Python Packages or Libraries

The biggest strength of Python is a huge collection of standard libraries which can be used for the following:

Python Tutorial | Learn Python Programming

This Programming Language Python Tutorial is very well suited for beginners and also for experienced programmers. This specially designed free Python tutorial will help you learn Python programming most efficiently, with all topics from basics to advanced (like Web-scraping, Django, Learning, etc.) with examples.

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What is Python?

Python is a high-level, general-purpose, and very popular programming language. Python programming language (latest Python 3) is being used in web development, and Machine Learning applications, along with all cutting-edge technology in Software Industry. Python language is being used by almost all tech-giant companies like – Google, Amazon, Facebook, Instagram, Dropbox, Uber… etc....

Writing your first Python Program to Learn Python Programming

There are two ways you can execute your Python program:...

Setting up Python

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Getting Started with Python Programming

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Learn Python Input/Output

Download and Install Python 3 Latest Version How to set up Command Prompt for Python in Windows10 Setup Python VS Code or PyCharm Creating Python Virtual Environment in Windows and Linux...

Python Data Types

Welcome to the Python tutorial section! Here, we’ll cover the essential elements you need to kickstart your journey in Python programming. From syntax and keywords to comments, variables, and indentation, we’ll explore the foundational concepts that underpin Python development....

Python Operators

In this segment, we delve into the fundamental aspects of handling input and output operations in Python, crucial for interacting with users and processing data effectively. From mastering the versatile print() function to exploring advanced formatting techniques and efficient methods for receiving user input, this section equips you with the necessary skills to harness Python’s power in handling data streams seamlessly....

Python Conditional Statement

Python offers, enabling you to manipulate and manage data with precision and flexibility. Additionally, we’ll delve into the dynamic world of data conversion with casting, and then move on to explore the versatile collections Python provides, including lists, tuples, sets, dictionaries, and arrays....

Python Loops

From performing basic arithmetic operations to evaluating complex logical expressions, we’ll cover it all. We’ll delve into comparison operators for making decisions based on conditions, and then explore bitwise operators for low-level manipulation of binary data. Additionally, we’ll unravel the intricacies of assignment operators for efficient variable assignment and updating. Lastly, we’ll demystify membership and identity operators, such as in and is, enabling you to test for membership in collections and compare object identities with confidence....

Python Functions

These statements are pivotal in programming, enabling dynamic decision-making and code branching. In this section of Python Tutorial, we’ll explore Python’s conditional logic, from basic if…else statements to nested conditions and the concise ternary operator. We’ll also introduce the powerful match case statement, new in Python 3.10. By the end, you’ll master these constructs, empowering you to write clear, efficient code that responds intelligently to various scenarios. Let’s dive in and unlock the potential of Python’s conditional statements....

Python OOPs Concepts

Here, we’ll explore Python’s loop constructs, including the for and while loops, along with essential loop control statements like break, continue, and pass. Additionally, we’ll uncover the concise elegance of list and dictionary comprehensions for efficient data manipulation. By mastering these loop techniques, you’ll streamline your code for improved readability and performance....

Python Exception Handling

Functions are the backbone of organized and efficient code in Python. Here, we’ll explore their syntax, parameter handling, return values, and variable scope. From basic concepts to advanced techniques like closures and decorators. Along the way, we’ll also introduce versatile functions like range(), and powerful tools such as *args and **kwargs for flexible parameter handling. Additionally, we’ll delve into functional programming with map, filter, and lambda functions....

Python Packages or Libraries

In this segment, we’ll explore the core principles of object-oriented programming (OOP) in Python. From encapsulation to inheritance, polymorphism, abstract classes, and iterators, we’ll cover the essential concepts that empower you to build modular, reusable, and scalable code....

Python Collections

In this section of Python Tutorial, we’ll explore how Python deals with unexpected errors, enabling you to write robust and fault-tolerant code. We’ll cover file handling, including reading from and writing to files, before diving into exception handling with try and except blocks. You’ll also learn about user-defined exceptions and Python’s built-in exception types....

Python Database Handling

The biggest strength of Python is a huge collection of standard libraries which can be used for the following:...

Python vs. Other Programming Languages

Here, we’ll explore key data structures provided by Python’s collections module. From counting occurrences with Counters to efficient queue operations with Deque, we’ll cover it all. By mastering these collections, you’ll streamline your data management tasks in Python....

Learn More About Python with Different Applications:

In this section you will learn how to access and work with MySQL and MongoDB databases...

Python Quiz

Here’s a comparison of Python with the programming languages C, C++, and Java in a table format:...

Python Latest & Upcoming Features

Python is a versatile and widely-used programming language with a vast ecosystem. Here are some areas where Python is commonly used:...