Pros and Cons of Python Language that every developer should know

Powerful Programming languages are showing up for decades and with the launch of every other new language, developers are becoming more ambitious to hunt it.

Some languages go very high with innumerable benefits and compatibility they provide to developers and some other languages turn out to be a pitfall.

According to a report from the latest TIOBE programming community index, Python is declared as one of the popular programming languages of 2017, and still, the demand for Python heightened up in a couple of years.

So what is the reason behind the immense popularity of the Python language? What kind of features of Python impressed the technical world?

To know everything about Python its advantages disadvantages and other essential things you need to stay highly focused on this revealing blog.

Are you ready to take in the best information on Python?

Python is known to be a dynamic, flexible, and high-potential programming language that every programmer likes to prefer over traditional languages such as C++ and Java.

One can leverage Python for building desktop GUI applications, Websites, and also web applications. The simple syntax rules of the programming languages truly fascinated the programmers to go for it as it provides a simple way to read and refine the code and as well as application maintenance is smooth and uncomplicated.

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Do you know most of the leading and remarkable apps have been built by embedding Python Language? 

That’s true, the highly popular social media app Instagram, Music streaming app Spotify, and the best commenting plugin Disqus used Python as a core programming language

By looking at the above examples you might be wondering right?

But that’s the fact Python is widely used as a high-level programming language flooding across a variety of niches including Travel, education, entertainment, social media, and more. 

Why it was preferred by those big companies? 

So now it’s time for you to learn about the 

Advantages of Python Language that makes it Superior

Beginner Friendly

Python is an outstanding platform for newbies who are looking to enter the coding field. The programming language is very easy to learn as it offers easy and simplified code without more technicalities.

It is termed as one of the Beginner-friendly languages for those who don’t hold experience in the programming field, as Python code could be easily written with simple syntax and executed quicker than any other programming language.

Experimentation is easy with the kind of codebase Python provides and that is the prior reason for its popularity in the technological and development space.

Big and Supportive Python Community 

Python was built 30 years ago since then the language is evolving consistently with new features because of backend community support responsible for taking the developers from beginner to expert level.

This community is made up of smart coders, developers, and professionals that are working their level best to bring more productive outcomes from this language.

A lot of many documentation, guides, and video tutorials are accessible for learners to understand entirely the language.

Python development community is considered to be the most active and incredible community in the technological space.

You will get the best and instant support at all levels from beginners to experts from the Python community 

Readable and well-maintainable code 

While thinking to build the best software application you should focus on the quality aspect of the source code as it is essential for making future maintenance and updates more simplified.

As the language is highlighted by the best syntax rules that empower the expression of the code without integrating the additional code.

Unlike the other programming language, python is mainly focused on code readability implies the use of English keywords instead of punctuations 

Standard library 

The huge and excellent standard library overshadows Python over other programming languages.

The standard library carries numerous modules that enable you to choose as per your specific needs. Also, the modules assist you to include functionality without writing extra code.

Just take an example for building a web application based on Python, you can utilize specific modules for implementing web services, perform string operations, handle operating system interfaces, and can work with internet protocols.

Adaptable with Major Platforms and system 

Their only a few platforms that support different operating systems and Python is one of those platforms. You can use Python interpreters to run on specific platforms and tools.

As Python is an interpreted programming language it empowers to compose the same code for multiple platforms without recompilation.

This impactful feature makes it easy and effective for you to modify the code without increasing development time.

Incomparable Flexibility and Extensible 

Python is a highly flexible language that doesn’t remain within itself and can be extended to as many other programming languages.

For example, CPython is a Python version with C, IronPython builds compatible performance with .NET and C#, PyObjc, or Python written with Objective C.

Test-Driven Development 

Python is mostly been used for building Prototypes of software applications quickly and effectively.

It also simplifies the development process by performing coding and testing simultaneously with the adoption of Test Driven Development approach. 

The amazing language empowers you to write tests before even writing code and use it to access the app code continuously.

This test is also used for rectifying the application-specific requirements as per the source code. 

Automation 

Python language smooths out the process with automation tasks, there lot many tools and libraries available that make it possible.

You can touch the advanced level of automation just by using some effective Python codes.

Python is the ultimate performance accelerator that automates software testing also. You will be amazed to know that it uses less time and few lines of code for writing code for automation tools 

Big data, Machine learning, and Cloud Computing 

Cloud Computing, Machine learning, and Big data are roaring in the Computer science world and these technologies are helping the organization for the advancement of the processes and workflow.

Python is the most popular language used for Data science and analytics. Most of the research and development is taking place in Python language due to which one builds a powerful application with rich features and functionalities

By looking at the advantages you might be thrilled to use this language for building new-age applications. But as said no language emerges to be a perfect one 

Most developers hesitate to program around this language because of some flaws.

Let’s examine the painful drawbacks 

Disadvantages of Python Language 

Limitation with speed 

As Python is an interpreted programming language it is slower when compared to any other programming language and requires more computational power

However, due to less speed, the app or website loading time gets increased

Problems related to design 

By coding with Python, developers face some issues when it comes to complicated designs. At the start itself, you hire experienced and proficient developers.

Security 

No need to worry the language is completely secure just you need to take some necessary steps for code safety and security.

The complete problem gets sorted out if you perform the right QA testing.

Work environment 

Before writing the Python code you should have to set up a work environment for it. A lot of issues arise while setting up an environment that even could affect the programming experience of beginners.

According to us opt for Python IDEs that help in setting the required environment for building the best code.

Huge Memory Utilization and Garbage collection 

Python language requires high memory usage and this high memory consumption should be taken care of cautiously. It also utilizes garbage collection which leads to huge memory loss.

Python is Dynamically Typed 

 Developers that work in Data Science and Machine learning projects choose static-type language over dynamically typed language.

As statically typed language automatically minimizes the bugs and errors in the system.

Multithreading in Python  

The Global Interpreter Lock in Python doesn’t enable the execution of more than one thread at a time as one thread can grasp the GIL at one time that empowers it is not truly a Multithreading

For achieving the multithreading nature of Python you could utilize Jython, IronPython, Pypy, or C extension.

Conclusion 

These are the major aspects of the Python programming language that a developer should know about before jumping into the development of an application 

It’s impossible to find out a perfect programming language that fits all kinds of requirements. Similarly, it goes with Python as well, if you analyze the above-mentioned advantages it weighs heavier compared to its flaws. But you can use Python libraries, modules, and frameworks to eradicate these drawbacks.

However, it’s up to you how well you formulate your project requirements with accurate concepts and ideas before choosing Python as the programming language 

Willing to build an application based on Python then you need to get in touch with an expert Python app Development Company like DxMinds that provides you the secure, scalable, and feature-rich applications with the best quality and affordable costing. We have the best team of experienced and professional Python developers who have built incredible and demanding applications based on Python as a primary programming language 

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