December 08, 2022 • 135 Views
The rise of technologies, especially when we talk about the web sector, is hard to overestimate. Therefore, the comparison of various technologies, and choosing the best tech stack for the web application development cycle is gaining more popularity. Moreover, this industry has brought a new way of using traditional technologies, whether these are programming languages, libraries, frameworks, or other examples of utilities, some of which were originally designed not specifically for this sector.
Python scripting language is one of the examples of traditional technologies, that managed to adjust to new realities. Yet, it is worth admitting, that it was created as a general-purpose language or GPL. This means, that it has no actual prior usage purposes. Instead, the main principle of GPLs is to be flexible and adjusted for various development use cases. So, it is hard to tell exactly when to use python and when not to.
Its success is easy to explain. Apart from its flexible nature, it is probably one of the most user-friendly programming languages. Python is regularly proposed to newcomers because it can be easily learned and helps to better understand the overall code logic of some other alternatives. Yet, it is not the final list of Python’s advantages.
For instance, it is beloved by skilled python developers as well. In fact, it has one of the biggest communities, which managed to produce numerous multi-purpose libraries. Eventually, it is platform-free, i.e. is not limited when it comes to OS, and also is highly compatible with other programming technologies. In other words, you can create apps in python for most modern platforms, except for mobile development.
However, the list of drawbacks is as long. Still, the most crucial ones are:
Frankly speaking, it takes more time to proceed with the task due to the basic architecture and its demands. It is the reason for memory consumption as well. Moreover, memory consumption can be caused by built-in garbage collection. Most modern competitors fixed these issues and are capable to provide developers with better performance results.
Likewise, despite its compatibility with other programming languages, developing apps in Python requires additional presets and correct settings of the working environment. Finally, the multithreading option differs from the competitors. To be clear, there is no such thing as a multithreading model with threads, which can be run at the same time.
Nonetheless, most of the foregoing disadvantages can be easily fixed with the use of the detailed Python guide or its substitutes like Jython(in the case of multithreading).
Summing up all the above, Python is a great solution both for newcomers and experienced Python developers, which provides them with countless variations and possible use cases. In fact, it is very hard to tell exactly when to use python. It won’t be a lie to tell, that its usage is mostly limited by the imagination of Python developers.
Still, it can be difficult to use it in some specific cases like the ones, when multithreading is required, memory capabilities are limited, and high performance is a key feature demanded. Due to its GPL nature, it can become a great addition to your web development project as well.
Previously, JS suffered from a lack of browser support. In fact, the issue lay down in the wrong or changed code interpretation by browsers. For now, the problem is partly solved, so if you are targeting the main browsers like Google Chrome, Safari, and Mozilla - you won’t meet the issue.
What we didn’t say about this programming language, is that it has some important advantages over the competitor. Especially, when it comes to computing capabilities. Actually, when we compare Python vs JavaScipt, we have to admit, that both are relatively the same in many aspects.
Nevertheless, we can easily divide them into the fields of most productivity. As for Python use cases, thanks to its great computing possibilities, as well as overall programming language design, it is a real beast in various industries like scientific computing, machine learning, artificial intelligence, or any other, which requires scalable data analysis and calculation.
For instance, among alternative python use cases, there are social networks like Instagram. It is also used by such giants as Google and Netflix. Eventually, developing apps in Python is a great idea for backend development. It has a lot of various features, that will come in handy in almost any case. Yet, it is not as good for the front end and user interfaces.
As we mentioned before, JavaScipt is one of the leaders in the web development market. Also, it can be used both for the front and backend. Yet, if JavaScipt usage for the backend can be argued due to the clear competition with Python in this field, the front is a clear win in our comparison. With the combination of great UI support, high-performance result, numerous libraries, frameworks, and other extensions, JS becomes a clear winner in this sprint.
For instance, when it comes to fast rendering, JS has an advantage, because can run multiple tasks at the same time, while original Python operates them one by one. Yet, some developers may say, that in most cases, it is hard to notice the difference. Moreover, Python is the ultimate choice for working with an array of data.
As we already figured out, Python can be considered a backend language, while JavaScipt is a perfect solution for the frontend, even if it can be used for the backend as well. By dividing them into different “ends”, we can ensure a truly unique development experience and an extraordinary result. To better illustrate this opinion, we propose you check some of our recent case studies, where you can find some of such combinations and examine their results by yourself.
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