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Python is a developer-friendly programming language which supports in creating dynamic web applications. It is one of the most popular coding languages that allow developers to create applications with simple coding. Today, we will discuss the Pros and Cons Of Python.
One of the best Python benefits is it provides the best coding readability making it easier for any new developer to understand the entire coding development.
Besides offering the ever best and simple coding, there are several pros and cons of Python you should know as a developer. Python Application Examples are proof of it.
It helps you with finding solutions in every nook and corner of any complex situations you experience in coding. Here are some benefits of Python programming and limitations of Python you should know for sure.
There are several advantages of Python to benefit developers and application owners in a great manner. We will discuss such Python Pros and Cons by one here and understand which type of app and project it can fit in.
Python is easy to use and versatile, providing software developers with a good learning curve. Its coding is well-structured and simple, making it easy for developers to write simplified syntaxes effortlessly.
Since Python focuses on readability, in case you are short of resources in a particular project and want to hire some dedicated Python developers, they do not find it difficult to understand the code.
This saves a lot of time in training new joiners and ensures quick completion of the project. On considering those features many software developing firms around the world prefer this programming language for developing software applications for Fortune 500 companies.
You need not pay for using Python as a programming language since it is open source and available for free.
This is one of the best benefits of Python because it has a great and large community that supports you with any coding issues or in providing development expertise.
Most of the top companies have developed their web applications using Python, and by now you should have known that the Python community has more experts’ support.
Since Python is a sophisticated programming language with all features built-in, it has a huge library for machine learning, web app development, and mobile app development. This attracts developers to prefer Python for any application development.
Meanwhile, by using those versatile libraries prolific developers need not worry about creating new codes for documentation, testing, database integrating, using regular expressions, manipulating images, and so.
Python is a flexible language and is simple to use and easy to learn as well. This is one good reason for developers to create more features with less code.
With this, developers can build numerous prototypes and test all their ideas so quicker only in Python and in any language. So, this is one of the major aspects of Python Pros and Cons.
Using Python indefinitely reduces the company’s operating costs with its effective coding. Building prototypes in Python programming language is simple and can be done quickly, thanks to its agility feature of the language.
Python has Raspberry Pi, which is a new platform that connects your project to the real world. This is how Python may become so familiar with the Internet of Things (IoT).
The documentation attached to Raspberry Pi makes Python a wonderful and powerful programming language.
Well, Raspberry Pi is the most preferred for creating documentations because its easy to use nature. Moreover, Raspberry allows the project to connect to the real world easily.
It is one of the best benefits of Python programming because it uses a single event loop to write coding in small units rather than the following threading. Asynchronous is easy to write and maintain as well.
In addition, developers will find it easy to build asynchronous code in Python programming language, and also maintenance of asynchronous codes can be done without interrupting the resource contention deadlocks and so.
Python supports object-oriented coding, procedural, and functional programming style and hence it is known to be multi-paradigm.
Well, multi-paradigm means it is a feature that allows programming languages to support more than one programming paradigm, where a paradigm refers to a style of building program codes based on the computation models of the project.
Python does not require any creation of an object-oriented class whereas, in Java, you have to do it. Java is not a multi-paradigm like Python to support OO coding and other procedural events.
This factor supports Python’s likeliness of a multi-paradigm approach and ensures limited programming to achieve quick results.
This is one of the reasons that Python stands exceptional from other programming languages like Java.
Startups benefit a lot since they might be required to change their approach in business often until they stabilize.
Using Python in web app development ensures fast development, easy handling of OOP, and rich standard library and ecosystem.
Python allows smooth integration with other languages such as Java, PHP, and .NET used in enterprise application development. Due to this reason, developers highly prefer using Python for enterprise software applications.
By using Python programming language, developers are able to gain direct access control over the various commonly used protocols and data formats along with the implementation controls.
In addition, assembling fragments of Infrastructure over the project becomes easy with the Python language. Well, fragment assembling is the most complex operation to do when building a critical mobile application.
Python is a versatile programming language that provides a wide range of packages and libraries for developing scientific and numeric applications, toolkits, a dedicated imaging library, and several other tools needed for developing such applications.
Also, developing a complex part of the projects becomes easier while using Python programming language when compared with all other existing languages, thanks to the versatile libraries and wide array of toolkits of Python.
Some of the most commonly used applications are SciPy, Pandas, IPython, Numeric Python, and Natural Language Toolkit.
The utilization and implementation of artificial intelligence and machine learning have been increasing according to app users’ expectations towards using apps sophisticatedly.
Python supports the use of AI & machine learning in application development extensively, which is why developers prefer using Python for its flexibility in coding and being adaptive.
Also, the developer can find efficient tools and ML packages in Python language which is best when it comes to data analysis and to build a wide range of services in applications.
Unlike other programming languages, developers can find specialized tools for retrieving the best visualizing results.
One of the best Python advantages is it supports server-side scripting endlessly.
Well, here the server-side scripting referred to as the techniques used for building scripts on the webserver during the development process for a better and customized response for the user/customer requests.
Since it allows simple syntaxes, it fastens up the process primarily and gives the best output. The code contains functional modules and connections between each other and allows you to execute the program algorithm depending on user actions.
Moreover, Python supports graphical user interfaces needed for web development.
Python is highly potential for enabling dynamic semantics and fast prototyping because of its tendency of portability and interactivity.
It does not limit its usage even on a wide range of apps developed using other different coding languages, as it integrates with any other language. This feature supports fixing up new modules and extending Python’s core vocabulary.
On considering the inter-connecting and integrating features of Python programming language, many programming experts mention this Python as the ‘Glue Language’.
By using this, programmers can connect an array of components to their project at ease.
You can write coding for your application development in any language, and down the line, as per your users’ preferences, you may have to add/modify a feature or its attributes too.
In such cases, Python can make the transformation simple without having to rewrite the coding from the beginning.
If you want to add a feature to your existing app of a different programming language, it consumes more time; instead, you can redevelop the entire app in Python effortlessly.
So, if you are a developer who prolific builds complex codes in C or C++, you can simply use it on Python programming language.
Python enables strong scripting capabilities to your code written in the other language.
You can do this by simply embedding your Python code into the source code of another programming language.
Therefore along with delivering extensibility, the Python language is embeddable as well.
This feature eases the developers on building complex applications on other programming languages, by creating complex coding parts in Python and simply using it on the source code of their project.
Till now we saw the advantages of Python out of Python Pros and Cons, but you should also know that any great programming language can have disadvantages as well.
It is essential to be aware of the pros and cons of Python, before using it on building an entire project so that you are able to sort out any type of situation during the development process.
Now, take a look over the consequences you may face on your project development while using Python programming language.
Though Python offers many advantages, due to being an interpreted language, it fails to cope up in speed when compared to other programming languages.
If speed is not a criterion for developing your application, then you can prefer Python.
Python is slower when compared with other programming languages mainly because of the Global Interpreter Lock (GIL). Well, GIL doesn’t support multi-threading and allows only one thread at a time.
Python is not good with threading due to the presence of a global interpreter lock (GIL). GIL restricts Python from executing multiple threads at a time and allows only one thread to be executed.
This may impact the app’s performance while implementing machine learning or IoT due to executing single threading.
But this also can be addressed with implementing multiprocessing programs rather than the multithreaded ones.
As mentioned earlier, the GIL feature plays a significant impact on the slowness of the applications developed using the Python programming language.
Python does not support native mobile app development. It is considered a weak programming language for mobile computing by a certain group of mobile app developers.
Python does not support mobile app development on platforms like Android or iOS. Yet, you can use Python for mobile development purposes, but it may require great effort.
By using the versatile libraries, frameworks and other features applications for Android and iOS platforms can be developed using Python.
Though native mobile app development is not highly in demand, still there are enterprises preferring native mobile applications for their internal usages.
Developers who use Python have stated several issues with language design. Since the language is dynamically printed, it enables more and more testing and any errors thrown will be shown up only at the runtime.
Being a dynamic programming language, developers are restricted to declare the variable types while developing codes.
Owing to these reasons, many developers will face several run-time errors while executing applications built on Python programming language.
Most developers focus on working with Java more than Python because it has a great library, speed, and performance of any application developed.
So there are only fewer developers who like to work in Python. The major crowd will be newbies who find Python an interesting language because it is quick to learn.
So unlike the Java programming language, finding well-experienced programmers for Python is a tough thing.
Also, many programming experts prefer not to build complex applications fully by using Python.
Without multiprocessing, it is difficult to write code for an application. Though Python does support multiprocessor, yet it is not much flexible when compared to other languages. It has certain limitations while writing the code.
Again, the presence of GIL (global interpreter lock) plays a vital role in dragging Python programming language from becoming a prolific multiprocessor language.
Because of this, developers need to face certain restrictions on utilizing Python codes on certain parts of their source code.
It is a fact that Python is known for its flexibility of data types, due to which it ends up in high memory consumption, making it inconvenient to perform memory-intensive tasks.
Because of the flexible data types handled by the Python codes, these data types eat a lot of memory space making it harder for the application that requires more memory.
Apart from that flexible data types, Python does have the nature of collecting garbage automatically when the implemented objects go out of the project scope.
These parts have a heavy impact on Python’s large memory consumption.
Python is less applied in huge enterprises when compared to often and widely-used technologies such as Java database connectivity and Open database connectivity.
It happens because of Python’s database access layers being not developed completely.
Owing to this nature of Python programming language, developers are restricted to use Python language for building enterprise-level applications that carry smooth interaction of complex data.
Python being a very simple language could also be a problem indeed. It restricts developers from learning other languages because not every time you may have the necessity of developing an application using Python alone.
Developers often get enough coding space for learning other languages, however, in case of using Python; the simplicity of Python doesn’t create space for developers for learning other languages.
Which means, programmers are encircled within Python rather than expanding their programming skill on other languages. This could be considered one of the main cons of Python.
Developers find coding with Python very difficult in developing enterprise-level applications because of the reusability of the code extensively.
Sometimes, it gives developers the impression that GitHub-like tools can make it simpler for data scientists and programmers in archiving their code so that others can access and use it. But it is not the case when it comes to reality.
The more complex the app gets, the more complex the code as well. When companies plan bigger to achieve, many developers get involved in coding.
In such cases when one modifies a code, the other may re-modify it again in order to achieve its desired output. In the end, developers may not be able to identify their code if present in the backend or not.
This article could be an aid for whether to choose Python as your programming language or not. These pros and cons of Python are real-time feedback of developers for the benefit of future developers and app owners.
If you aim to create simple and clear applications, then Python can be your best option, but the same may not apply if you plan for enterprise-level applications.
Advantages of Python can benefit start-ups and new developers for using the language in multiple projects. Keeping the Python Pros and Cons aside, it is a great programming language to use.
We hope you had a great time reading this article and it will help any Python Web Development Company in the long run. Thank You!
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