📄️ Introduction to Python
In this tutorial, we will learn about Python, its features, syntax, applications, libraries, and community support.
📄️ Getting Started
In this tutorial,
🗃️ GUI
1 item
📄️ 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.
📄️ Loops in python
Python has two primitive loop commands:
🗃️ Advanced Concepts
6 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.
📄️ 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: