Easy to LearnĮngineered as a high-level and expressive programming language, Python has a shallow learning curve with built-in functions and capabilities to call external third party dependencies and packages. This cross-platform capability enhances software application development and development team collaboration. Since Python uses internal C libraries and package installations, it can be used on various operating systems such as Mac, Windows, Linux, and Unix. The result – developers can structure comprehensible code and function blocks with logical organization and storytelling. Python’s inherent syntax structure and seamless library/package imports allow for readability and conciseness. You can understand the philosophy of Python through these nine traits of the developer-friendly language. Originally developed by Guido van Rossum in 1991, Python was released as an interpreted, high-level, general-purpose programming language with code readability and modularity in mind.Įach year, Python’s popularity reaches an all-time high with a current 31.73% share of popularity amongst modern development languages. Machine Learning and Artificial Intelligenceīut first, you should understand that the fundamentals of Python programming and its roots in interpreted programming are essential.This article will give an extensive overview and how Python is used, featuring ten examples of Python applications: This is probably because of the emergence of Python – the modern holy grail of data science, machine learning, web scraping, and all of the above.Īs a high-level and general-purpose programming language, Python has become a popular option for web app development, general software development, and data science/machine learning (ML). However, hitting that sweet spot of efficiency, functionality, and versatility has gotten a lot easier in the previous decade(s).
The search to find a high-level programming language while keeping end-to-end functionality, efficient runtime, scalability, and versatility in mind has been a challenge to almost every business starting their next big projects. In an ever-evolving 21st-century tech bubble overwhelmed with cutting-edge research scientists, full-stack developers, data scientists, and emerging entrepreneurs, finding the right programming language are almost like finding a needle in a haystack.
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