What Is Python?

Python is a programming language used in website development, software development, task automation, data analysis and data visualization.

Written by Anthony Corbo
Published on Dec. 29, 2022
Python image of a programmers hands on a desktop keyboard and a monitor with code on it.
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Peter Grant | Aug 11, 2022

Python is a general-purpose, object-oriented programming language that has several implications across the software, web development, data science and automation environments. The language’s dynamic semantics, high-level built in data structures, dynamic typing and dynamic binding make it one of the most useful languages for rapid application development.

Is Python Easy to Learn?

Python is one of the easiest programming languages to learn, largely due to its object-oriented nature and simple syntax.

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What Is Python Used For?

Python is most commonly used in website development, software development, task automation, data analysis and data visualization.

Python is an incredibly versatile programming language. Often used to develop an application or website’s back end, Python is capable of processing data, communicating with databases, routing URLs and ensuring overall security

Python also offers the ability to easily automate processes through scripting, making it key for software testing, troubleshooting and bug tracking.

Finally, Python plays a key role in data science tasks and is used to perform complex statistical calculations, visualize data and create machine learning algorithms.

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What Makes Python So Powerful?

Python’s power comes in its versatility. The language is easy to use and can be implemented across a variety of technical processes, such as programming, machine learning, data science, automation and more.

While other languages may be capable of handling tasks in all of these environments, Python stands out due to its ability to excel in each. Python is also an interpreted language, meaning that it executes instructions directly without the need for compilation.

Additionally, there are a variety of Python frameworks and libraries, such as Django and Flask, that add additional power and tailored capabilities to specific processes. 

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