Easy to Learn

Python is an easy language to master. This is chiefly because of its resemblance to the English language. Python’s syntax is characterized by very few rules and special cases. It’s safe to say that in Python the focus is on what you want to do with the code, not on language intricacies. Anybody can master Python easily. With practice, newbies can build a basic game in mere days using python. Another attractive aspect of this programming language is its efficiency and readability.

Cross-Platform and Open Source

It’s been more than 20 years since this language has been running cross-platform and open source. Be it Linux, Windows or MacOS, Python code works on every platform. Another remarkable thing about Python is that it’s supported by decades of bug-squashing and kink-straightening which ensures that its code works as intended whenever the user runs it.

Versatile Language and Platform

Python remains very relevant today as it can be used in any operations scenario or software development, be it in managing local and cloud infrastructure, working against a SQL database, developing a custom function for Hive & Pig, supporting object-oriented design or even developing a small tool for the user.

Vast Libraries

Python is supported by PyPI which has 85,000+ python scripts and modules accessible to the user. These modules provide pre-packaged functionality available to the users in their local Python environment. It can solve diverse problems such as executing advanced data analytics like developing REStful web services or sentiment analysis and establishing computer vision.

Career Growth Opportunities

Having expertise across various technologies opens up several career paths, including roles like Software Architect, Tech Lead, or Solution Engineer. Over time, they can even move into leadership or consulting positions.

Flexibility

Python has several powerful applications integrated with other programming languages. Details about these are given as follows:

• .Net and C# compatible: IronPython
• A version with C: CPython
• Python combined with Ruby: RubyPython
• Python integrated with Java: Jython
• Python written with Objective C toolkits: PyObjc

High Salary

The salary of Python engineers is comparatively higher as compared to others in the industry. In the United States, a Python developer earns an average of $116,028 per year. This high earning potential is a result of Python's widespread adoption across various industries, including finance, technology, healthcare, and more.

Scripting and Automation

What most people don’t know about Python is that it can be used as a scripting language. In scripting, the code is written in script form and gets executed. So the code is read and interpreted by the machine and errors are checked during runtime. After the code is checked, it can be used many times. It is also possible to automate specific tasks in a problem by automation.

Artificial Intelligence

Artificial Intelligence (AI) is a pivotal domain where Python shines. Python's libraries like TensorFlow and Keras enable the implementation of complex machine learning and deep learning algorithms. These libraries are widely used in AI applications such as natural language processing (NLP), where Python's NLTK and spaCy excel in tasks like sentiment analysis and language translation. In computer vision, Python's OpenCV library is a go-to tool for tasks like image recognition and object detection.