Welcome to Python complete Tutorial!

This page is your go-to resource for all things Python. Whether you’re a beginner starting your programming journey or an experienced coder looking to refine your skills, you’ll find a structured sequence of Python tutorials to guide you every step of the way.

From fundamental concepts like variables, loops, and functions to advanced topics like object-oriented programming, data analysis, and web development, these tutorials cover a wide range of Python programming aspects. Additionally, this page features practical Python programs that showcase real-world applications and hands-on learning.

Start exploring the tutorials below and elevate your Python expertise one blog at a time!

1. Python Basics

Basics:

• Variables and types
• Data Structures
• Operators
• Control flow
• Functions
• Classes and objects

Basic Data Types:

• Ints and floats
• Other types of number
• Booleans
• Strings
• Bytes

Basic Data Structures:

• Lists
• Tuples
• Sets
• Dictionaries
• List comprehensions
• Dictionary comprehensions

Control Flow:

• If and else
• While loop
• For loop

Functions:

• Anatomy of a function
• Variables and scope
• Functions as variables

Classes and Objects:

• Anatomy of a class
• Static and instance methods
• Inheritance

Errors:

• Errors and exceptions
• Handling exceptions
• Custom exception

Threads and Processes:

• Intro to threads and processes
• Multithreading
• Multiprocessing

Working with Files:

• Opening, reading and writing
• CSV
• JSON

Packaging Python:

• Command-line arguments
• Creating modules and packages

2. Deep dive into OOPs:

Intro:

• Object-oriented programming with Python

Object-Oriented Python:

• Object-oriented basics
• Basic class
• Instance methods and attributes
• Instance types
• Class methods and members

Inheritance and Composition:

• Inheritance basics
• Abstract base classes
• Multiple Inheritance
• Interfaces
• Composition basics

“Magic” Object Methods:

• What are magic methods?
• String representation
• Equality and comparison
• Attribute access
• Callable objects

Data Classes:

• Defining a data class
• Using a post initialization
• Using default values
• Immutable data classes

3. Important Libraries

Into:

• Python standard libraries
• Why you need to know
• Python standard library introduction

Built-in:

• Logical Operators: And, or, not
• Comparison operators
• Range and list
• Min and max
• Rounding
• Absolute value
• Exponents
• Sorted function
• Type functions

Math:

• Trigonometry
• Ceiling floor
• Constants
• Factorial
• Square root
• GCD
• Python random module
• Calculating statistics
• Iterators with itertools: Infinite process
• Iterators with itertools: Permutation and combinations

Date and Time:

• Getting the current time
• Formatting dates and times
• Calculating future times
• Create a timer with Python time module

HTML Parsing:

• HTML parser module
• Text wrap module

HTTP:

• Python HTTP packages and urlib and JSON modules

4. Data Structures Deep Dive:

Intro:

• Working with data structures
• What is data?
• Introductions to data structures
• Built-in data structures
• Big O notation

Arrays:

• What is an array?
• Create a list
• Retrieve data from a list
• Mutate a list
• Tuples
• When to use array

Dictionaries:

• What is a dictionary?
• Create a dictionary
• Mutate a dictionary
• When to use dictionary

Sets:

• What is a set?
• Create a set
• Operations on sets
• Immutable sets
• When to use sets

Queues:

• What is a queue?
• Use deque as a queue
• When to use queue

Stacks:

• What is a stack?
• Use a list as a stack
• Use deques as a stack
• When to use stacks

Tips:

• How to decide which data structure to use

5. Python Programs

• Find prime factors
• Identify a palindrome
• Sort a strings
• Find all list items
• Play the waiting game
• Save a dictionary
• Schedule a function
• Send an email
• Simulate dice
• Count unique words
• Generate a passwords
• Merge CSV files
• Download sequential files

Thank You for Visiting!

Thank you for taking the time to explore this Python Tutorials page. Your support means the world to us, and we hope these resources help you achieve your programming goals.

If you’re looking for an in-depth resource to further enhance your Python skills, consider checking out our recommended Python book: “Python Crash Course” by Eric Matthes. This book provides a comprehensive guide to Python programming with detailed examples and practical exercises.

Happy coding! 🚀