with examples and conditions for execution.

Explanation on using the break statement in loops to immediately terminate execution and exit the loop, including examples.

Explanation on using the continue statement in loops to skip current iteration and proceed to the next one, including examples.

Explanation on loops in Python, including while loop and for loop with examples showcasing iterations and sequences.

Overview of numeric data types in Python, including integers, floats, and complex numbers, with demonstrations and examples.

Learned about different numeric data types such as positive or negative whole numbers, octal and hexadecimal numbers, and complex numbers in Python.

Explored float data type examples and notation, including the use of uppercase L for long and capital e or small e for the fractional part.

Understanding Python strings, creating strings using double or triple quotes, working with string literals, and basic string operations like indexing and negative indexing.

Introduction to functions in Python, creating functions, adding parameters, and examples illustrating different function arguments, recursion, and return statements.

Exploration of Lambda functions in Python, definition and syntax, and examples of multiplying numbers, working with strings, and finding maximum values using Lambda functions.

Explanation of classes and objects in Python, defining classes, creating objects, and working with attributes and class variables.

Understanding recursion in Python functions through examples like factorial calculations and recursive function calls.

Introduction to tuples in Python, their immutability, creation, and displaying different types of tuples like integer, float, string, and mixed tuples.

Exploring dictionaries in Python, creating dictionaries with key-value pairs, using dictionaries to store information efficiently, and differentiating lists and tuples from dictionaries.

Working with lists in Python, creating integer, float, and multi-dimensional lists, accessing elements in multi-dimensional lists, and utilizing append method to add elements to lists.

Understanding sets in Python, creating sets, and performing operations using built-in methods, focusing on the unique and unordered nature of sets.