Python is not just a language but a powerful platform. Being one of the most-loved programming languages offers some of the excellent benefits in application development. Ever since its release, it has managed to evolve without comprising its core principles. With its increasing popularity, it would be great to know its history to understand how it achieved the feat of being an impact language in the world.
Guido van Rossum originally conceived Python in the late 1980s. However, its implementation didn’t begin before 1989. With van Rossum leading the project until July 2018, Python continued to evolve while staying true to its central tenets.
The fantastic platform enables developers to write C++ as well as C extensions modules. Python’s Java implementation is known as “Jython” and effectively contributes to the seamless integration of Java and Python modules.
- Readability: One of the biggest reasons for Python to become so popular is its simple syntax and grammar. Being close to natural language, it adds fun to programming, making it stress-free.
- Extensibility: Python consists of a small core language with an extensive standard library and an easily extensible interpreter. The goal is to add programmable interfaces to existing applications.
- Maintainability: The super singularity of Python facilitates coding standards, styles, and recommendations. At the same time, it increases the readability and maintainability of projects.
In January 1994, version 1.0 was released with loads of functional tools such as lambda, reduce (), filter (), and map (). Five years later, Rossum launched CP4E imitative to simplify programming and impart basic coding knowledge, thanks to its clean syntax. No need to mention, this is a fantastic contribution of Python.
During this period, Perl became quite a popular scripting language. Python was not still accessible to many. The advanced loadable models mimicked Perl’s most popular features, making it on the list. However, for those looking for an alternative to Perl, Python is the best choice.
In those days, the object-oriented programming world was ruled by Visual Basic and C/C++. Java was on the rise. By the late 1990s, Java became a replacement for C/C++ and was destined to dominate.
A Period of Maturing:
In 2000, Python 2.0 was released shortly after the core Python development team moved to form the PythonLabs team. The new version came up with many of Haskell’s features that facilitate functional programming. At the end of the following year, Python 2.2 brought unification of the language’s types and classes under one hierarchy, giving developers more control and efficiency.
Despite its popularity as an object-oriented language, Python never engaged in any contest with Java or other company-sponsored languages. Instead, its developers focused on improving the language and features.
Python became quite popular during this time as an alternate scripting language or prototype language for their projects. Amidst the surging demand of Java in the enterprising application development world, Python created a market for itself in the realm of data management and infrastructure development. Most importantly, the interoperability of platforms with other languages enables even Java developers to use it for parts of their applications to increase their productivity.
In 2007, Dropbox was founded by MIT students, and shortly soon, it became one of the most significant projects using Python. By this time, Python became a popular choice for many start-ups, but it took some time to catch on as the language of choice for large-scale enterprises. With the emergence of Dropbox, technology managers became highly interested in Python.
The following year, Python 3.0 was launched and quickly became successful, propelling developers to consider Python more seriously. It corrected some fundamental flaws in the language. It also retained backward compatibility with the 2.x series, while striving to reduce feature duplication by removing old ways of doing things.
Python was also beginning to garner attention from the scientific community, particularly in neuroscience research, where it started to be used extensively. With its robust libraries, Python became an alternative to R, Matlab, and other scientific computing languages for research projects.
If you are looking for a powerful development tool, Python is the right choice. Hire Python development services and achieve a desirable feat.