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Python will be celebrating its 30th anniversary in the year 2021. It will successfully complete its three decades in the arena and has successfully given many other significant programming languages a great competition. So it is very obvious that Python is definitely going to be pretty important for software developers even in the upcoming year.
 
Python is a general-purpose, high-level, and interpreted programming language. In today’s time, it is one amongst the fastest growing programming languages and is used in various domains when it comes to the tech industry. Python is pacing fast on its path to becoming the most popular programming language in the world. The significant giants in the market like Uber, Instagram, Facebook, and Amazon have used Python in order to develop their mobile and desktop application.
 

Why is Python Important?

 
Why is Python Important
 
Now that you know the scope of things that can be done with Python is limitless and also the Python Development Trends 2021, we will be describing some of the most crucial real-world applications of the Python Programming Language.
 
Web Development
 
Python is an incredible choice when it comes to the rapid development of web applications. With the various frameworks like Flask, Pyramid, and Django, you can build different web apps with an incredible speed. It is pretty much used on the web development’s server-side. Python can also be used for interacting with the database and also building the Rest of the API services.
 
Data Science
 
At one point in time, the use of Python was just limited to building the applications and writing the scripts in order to automate the tasks, but in recent times the current trend of data sciences had boosted Python-like never before. The people working in the arena of Data sciences depend a lot on Python. This is because of the advantages it comes with, like the simplicity, ability to compute massive calculations easily, and the incredible community it has to offer.
 

The popular Python frameworks and libraries that are famous in the field of data sciences are:

 
• Tensorflow, Keras (Machine And Deep Learning)
• Scikit-Learn (Machine Learning)
• Matplotlib, Seaborn (Data Visualizations)
• Numpy (Scientific and Numeric Calculations)
• Pandas (Data Analysis)
 
Artificial Intelligence
 
Artificial Intelligence will be the big thing in upcoming times. The current Trend in Python calls for it. Machines and computers were used at some point to perform calculations at a really very fast speed, but now numerous researchers and big organizations are working hard towards building the intelligent systems that have the potential of performing the tasks that humans can. In today’s time, to a lot extent, the machines have the ability of understanding the natural language and human emotions. They can also mimic a few actions that humans perform, and it wasn’t possible in the past. Yet again, Python is a well-known programming language when it comes to building the AI systems.
 

A few Python libraries used for the building of intelligent systems are as follows:

 
• Microsoft Cognitive Toolkit – (Deep Learning Framework)
• Keras – (Deep Learning Library)
• OpenCV – (Open-source computer vision library)
• NLTK – (Natural Language Toolkit for Natural Language Processing)
 
Automation
 
Python has the ability of making your life super easy as it can automate various tasks like to automate the test cases in the areas of software development, scrape off a website in order to collect data, and also automating monotonous office tasks. Python can very easily access and also read each and every type of file that opens up the opportunity of saving your time by automating the recurring tasks.
 

The library of popular python development frameworks that are used for the automation are as follows:

 
• PyUnit
• Selenium Python
• PyTest
• Robot Framework
 
Python is put into use in various fields and is fetching incredible results, and there are no signs of stopping. It is pretty safe to say that Python will be sticking in the long run in this evolving and ever-changing IT industry.
 

Why Will Python Be Buzzing In The Year 2021?

 
Why Will Python Be Buzzing In The Year 2021
 
• Python has seen a massive growth in its demand in recent times and does not show any sign of a slow down
• It ranks second in the most in-demand programming languages.
• After a considerable growth of about 50 percent in the last year, Python is expected to rank up further in 2021.
• Python has seen an increasingly upward trend even though it is a mainstream language.
• Python is a language that is preferred for performing various tasks of machine learning, thanks to the numerous libraries.
• Libraries like Pandas, TensorFlow, and NumPy prove to be useful when it comes to artificial intelligence and machine learning.
• All in all, if you are someone in the field of machine learning, then Python is definitely the best of all options.
 

Listing The Top 7 Python Development Trends 2021

 

Below is the list of python development trends for 2021

 
• Artificial Intelligence
• Data Science
• Web Development
• Machine Learning
• Embedded Application>
• Game Development
• Business Application
 
Artificial Intelligence
 
AI, as we all know, has become one of the most revolutionizing trends of all time, and many companies wish to implement it in their everyday business processes. For this to happen, a programming language is needed that can simplify the process of developing projects on AI. This is why Python is one of the most trusted options. From having a pretty simple syntax to handling crucial processes, Python comes into the picture and is definitely the best option when it comes to artificial intelligence. AI is a technology that is coming up these days and has
 
brought about a revolution in the way scientists bring about solutions to real-time problems. Python is thus a preferred option for AI development.
 
Data Science
 
One of the fastest-growing uses of Python is in the arena of Data sciences. There are numerous reasons that have made this incredible reach of Python possible. One of the prime reasons is its ease of learning. A python is a nifty tool that comes with a plethora of advantages when it comes to data sciences. It is very well integrated into many other languages and also has a wide range of libraries. In the arena of data sciences, it is safe to say that Python is a game-changer. Overall, Python is one of the best choices for numerous data scientists across the globe.
 
Web Development
 
Python is used by developers in various fields for different things. This includes artificial intelligence, deep learning, and web development. The trends in the IT industry for the year 2021 predicts much more development in technologies like AI, AR, IoT, and many others. So as to reduce the costs, companies will prefer the no-coding platforms, PWAs, and clouds. Putting Python into use for the websites will help you in competing with significant platforms like Microsoft, Facebook, and Google because even they use Python as their programming language. Python web development has the potential of performing various functions ranging from developing a website to managing the cloud infrastructures.
 
Machine Learning
 
Due to its wide plethora of features, Python is gaining more and more popularity when it comes to projects about Machine Learning. You can find it almost everywhere, practically because of the dynamic and high-level language it is. It also has numerous advantages that enable the developers of Machine learning to use it for the development of their projects of Machine learning. As compared to other languages, Python is a pretty flexible programming language. It also helps to make it pretty accessible for the purpose of machine learning. This is because it requires understanding the scenarios on the basis of particular patterns. What is more, it also has various special libraries that are incorporated into it. These libraries are full of logical and mathematical operations that are an imperative methodology when it comes to machine learning.
 
Embedded Application
 
Python is dependent on the C language, and that basically means it is pretty useful in creating Embedded C Software for the embedded applications. It, in fact, also helps in performing the high-level applications on the small devices that can compute the Python language. Raspberry Pi can be considered as the most famous embedded application that uses Python for the projects of cloud computing. Also, in order to perform top-notch computations, it can be used as a computer or even like a simple embedded board.
 
Game Development
 
When you think of building a computer game from square one, the most important decision you need to make is the programming language that you will be using. You might not know this, but games like World Of Tanks, Battlefield, The Sims, and many other significant games were developed by using the Python language. So if you are someone with a limited knowledge on the Python language, you should begin learning more about the intricacies of it. The best way of improving the understanding regarding the use of the programming language in a new game is by practicing on a Sudoku GUI in Python.
 
Business Applications
 
When talking about Python Trends 2021, the business applications are way different from the regular applications that cover the arena like ERP, e-commerce, etc. In reality, they need applications that are readable, extensible as well as scalable. Python has the capability of providing it all. We have platforms like Tryton that are available to develop a business application.
 

Some Development Frameworks To Look At In 2021

 

 
There are some major python development platforms that you should definitely look at and try to use in 2021 if you are not using them already.
 

The future of python development is dependent on these platforms.

 
Flask
 
Flask is the first python development framework on our list. When it comes to developing web applications, you can choose either Django or Flask. Flask is very lightweight, though when compared to full-fledged web applications, as Flask is a microservices-based service.
 
Flask can mean a faster and more development cycle for python users and can be useful when a user needs any app or service quickly. Moreover, Flask is very easy to use too. For
 
intermediate-level python users, Flask is a really excellent option to start developing web applications and services.
 
Reddit, the famous social media network, is also written in HTTP framework Flask.
 
Flask can also help startups to prepare their MVP very quickly and efficiently. Flask also has great community support behind it, and hence you can answer your problems very easily.
 
Moreover, Flask has a very clean and easy to understand documentation, and hence learning it is also easy for anyone using it.
 

  • Jupyter
     
    The next one on the list is Jupyter. Jupyter is a very friendly and easy to understand framework. Jupyter notebook is very easy to understand, and for someone who teaches python or any such related programming language, Jupyter is a very efficient framework. It is very simple to understand, can be used with a very brief explanation, and is easily accessible to anyone.
     
    For beginners, it is very easy to use and understand instead of CLI. CLI can be boring for beginners; however, the Jupyter notebook has a very nice and clean interface itself.
     
    You can directly write your slides and your notes into the Jupyter notebook, and the learners can easily make their own notes out of it. Hence, for someone teaching as well as for someone learning, Jupyter notebook is a great platform.
     
    However, Jupyter has some flaws. It is not that good when it comes to source control. It can suffer from installation woes and incompatibilities in that area easily.
     
    Pandas
     
    Pandas is yet another framework when you want to develop web applications. It is pretty well organized for dealing with large datasets. It is considered one of the best frameworks to develop and use artificial intelligence and machine intelligence software.
     
    Generally, a large custom script of data transformation will take a long time to process and run; however, this is not the case with Pandas. It imports data, runs set-based operations, and processes large datasets in a very short amount of time. You can also check the results before exporting the results too.
     
    As Artificial Intelligence is gaining traction with time, Pandas is gaining traction too. The future of python development is dependent on these platforms. Companies generally look at users of this framework when they want to hire python developers in India.
     
    Django
     
    The last framework on this list is Django. It is a very popular Python framework.
     
    Django helps developers in developing applications in a lesser amount of code. Django has a very special feature to itself, i.e., an object-relational mapper(ORM).
     
    Django is a phenomenal migration engine, thanks to this ORM. The Django subsystem allows for highly automated schema changes.
     

    Python developers in India are especially focused on this framework.

     
    Wrapping It Up
     
    Python is ever-rising in today’s time and has proved itself to be worthy enough to be a well-known programming language. Hopefully, the article about the Top python development trends in 2021 will help you to understand why you need to learn the Python Programming Language in order to boost up your career. Zestminds have years of experience and expertise in the arena of Python Development. You can get in touch with us to get Python Development Services for your business by contacting us at info@zestminds.com.
     
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  • Posted byShivam