Python Tutorial for Absolute Beginners

Learn basic math in Python using operators for addition, subtraction, multiplication, division, modulo, and exponentiation, and understand expressions, operands, and operator precedence.

Learn how to declare and use Python variables and types, assign values, explore integer, float, complex, and string types, and apply type casting and type() to inspect data.

Learn how to use the Python print function to display output and collect user input with input, including formatting options, type casting, and printing strings and numbers.

Learn how Python exposes built-in functions and modules through the standard library, and practice using print, input, len, max, pow, and math.sqrt with import, help, and dir.

Learn how to create and run your first Python script using IDLE and command prompt, including taking numeric input, converting to numbers, computing the max, and keeping the terminal open.

Install PyCharm on Windows 10, choose the community version, and create your first Python project, including writing a hello world file and running it.

Install python on ubuntu and verify the version. Set up PyCharm community edition via snap, create a new project, configure the interpreter, and run a hello world script.

Learn how to download and install PyCharm community edition on Mac, verify Python versions, create a new Python project named hello world, and run a hello world script.

Install the PyCharm community edition on Windows 11 and set up the Python environment. Create your first project, configure the interpreter, and run Python files in PyCharm.

Explore Python strings and comments, including single and triple quotes, escaping with backslashes, string literals, indexing, slicing, and common string methods like upper, lower, capitalize, replace, strip, and split.

In this Python tutorial for absolute beginners, learn boolean values true and false, explore comparison operators, and master logical operators and, or, and not to combine conditions.

Learn how to use if statements in Python to execute code when conditions are met, with syntax, colon, indentation, and else blocks, plus simple examples using comparison and logical operators.

Teach beginners Python conditional logic with if, elif, else, and nested if statements, plus user input and printing in practical name matching and value checks.

Learn to create and manipulate lists in Python, access elements by index, handle length, mixed data types, insert, remove, pop, clear, sort, reverse, append, copy, and count occurrences.

discover python tuples, immutable sequences accessed by index, use length, count, and del, concatenate to form tuples, denote single-element tuples with a trailing comma, and repeat with an asterisk.

Explore Python sets, a collection of values. Use the set constructor to convert a list to a set, then declare, add, and update elements, and perform union, intersection, and difference.

Learn how to create and manipulate dictionaries in Python, using key value pairs, access by keys, and methods like get, pop, pop item, clear, update, keys, values, and items.

Explore Python slicing and negative indices using the slice function and colon notation on lists and strings, with start, end, and step.

Learn to use a while loop in python to repeat code until a condition is met, with counting, printing, indentation, and the else clause after the loop.

Learn to use for loops in Python to iterate over lists, tuples, sets, strings, and dictionaries with the in operator. See range and for-else concepts.

Demonstrates using break and continue in Python loops for absolute beginners, showing how to terminate or skip iterations in for and while loops with practical examples.

Explore Python functions, including built-in and user-defined ones, defined with def and arguments, called to sum numbers or concatenate strings, and to return values.

Explore defining Python functions with default arguments, using *args for multiple positional values, and **kwargs for keyword arguments, including dictionaries and iteration.

Compare procedural and object oriented programming in Python by exploring classes, objects, data, and methods, and see how state and behavior live inside objects.

Define Python classes and create objects to illustrate object-oriented programming concepts in a beginner tutorial. Assign attributes like speed and color, and compute rectangle areas using width and height.

Explore how the __init__ method, with the self parameter, initializes attributes in a Python class and, though not a constructor, acts like one during instance creation, using speed and color.

Explore why Python uses a single __init__ and how last defined overrides earlier ones, and learn to simulate multiple constructors with default values, *args, and **kwargs while setting self attributes.

Learn encapsulation in Python by using setter and getter methods to protect private attributes like speed and color. Understand how double underscores signal privacy and how rectangle area is computed.

Learn how private member variables and methods work in Python, using double underscores, accessing them inside the class with self, and why they remain invisible outside.

Explore Python inheritance by building a polygon superclass and rectangle and triangle subclasses, showing how subclasses inherit public methods from the superclass, and how private members are protected, with getters.

Learn how to create your own python modules (files), import them from the same or different directories, and use aliasing to simplify access.

Explore Python's multiple inheritance by deriving triangle and rectangle from polygon and shape, importing modules, and using set color and get color methods to print colors.

Explore how to use the built-in super function in Python to call a superclass __init__ from a subclass, pass a name, and understand the method resolution order in multiple inheritance.

Discover python composition by delegating an employee's salary calculation to a separate salary class, with an employee object that holds a salary instance and exposes a total_salary method.

Learn how to implement aggregation in Python by passing a salary object to an employee, contrasting has versus part of, and highlighting directional association and object independence.

Learn how to create abstract classes in Python using the ABC module and abstractmethod, preventing instantiation of a shape template and enforcing area and perimeter methods in subclasses.

Explore Python operator overloading by implementing special methods such as __add__, __lt__, and __gt__ in a custom circle class, enabling intuitive operations like adding radii and computing area.

Master Python exception handling with try-except to manage zero division and type errors. Explore catching specific or broad exceptions and observe how programs continue or fail.

Learn how Python's try, except, else, and finally work together to handle errors, where else runs on success and finally always executes, even after exceptions.

Explore raising exceptions in Python with the raise statement, using base and subclass exceptions, and show how to pass messages in a coffee temperature example.

Create and raise your own Python custom exception by inheriting from the base exception class, initializing with a message via super, and using it in code examples.

Learn how the special Python variable __name__ and the if __name__ == '__main__' guard control code execution. Distinguish running a module from importing it.

Create and write to a text file in Python using the open function in write mode, including file handlers, write and close calls, and append mode that preserves existing content.

Learn to read text files in Python using open with a file name or path and read mode, then use read, readline, readlines, and for loops with len and split.

Learn to work with json data in python via the json module. Use dumps and loads to convert dicts and lists, and write with open using indent, separators, and sort_keys.