How Python Is Helping to Improve Open Source
Python is a great language to learn for many reasons, but one of the biggest is the size and skill of its every growing community of open source developers.
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Great programmers, architects, and founders always have a clear vision for the future of a programming language before they start building their application. While selecting a particular language for building an application, the most important thing developers consider is how long support for that language will continue to exist and whether it will be easy to transfer their code if the language gradually becomes obsolete. When Facebook was built, PHP was one of the most popular and powerful choices for web development. Although, if you ask the Facebook team to make their now famous website today, they would probably use a language like Ruby, Scala or Python.
Quora, one of the leading question and answer site, was built on Python and their CEO, Adam D'Angelo, has stated that more than 5 years after Quora was developed, he is happy with the choice of language. So what are the key factors that most programmers consider? Dependency upon other stacks is one for sure! A language such as Python has many frameworks and programming models that have improved the open source stack. The Python programming model enables you to write your own open source code which can be purely based on the native Python language. Anyone who codes using Python will tell you that coding in Python is relatively simple compared to some other options. Thus, coding in Python can enhance the reusability as it would be simple to refactor and use it again in different projects. Let’s look at some of the factors, models, and frameworks that will improve Open Source for good.
1. Python-Based Languages
There are numerous implementations of Python and some of them are relatively fast and better to use in comparison with pure Python. However, the implementations are bound to have some dependencies, such as libraries that belong to other open source languages. Thus, in the end, using an official Python implementation like CPython which has existed for quite a while will always be a top choice for other open source implementations.
2. Open Source Web Development Frameworks
There are many open source frameworks built using the native Python language and having less of a dependency on third-party libraries or frameworks. For example, Django makes the open source platform better to use due to its minimal dependencies with other parties. The greatest advantage of using such Python-based frameworks is the compatibility and support it offers for a multitude of databases and Python versions.
3. Development Interfaces
Python can be used to build open source stacks for system administration like OpenStack and Salt. Automation platforms like Ansible, which are, again, open source, can be built on Python. Interfaces with GUIs such as Tkinter and wxPython are some more examples of how the programming modules of Python will lead to improving the available open source resources.
Now, apart from I've enumerated above, the biggest resource and positive aspect that Python has is its community. There is an ample amount of Python experts who keep contributing to the community by building new versions of tools and frameworks and help fix bugs. This is something which every lead programmer or planner keeps an eye on. In the end, the open source can be improved based on current shortcomings it has with a good web host. For example, when Ruby was invented, its creator mentioned that he wanted to build a language more object-oriented than Python.
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