• Aida Xie

Considering Python as Your Tech Stack?

Python is a high-level and dynamic general-purpose programming language that focuses on code readability. The language was founded in the year 1991 by the developer Guido Van Rossum who had the idea of making coding easy and fun. The syntax in Python helps the programmers do coding in fewer steps compared to Java or C++.

Python as Tech stack

Photo by Christina Morillo

Since it was founded, it can be largely considered as a gap-filler, a way to write scripts that “automate the mundane stuff”. However, over the past number of years, Python has emerged as a big player in modern software development, data analysis, and infrastructure management. It is a crucial factor in web application creation and systems management; it is not a back-room utility language anymore. Furthermore, it also plays a major part in the explosion of machine learning and big data analytics. It is widely used in software development companies and big organizations, such as Google, Disney, Instagram, and many others, because of its versatility and scope of applicability. Large communities of programmers embrace it as well and one of the reasons is once you learn Python, you will never have a shortage of ways to utilize the skill. Not to forget that you could make decent money since a lot of multi-national corporations rely on Python.

Friendly for Beginners

Python was designed to be easy to understand and fun to use. Hence, the number of features in the language itself is humble, requiring relatively little investment of time or effort to produce your first program. This simplicity makes Python an ideal teaching language, it allows newcomers to pick it up quickly and developers spend less time thinking about language complications or deciphering codes from others. As a result, Python has gained popularity rapidly for being a beginner friendly language.

Extensive support libraries

The Python language has a huge and comprehensive standard library that has automatic memory management and dynamic features. Most of the commonly used programming tasks are already scripted into it and that reduces the length of the codes to be written in Python. Having a shorter code requires less space and less time, which in turn is well appreciated by coders, as any correction and optimization also takes lesser time.

Easy to understand

Being a high level language, Python reads like English, which handles a lot of complexity and takes a lot of syntax-learning stress off. In the situation when many people are developing a software product and working around the code, it is essential that the language used is understood very well by everyone, from the developer to the tester. Since Python is easy to comprehend and analyze, this will ensure that the actual output matches the desired output in a shorter time.

Limitation of Python

As a dynamically typed language, Python is slow because it is too flexible and the machine would need to do a lot of referencing to make sure the definition of something and this slows performance down. Python is not the best choice when speed is an absolute priority in every aspect of the application.

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