Python

📄️ Introduction to Python

In this tutorial, we will learn about Python, its features, syntax, applications, libraries, and community support.

📄️ JSON with Python

In this tutorial, we will learn about JSON and JSON with Python with deep detais of JSON

📄️ Data-types in python

In this tutorial we will learn about data types in python,

📄️ Math with Python

In this tutorial, we will learn about math and math operations with Python, with deep details of the math module and its functions.

📄️ String in Python

In this tutorial, we will explore the basics of strings in Python, including how to create, manipulate, and format strings.

📄️ Working with pip in Python

In this tutorial, we will learn about pip, the package installer for Python, with deep details of its usage and features.

📄️ Further Resources for Learning Python

In this tutorial, we'll explore further resources for learning Python. We'll provide a curated list of books, online courses, websites, and communities where you can continue your Python learning journey. You'll discover resources tailored to your skill level, from beginner to advanced, covering various aspects of Python programming, including syntax, data structures, algorithms, and advanced topics such as concurrency and optimization. Whether you're just starting out or looking to deepen your Python expertise, these additional resources will help you enhance your skills and stay updated with the latest developments in the Python community.

🗃️ Advanced Concepts

8 items

📄️ Asynchronous Programming

Synchronous Programming:Synchronous programming, executes the tasks in a predetermined order, where each operation waits for the previous one to complete before proceeding.

📄️ Cythonization

Cython, a programming language that makes writing C extensions for Python as easy as Python itself.

📄️ Decorators

Decorators in Python are a powerful and flexible feature that allows you to modify or enhance the behavior of functions or classes. They are essentially functions that wrap other functions or methods, allowing you to add functionality before, after, or around the original function's behavior.

📄️ Deque

Definition

🗃️ File Handling

7 items

🗃️ Networking

4 items

📄️ OOPs

In Python object-oriented Programming (OOPs) is a programming paradigm

📄️ Scipy

Scipy is a powerful Python library used for scientific and technical computing. It builds on NumPy and provides a large number of higher-level functions for mathematical operations, including optimization, integration, interpolation, eigenvalue problems, algebraic equations, and more.

📄️ Conditional Statements

Python supports the usual logical conditions from mathematics:

📄️ feature-engineering

Feature: