Python is one of the most loved and used programming languages. It is known for its simplicity, readability, beginner-friendly, lower learning curve as well as vast use cases. Python is mostly used in backend development, machine learning, artificial intelligence, and game development.

Python is a high-level, interpreted programming language. It was created by Guido van Rossum and first released in 1991. Python's design philosophy emphasizes code readability with its notable use of significant whitespace. It supports multiple programming paradigms, including procedural, object-oriented, and functional programming.

Python has gained immense popularity across various domains due to several reasons:

Ease of Learning: Python's syntax is clear and easy to understand, making it an ideal choice for beginners. Its simplicity reduces the time required to develop, debug, and maintain code.  

Versatility: Python supports a wide range of applications, including web development, data analysis, artificial intelligence, scientific computing, automation, and more. Its extensive standard library and third-party modules simplify development across diverse domains.  

Community and Ecosystem: Python has a vibrant and supportive community. It boasts an extensive ecosystem of libraries, frameworks, and tools contributed by developers worldwide, enhancing productivity and accelerating development.  

Cross-Platform Compatibility: Python runs on various platforms, including Windows, macOS, and Linux, ensuring seamless portability of code across different environments.  

Scalability: Python's scalability allows it to be used for small scripts to large-scale enterprise applications. It powers some of the world's most popular websites and applications.  

In this Programming in Python series, I will try to cover as much as possible about Python from the basic beginner level to all the way to advance concepts, from writing simple program to error handling, from OOPs to Concurrency & Multithreading, from webscrapping to asynchronous programming.

I will also try to cover some of the popular frameworks and libraries in python such as django, flask, pandas, numpy etc.

In the next post, I will write about how to install python and get started with writing python code and getting your hands dirty.

Stay tuned!