7

Why a Python Web Development Company Will be In Demand in the Future?

 2 years ago
source link: https://dev.to/margaretd/why-a-python-web-development-company-will-be-in-demand-in-the-future-2e8j
Go to the source link to view the article. You can view the picture content, updated content and better typesetting reading experience. If the link is broken, please click the button below to view the snapshot at that time.
neoserver,ios ssh client
Cover image for Why a Python Web Development Company Will be In Demand in the Future?
Margaret D

Posted on Nov 1

Why a Python Web Development Company Will be In Demand in the Future?

Python is one of the best programming/development languages in the world, and all for good reasons. With its ability to execute the modern programming requirements, not to mention operationalizing artificial intelligence and machine learning into our daily lives, Python is pivotal to live the future we so desire.

Within the world of development, web development is quickly gaining popularity among other forms of solutions. Merging web development with Python, we have got a wide range of opportunities to decipher and implement.

Every business leader needs to make the decision about which programming language the company will adopt so that the journey to the future becomes easier, smoother, and adaptable. With Python already showing the signs of being a future-oriented programming language, it may make a choice easier.

But that is not enough to hire a Python web development company or in-house programmers. That’s why you must go through this article to understand why Python is your ideal choice for future-oriented web development.

What is Python, and Why Must You Use it for Web App Development?

Python’s a high-level object-oriented coding language. While focusing on Rapid Action Development, Python offers simple syntax, indentation rigidity, and easy code readability.

It’s a powerful language compatible with Windows, Mac, and Linux-based systems. Added to this, Python’s object-oriented programming approach is useful in writing clear and logical code for all sorts of development projects.

Here’s an overview of development activities what you can do with Python;

  • Create web applications on the server
  • Create workflows while developing a software
  • Python can be used to connect and communicate with databases.
  • It can be used to read and modify files.
  • You can use Python programming to handle big data and complex solutions.
  • Complete rapid prototyping or production-ready software development with Python.

Python is a popular programming language. The Stack Overflow Survey of 2021 finds that 48.24% of programmers love to work with Python after JavaScript and HTML/CSS.

And the TIOBE Index also shares a similar analysis where in October 2020, Python ranked third, but in October 2021, Python has achieved the first rank.

Source: TIOBE

Python’s popularity is not unfounded. There are several reasons behind it, or we can say that there are several benefits of using Python.

1. Cross-Platform Development:

Python has seamless compatibility with Android, iOS, Linux, Mac, and Windows operating systems. This makes it an efficient and versatile programming language and helps produce flawless code. The coding part is, of course, dependent on the developer, but writing this sort of code with Python is easier.

Besides full compatibility with the operating system, you can build front-end and back-end services with Python. Lastly, it's a write once run anywhere type of language. Provided that you are using the right framework, you can write the Python code once and run it on Android, iOS, Windows, etc.

2. Vast Libraries:

Python has a wide range and variety of libraries that make coding quick, efficient, and reliable. There are over 137,000 Python libraries available today. While hiring a Python development company, make sure to ask them what libraries the developers there have worked with.

You don't need someone who has experience with every single one of these libraries, but you need someone who has worked with the best ones. These libraries help fast-track the development of web applications and other digital solutions.

They provide editable code scripts for different technologies and functions like image recognition, AI, ML, data visualization, etc. To sum it up, Python libraries make it easier to complete and build the complex aspects of an application.

3. Easy to Learn:

First, Python has extensive use cases and applications. On the other hand, it is easy to learn and use. Anyone who has basic technical knowledge about coding can easily grasp the syntax and other aspects of Python.

This easy to learn aspect also makes Python a popular language and one of the reasons why Python’s future fate is sealed and meant to be strong, prevalent, and sustainable.

Plus, we found on the Stack Overflow survey that 22,006 respondents who are working with JavaScript want to work with Python. The same story applies to several other programming languages.

Image description

The numbers are 19,884 for HTML/CSS and 12,995 for Java. So, we can say that as more programmers are wanting to work with Python, they must also understand its utility with reference to the future programming requirements.

Image description

Source: Stackoverflow Survey

4. An Amazing Community:

One could only imagine the extent of community support enjoyed by Python developers seeing to its popularity. From writing the code to understanding its potential, finding bugs, writing a specific function, etc., there is help available in Python.

A Python web development services company will get access to an extensive support system for development. Take it in this way; the Python web development companies don’t need to provide separate reskilling or upskilling lessons to their developers.

They can access the same from free YouTube channels or follow other Python developers on GitHub. In the future, this support structure will only grow stronger and better because Python as a programming language is continuously becoming better.

5. Asynchronous Coding in Python:

Asynchronous coding allows running a small unit of the application separately from the primary application. This makes Python a modular programming language where the developers can create modules of the entire application.

These modules run separately from other modules, but once they are joined together, they work as a single unit. Asynchronous programming allows a Python web development company to build applications with better performance and responsiveness.

6. In-Built Testing Units:

Testing a web application before its launch is crucial. Testing takes time, but it takes relatively little time in Python because the testing framework is built within Python.

This implies that Python has unit tests that simplify text execution and accelerate report generation. This is done with Unittest, a testing framework of the Java Programming language, but also a default testing framework for web applications built with Python.

Signs Why Python is the Programming Language of the Future

Image description

Python’s versatility is provided by its functions, features, and possibilities. The same aspects will take Python to the next level. Here are a few aspects to prove that Python is gearing up for a better and bigger place in the development world.

  • Automating tasks:

Although it’s an existing component used by expert Python web development services providers, task automation is one of the futuristic components of Python.

While working on Python, the developers can write scripts that make it possible to introduce automation into a solution or program. For instance, you can write the code to automate the promotional aspects of a blog. The thing where you get the option to post the blog on social media automatically after writing and publishing is a simple example.

Also, chatbots with automated functions are also built with Python and continue to see improvement in the same. Along with text, the automation-led chatbots can be added with voice support and NLP introduced by Python.

  • Machine Learning:

We analyzed a post by IBM stating why Python is a preferred language for machine learning.

While most of the aspects mentioned in the post are similar to those discussed above, semantics and open-source make writing machine learning programs with Python possible.

The Python syntax has got accolades for being simple and math-like. On the one hand, the simple syntax makes it easier to understand, learn, and execute. The math-like structure is especially useful when writing code scripts for machine learning.

The open-source part of this programming language helps to customize Python according to the requirements. This adds another layer of flexibility. And with the dynamics of the present and the future, we need a programming language that can be customized according to the requirements.

Pro-tip; when you understand the elements of choosing the best Python development company, their understanding of data and of the process of harnessing the data is important.

This is because the extent of data we will generate in the future will be far more and bigger than what we are doing today. The data is going to be raw, unstructured, and fragmented. Python has the power and ability to deal with all these issues.

  • Python for Data Science:

Moving one step ahead from the machine learning and automation tasks, Python is also used for implementation in data sciences. As a result, we have seen several developers working on and presenting new examples of using Python for this purpose.

Case in point, Tensorflow, Numpy, Pandas, Seaborn, and Matplotib. These are the libraries and frameworks that are used by Python developers to develop advanced applications and solutions.

  • Compatibility with Hadoop:

Moving to the last point that books Python’s place as the development language of the future is its integrability with Hadoop. Hadoop is based on Java and uses a series of computers to solve complex problems.

Due to this, Hadoop gets lots of data and information that needs processing. Here are some development activities that you can do with Python, one it has a math-like structure, which makes it easier to solve complex problems. Second, Python is also able to process large amounts of data.

Hence, with Hadoop compatibility, we can use Python to create a large network of computers that can easily handle and process large amounts of data.

Any Python web development company, which has not yet explored the above-given aspects, risks losing value in the future. Python has proved its potential to become the go-to language for developing complex and data-intensive applications in the future.

Big Companies using Python Today and Might do in Future

Python’s importance and the examples of its applications are available almost everywhere. For those who don’t know, YouTube is made with Python. Look at the amount of data the platform generates every day. Still, it runs smoothly and has become one of the most active online platforms globally.

Here are some of the biggest companies using Python;

Image description
  • Google: Google’s YouTube is the biggest user of Python, and it's everywhere. From view video counter to controlling the website templates, administer videos, accessing canonical data, etc.

And that’s not it! The guys responsible for YouTube development at Google are not sitting idle and maintaining the platform. They are regularly working on making YouTube even better, and that too by using Python.

  • Instagram: Owned by Facebook now, Instagram is one of the biggest social media platforms, and it uses Python. A Python web development services company must make an effort to understand how Instagram is using Python for its development aspects.

Instagram uses Python to implement the business logic to fulfill the requirements of more than 1.3 billion active users. Specifically, Instagram uses CPython as a runtime system to execute the code.

  • Netflix: Another online video streaming platform giant, Netflix also uses Python but for limited functionality. But out of them, the part where Netflix sends suggestions to its users is built and executed with Python.

In addition to this, Python is also used for security automation, auto-remediation, risk classification, and vulnerability identification on Netflix.

  • Facebook: 1/4th of Facebook’s code is written in Python. Because Python has an amazing compatibility with other programming languages, the developers here won’t face any issue with fusing different languages together.

Two Facebook teams use Python extensively, and these are infrastructure and production engineering.

  • Uber: If all these companies are using Python, how can the ridesharing giant Uber miss out on Python. Uber’s usage of Python includes functions like SDK installation, creating an Uber session, obtaining the list of available products, price, time estimates, ride requests, etc.

The majority of the data-intensive functions on Uber are executed with the help of Python code. So when you are looking to hire a Python web development company, their understanding of how these big companies are using Python is an important factor to judge their potential.

Platforms that Will Take Python into the Future

Python cannot single-handedly stream into the future and become the favorite programming language. Its reliability and sustainability in the future is based on these platforms;

  • Flask: Flask is a microservices-based platform, which is a handy coding method today and for the future. Also, Flask speeds up the development process while maintaining Python’s initial “easy-to-use” benefit.

Among other aspects of Python development, Flask is effective for building web applications and services.

  • Pandas: Pandas is another one of the best platforms on Python used for building web applications and organizing large amounts of data. Furthermore, it is also used to build solutions that employ artificial intelligence and machine learning.

Is there anything that Can Thwart Python’s Success in the Future?

Python development services are not ideal in every respect. There are some areas where it lacks and others where it needs improvement. Here are some disadvantages of Python you must consider before pinning all your future hopes on it.

1. Python’s Speed is Low:

With all the talk about Python being an amazing interpreted language and a dynamically typed language, Python’s line-by-line code execution makes it slow.

Added to this, the dynamic nature of Python also makes it slow. This means the for projects where speed is crucial, Python may not be an ideal choice.

2. Low Memory Optimization:

Python may be simple to develop and execute, but it is not a memory-efficient programming language. As Python uses large amounts of memory, applications that need to be memory efficient are not ideal to be developed with Python.

3. Access to Database:

Python lacks the level of efficiency it possesses with reference to coding, in database linkage, and access. A Python web development company will find that Python’s database layer is underdeveloped and traditional compared to younger and more advanced databases.

Conclusion

Without a doubt, Python is the best programming language to be built ever. It has applications in the present and has a great potential to fulfill the requirements of futuristic programming.

With a simple code syntax, a large number of libraries, and extensive community support, Python web development services become easier, faster, and more accurate.

It has gained impressive popularity in the last few years and continues to do so as you are reading this article. With everything considered, it might be a good choice to switch to Python and start your journey towards the future with a new approach and more possibilities.


About Joyk


Aggregate valuable and interesting links.
Joyk means Joy of geeK