Python is an interpreted, object-oriented, high-level programming language with dynamic semantics developed by Guido van Rossum. It was originally released in 1991. Designed to be both easy and fun, the name "Python" is a nod to the British comedy group Monty Python. Python has a reputation as a beginner-friendly language that has replaced Java as the most widely used introductory language because it handles much of the complexity for users and allows beginners to focus on fully grasping programming concepts rather than fine details.
Python is used for server-side web application development, software development, mathematics, and system scripting, and is popular for rapid application development and as a scripting or glue language for connecting existing components because it has built-in high-level data structures, dynamic typing, and dynamic binding . Program maintenance costs are reduced with Python due to its easy-to-learn syntax and emphasis on readability. Additionally, Python's support for modules and packages makes modular programs and code reuse easier. Python is an open source community language, so many independent programmers are constantly creating libraries and functions for it.
Python use cases
Creating web applications on the server
Creating workflows that can be used in conjunction with the software
Connecting to database systems
Reading and editing files
Doing complex math
Big data processing
Rapid prototyping
Production-ready software development
Professionally, Python is great for backend web development, data analysis, artificial intelligence, and scientific computing. Developers also use Python to create productivity tools, games, and desktop applications.
Features and benefits of Python
Compatible with a variety of platforms including Windows, Mac, Linux, Raspberry Pi and more
It uses a simple syntax comparable to the English language, which allows developers to use fewer lines than other programming languages
It works on an interpreter system that allows instant code execution, rapid prototyping
It can be handled in a procedural, object-oriented, or functional manner
Python syntax
Somewhat similar to English, with a mathematical influence, Python is built for readability
Unlike other languages that use semicolons and/or parentheses to complete a statement, Python uses newlines for the same function
Defines scope (ie loops, functions, classes) by relying on indentation, using spaces instead of braces (aka braces)
The flexibility of Python
Python, a dynamically typed language, is particularly flexible, removing hard-and-fast rules for creating functions and offering more flexibility in solving problems using different methods. It also allows programs to be compiled and executed up to the problem area because it uses run-time checking rather than compile-time checking.
The less cool parts of Python
On the other hand, Python is not easy to maintain. A single statement can have multiple meanings depending on the context because Python is a dynamically typed language. And maintaining a Python application as it grows in size and complexity can become increasingly difficult, especially finding and fixing bugs. Users will need experience designing code or writing unit tests to facilitate maintenance.
Speed is another weakness of Python. Its flexibility, because it is dynamically typed, requires a significant number of references to reach the correct definition, which slows down performance. This can be mitigated by using an alternative Python implementation (eg PyPy).
Python and AI
AI researchers are fans of Python. Google TensorFlow, as well as other libraries (scikit-learn, Keras), form the basis for AI development because of the usability and flexibility it offers Python users. These libraries and their availability are critical because they allow developers to focus on growing and building.
Good to know
The Python Package Index (PyPI) is a software repository for the Python programming language. PyPI helps users find and install software developed and shared by the Python community.
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