Python-Powerful, Intuitive Programming

Dating from 1991, the Python programming language was considered a gap-filler, a way to write scripts that "automate the boring stuff" (as one popular book on learning Python put it) or to rapidly prototype applications that will be implemented in other languages. However, over the past few years, Python has emerged as a first-class citizen in modern software development, infrastructure management, and data analysis. It is no longer a back-room utility language, but a major force in web application creation and systems management, and a key driver of the explosion in big data analytics and machine intelligence.

How Python makes programming easier Perfect for IT, Python simplifies many kinds of work, from system automation to working in cutting-edge fields like machine learning. What Python is used for The most basic use case for Python is as a scripting and automation language. Python isn't just a replacement for shell scripts or batch files; it is also used to automate interactions with web browsers or application GUIs or to do system provisioning and configuration in tools such as Ansible and Salt. But scripting and automation represent only the tip of the iceberg with Python.

General application programming with Python You can create both command-line and cross-platform GUI applications with Python and deploy them as self-contained executables.

Data science and machine learning with Python

Metaprogramming and code generation in Python

"Glue code" in Python Python is often described as a "glue language".

Python's compromises Like C#, Java, and Go, Python has garbage-collected memory management, meaning the programmer doesn't have to implement code to track and release objects.