Python will be celebrating its 30th anniversary in the year 2022. It will successfully complete its three decades in the arena and has successfully given many other significant programming languages 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 of 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. Significant giants in the market like Uber, Instagram, Facebook, and Amazon have used Python in order to develop their mobile and desktop application.
Python’s popularity among global companies such as Facebook, Uber, and others verifies its usefulness. Since Python has grown with new developments, there have been significant improvements in the way applications, software, and digital solutions are developed.
It is beneficial to work with Python for a variety of reasons. Python is both procedural and object-oriented as a programming language. As a result, it has reached the level it is at now.
Therefore, let’s take a look at what are the emerging Python development trends you need to understand in 2023
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 2022–23, we will be describing some of the most crucial real-world applications of the Python Programming Language.
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 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.
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 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 toward building intelligent systems that have the potential of performing the tasks that humans can. In today’s time, to a lot extent, machines have the ability to understand 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 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)
Python has the ability to make your life super easy as it can automate various tasks like automating the test cases in the areas of software development, scraping 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 which 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:
• Selenium Python
• 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.
The Python community is expanding at a rapid pace, and Python frameworks are among the fastest-changing technologies in the world today. Therefore, companies need to keep an eye on the updates that these frameworks receive over time.
Among the top Python frameworks expected to see major updates in the coming year are Django, TurboGears, CherryPy, and Pyramid. By adding plugins and updating the system, the developers are expected to reduce development time.
Python is the most common programming language studied and taught in colleges and universities today. It is taught in a variety of courses around the world. Schools will focus on teaching Python in 2022–23 so that students will have better career prospects.
Additionally, companies are training their existing programmers and developers in Python to take advantage of the technology. By 2022–23, a Python development company is expected to provide certifications and training to developers.
Getting assistance can shorten the learning process. The people who help are usually friends. You can always use Google if you cannot find a friend in your vicinity.
Python has a huge online presence in the form of communities in addition to being easy. Both the pros and beginners benefit from the knowledge imparted by these communities.
In addition to its English-like syntax, Python also has a modular architecture and is capable of operating on a wide range of operating systems. Python’s rich text processing capabilities, combined with these aspects, make it an excellent choice for desktop GUI development.
It is easy to develop desktop applications using Python’s toolkits and frameworks. Some of the best Python-based GUI frameworks that can be used to develop highly functional Graphical User Interfaces (GUIs) include PyQt, PyGtk, Kivy, Tkinter, WxPython, PyGUI, and PySide.
Education programs and training courses
Python is the best language for beginners. Python’s syntax is straightforward and similar to that of English, as we’ve said many times before. It is an excellent choice for beginners since it has a short learning curve. Easy learning curves and simplicity are the main reasons Python is one of the most commonly used programming languages in educational programs, both for beginners and for advanced users.
Although Python is great as an introductory language, professional coders and developers all over the world use it extensively.
In fact, Python is a secret ingredient in most Linux distributions as well as many other operating systems. Ubiquity Installer for Ubuntu and Anaconda Installer for Fedora and Red Hat Enterprise are Python-based. The Python Portage system (package management system) is even used by Gentoo Linux. Operating systems are usually designed and developed with Python and C.
Web Scraping Applications
The Python programming language is an excellent tool for extracting massive amounts of data from websites and web pages. Different real-world processes use the pulled data, such as job listings, price comparisons, research, and development, etc.
Among the best Python web scraping tools are BeautifulSoup, MechanicalSoup, Scrapy, LXML, Python Requests, Selenium, and urllib.
Image Processing and Graphic Design Applications:
Aside from all the uses previously mentioned, Python also finds an application in image processing and graphic design. Programs like Inkscape, GIMP, Paint Shop Pro and Scribus are designed and created using this programming language. The Python programming language is also used in many 3D animation programs, including Blender, Houdini, 3ds Max, Maya, Cinema 4D, and Lightwave, to name a few.
Why Will Python Be Buzzing In The Year 2022–23?
• Python has seen massive growth in its demand in recent times and does not show any sign of a slowdown
• 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 2022–23.
• 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 2022–23
Below is the list of python development trends for 2022–23
• Artificial Intelligence
• Data Science
• Web Development
• Machine Learning
• Embedded Application>
• Game Development
• Business Application
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.
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.
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 2022–23 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 cloud infrastructures.
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.
Python is dependent on the C language, and that basically means it is pretty useful in creating Embedded C Software for 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.
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 piece of limited knowledge of the Python language, you should begin learning more about its 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.
When talking about Python Trends 2022–23, 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 2022–23
There are some major python development platforms that you should definitely look at and try to use in 2022–23 if you are not using them already.
The future of python development is dependent on these platforms
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.
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 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.
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
Developers can build web applications in less time with CherryPy’s object-oriented framework. One of Python’s oldest frameworks, CherryPy is easy to use. It was developed in 2002 and released the following year. Portable database applications can be developed using this framework. Indigo Domotics, Hulu, and Netflix are renowned companies that use this framework.
A micro web framework based on the WSGI (Web Server Gateway Interface), Bottle is extremely fast, easy to learn, and compatible. APIs are built using this framework. Developers can work closely with their hardware using Bottle. There are many companies that use the Bottle framework, including Sotong Kitchen and Payasa Data.
Developers use CubicWeb to reuse components to build web applications. In this framework, the focus is completely on quality solutions, efficiency, and reusability. Furthermore, CubicWeb gives end users greater control over how content is displayed.
Industries where Python is prevalent
Python is widely used in the public sector. The electronics and manufacturing industries also use it extensively.
The retail or finance industries are less familiar to me, so I wonder why the language hasn’t developed there much.
Is Python traffic growing more quickly in some industries than others?
Last year, Python’s popularity spread across a wide range of industries, at least in the UK and the US.
The most widely used language in many of these sectors is Java, but Python has made significant progress. Python is second in popularity to Java in the finance sector, for example. This was not the case a year ago.