Python has become one of the fastest-growing and most popular programming languages in the world. Python is versatile, it is easy to use and develop. Moreover, it has a very vibrant community. You can easily find support from the best minds in the field. However, there are several disadvantages of Python, which you should take into consideration, such as speed limits. Let’s see some more pros and cons of Python to help you decide.

 

Versatile, simple to use, and quick to create

Python places a strong emphasis on code readability. The language is adaptable, tidy, simple to learn and use, readable, and well-structured. Python is used for both rapid scripting and designing enterprise software for Fortune 500 businesses. In both circumstances, its strength lies in its versatility and ease of usage. The language has a low learning curve and a lot of features. Python is dynamically typed, making it easier and faster to program with, with REPL and notebook-like environments like Jupyter. For data scientists, the latter is increasingly becoming the de facto working environment.

Python’s flexibility makes exploratory data analysis simple, which is essentially looking for needles in a haystack while you’re not sure what the needle is. Python enables you to combine the best aspects of many programming paradigms. It’s object-oriented, but it also uses functional programming techniques.

With a thriving community, open-source is the way to go.

Python is a free programming language that can be downloaded and used in minutes. Python development is simple and straightforward. Furthermore, the Python programmers community is one of the greatest in the world, with a sizable and active user base. Some of the world’s brightest IT brains have contributed to both the language and its support forums.

Has every library you can think of.

From web development to game development to machine learning, there is a library for almost anything you can think of. It’s ideal for prototypes since it allows you to do more with less code. Python, as previously stated, is simple to understand and quick to develop. Python allows you to do more with less code, which means you can create prototypes and test concepts faster than with other languages. This means that not only will Python save you time, but it will also save your firm money.

Productivity

Another advantage of Python is that it can help you become more productive. Its integration and control capabilities can help programs work more efficiently. Python is more productive than Java in comparison to other languages since it is dynamically typed and succinct.

 

Python’s biggest drawbacks are as follows:

Experienced programmers always advise using the appropriate tools for the job. It’s important to understand not only Python’s benefits but also its drawbacks. What issues might you encounter if you use this programming language?

Limitations on speed

Because Python is an interpreted language, it may be slower than other popular languages. However, if speed isn’t the most critical issue for your project, Python will suffice.

Threading difficulties

Because of the Global Interpreter Lock, threading is difficult in Python (GIL). GIL is just a mutex that only enables one thread to run at a time. As a result, multi-threaded CPU-bound algorithms may be slower than single-threaded programs, according to Mateusz Opala, Netguru’s Machine Learning Leader. Fortunately, there is a remedy to this issue. – Instead of multithreaded programs, we need to implement multiprocessing programs. That’s what we do a lot when it comes to data processing.

Not designed for use on mobile devices

Python is not designed for mobile environments, and some programmers consider it to be a weak language for mobile computing. Python is not an official programming language on Android or iOS. Python can still be utilized for mobile applications, although it takes a little more effort. There are a lot of libraries that enable a means to create for both Android and iOS using Python, as Gregory Reshetniak demonstrates. The Kivy framework, for example, lets you use the same API to construct not only mobile apps, but also software that runs on Windows, Linux, and Raspberry Pi. That’s a lot of diversity, and it’s all quite simple to use!

The use of memory

You should keep in mind that Python uses a lot of RAM. As a result, it might not be the greatest choice for jobs that require a lot of memory. When a large number of items are active in RAM, this could be an issue.