Python Development Trends
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 2022
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, 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) Automation 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:
• 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. Framework Upgrades 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. Academic Growth 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 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, a Python development company is expected to provide certifications and training to developers. Large communities 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. Desktop GUI 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. Operating Systems 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.