Python deservedly is considered one of the most popular, famous, and user-friendly open-source programming languages in the world.
It is hard to overestimate the significance and the overall role of Python in the world of software development. For instance, it is one of the most basic coding languages, which is extremely easy to learn and, probably, has already become a must-have knowledge for any developer. It also has one of the biggest and strongest software communities, which additionally increases the usability and possible use cases for this technology. Besides, there is a wide range of different variations of this technology, each of which is adjusted and modified for very specific purposes.
In other words, it is hard to imagine a case, when it is impossible to use Python during the software development process. Still, it doesn’t mean, that it should be used instead of other high-level programming languages. Clearly, sometimes other frameworks or libraries can be a better solution for specific functionality. For a better illustration, let’s consider all the potential pros and cons of using Python for your software project, as well as look at a few cases, which will help us to better understand what are the best possible conditions for building apps with Python.
As we said before, it is hard to find a software engineer, who hasn’t ever heard of this popular programming language. To make it easier for all of us, let’s just create a brief list of the advantages and drawbacks of using Python for your software product.
Once again, it is super easy. For a better illustration, more experienced developers regularly recommend that beginners learn Python, regardless of the further specification they are interested in, like frontend, backend, full-stack, etc.
Thanks to the ease of learning, Python allows students to concentrate more on the overall programming logic, instead of trying to memorize all the syntax specifics of the programming language. So, Python can be used not only as an all-in-one development solution but a sample of how the coding actually works, and what logic it is driven by, i.e. in the role of beginner guidebook for newcomers.
Additionally, it is definitely an unlimited toolset for any desired use purpose. For instance, it is beloved software in the field of various science projects. SciPy is one of the most famous and well-spread standard libraries, commonly used for complex calculations, machine learning and artificial intelligence, or any other scientific and technical computing. Besides, building apps with Python can be an even easier task thanks to numerous variations of this versatile programming language, which are similar to others like Jython (a combination of Python and Java), IronPython (Python +.NET), etc.
The first thing, that comes to mind is that it is by far not the best solution for building apps with Python when it comes to scalable and complex enterprise applications due to the numerous disadvantages of this programming language.
For instance, it is a very slow coding language, compared to its alternatives. So, if you require a fast and highly-scalable app, then you should look for other alternatives such as Node.js over Python.
Additionally, apps made with Python won’t support multithreading. Thus, they will also work slower than those, driven by alternative programming languages because they will work in a task-by-task routine, instead of proceeding with multiple threats at once.
Among other potential weaknesses of apps, written in Python, are high memory consumption, and struggle with cross-platform development as well. Nevertheless, all the foregoing doesn’t mean, that it is impossible to say, that apps written in Python have no place in the modern software development industry. To prove this point, let’s find out what apps use Python today.
To make it more structured, let’s consider real-world Python use cases by industries.
Plainly speaking, it is hard to create a detailed list of full-fledged scientific applications written in Python, because most such specific Python software solutions propose their functionality in standalone tools. For example, SageMath, Biopython, or others.
Apart from taking part in porting legendary and popular games to new platforms, Python has a few great application examples in the GameDev industry:
Summing up all the above, it is hard to overestimate the importance of real-world Python use cases. This programming language has a wide range of possible use purposes and is deservedly considered one of the most customizable and modified programming languages. Yet, it would be a manipulation, if we said, that the foregoing list is proof that building apps with Python is always an ideal choice.
Just to clarify, most of the aforementioned Python application examples were developed some time ago, when there were no other efficient alternative technologies, worth considering. Obviously, today the overall situation has significantly changed, and the IT industry proposes countless other great technologies, which can be used for application development.
To cut a long story short, there is a variety of useful software tools, and in order to gain the maximum of these technologies, it is worth considering all the available resources, not only the famous and popular ones. So, before hiring a Python developer, it is better to understand what apps use Python and all the advantages of this programming language. One of the best approaches to do so - is to examine case studies or directly contact a software development company to discuss your ideas, estimate the future project, and choose the most suited Tech Stack.
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Python has several popular web frameworks, such as Django, Flask, and Pyramid. These frameworks provide the necessary tools and libraries to simplify web development tasks.
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