• Easy to use and Read – Python’s syntax is clean and easy to read, making it an excellent language for both new and experienced programmers. This simplicity can help to accelerate development and lessen the likelihood of errors.
• Dynamically typed variables have their data types determined at runtime. We do not need to specify a variable’s data type while creating code.
• High-level – High-level language refers to human-readable code.
• Compiled and Interpreted – Python code is first compiled into bytecode, then interpreted line by line. When we download Python from org, we are downloading the default Python implementation, known as CPython. CPython is regarded to be both compliant and interpretable.
• Garbage Collection: Memory allocation and de-allocation are automatically managed. Programmers do not have a specific requirement to manage memory.
• Purely Object-Oriented – It treats everything as an object, including integers and strings.

• Cross-platform compatibility – Python is easily installed on Windows, macOS, and many Linux variants, allowing developers to design software that works on multiple operating systems.

• Rich Standard Library – Python has multiple standard libraries that provide ready-to-use modules and functions for a wide range of activities, including web development, data manipulation, machine learning, and networking.
• Open Source –

  Python is an open-source, free programming language. As a result, it finds use in a variety of industries and specialties.

Python boasts several web-based assets, open-source projects, and a thriving community. Developers can learn the language, collaborate on projects, and contribute to the Python ecosystem with relative ease.

Python’s clear language foundation makes it easier to understand and write code. This makes it an excellent programming language for beginners. Additionally, it helps experienced programmers write clear and error-free code.

Python has numerous third-party libraries that can be used to simplify its functionality. These libraries cover a wide range of topics, including web development, scientific computing, and data analysis.