Tutorial Category: Python
Python Basic - An Introduction to Python Programming
Python Basic - How to setup the local environment and run python
Python Basic - How to use String in python
Python Basic - Mathematical operations by python
Python Basic - A Basic Guide to Python Type Conversion and Variable
Python Basic - How to use Operators in Python
Python Basic - Conditional Statements in the Control Structure in Python
Python Basic - Boolean logic and Operators Precedence in Python
Python Basic - While Loop in the Control Structure in Python
Python Basic - What is The List in Python
Python Basic - How To Use List in Python
Python Basic – For Loop in the Control Structure in Python
Python Basic - Important Data Structures in Python (Dictionary, Tuple, List)
Python Basic - How to Use List and Dictionary Comprehension in Python
Python Basic - How to Slice List in Python
Python is a high-level, interpreted programming language that is used for a wide range of applications, from desktop applications to web development, data analysis, and machine learning. It was created in the late 1980s by Guido van Rossum and has since become one of the most popular programming languages in the world.
Some of the key features of Python include:
Easy to learn and use: Python has a clean and simple syntax that is easy to read and write, making it an ideal language for beginners.
Interpreted: Python code is executed line by line by an interpreter, which makes it easy to test and debug.
Dynamically typed: Python is a dynamically typed language, which means that variable types are determined at runtime.
Object-oriented: Python is a fully object-oriented language, which means that everything in Python is an object.
Portable: Python code can be run on any platform that has a Python interpreter installed, including Windows, macOS, and Linux.
Python is used extensively in web development, scientific computing, data analysis, artificial intelligence, and machine learning. It is also commonly used for scripting and automation tasks, such as system administration and web scraping. Some popular frameworks and libraries for Python include Django, Flask, NumPy, pandas, and TensorFlow.