Trend of Python in the Last Few Years

 

Top Python Trends In The Last Few Years

 


Radical technological changes have happened in the past few years. But one programming language that has remained strong is Python. According to the TIOBE index of programming languages, Python is amongst the third most used programming languages in the world.

This year Python will be celebrating its 30th anniversary. And, when you look at its growth, it has been exceptional. You can measure its popularity by the fact that the top IT companies like Facebook and Amazon use Python programming to develop web applications.

Python's popularity has spread across various verticals, and it covers many industries, from science and education to arts and entertainment, computers, electronics, telecommunication, and more. A Python training course can open doors for numerous job opportunities in these areas.

Python will keep growing in the coming years. As Python is expanding, there have been some noticeable trends in the past few years. Let's take a look at some of the popular trends related to python programming.

Top Python Trends In The Last Few Years


 

Continuous Upgrades In Python Frameworks

Python frameworks offer a significant contribution to the development of Python. You can learn about these libraries and frameworks by enrolling in the best Python bootcamps in your area. Learning them will enable faster provisioning of services with fewer lines of code.  

The open-source community is constantly working on releasing new libraries, framework updates, and plugins for an enhanced user base.

·         Django: Packed with features like authentication, session management, admin interfacing, object-relational mapping, pattern engine, and more, this is perfect for web development. As it is an open-source framework, it receives consistent updates over the plugins to simplify the implementation process. Besides, many third-party libraries also enhance Python's popularity.

·         TurboGears: It is another full-stack framework that fastens the web development process. The inclusion of minimal mode allows it to run as a microframework that helps developers quickly write simple yet powerful web applications.

·         Pyramid: It is a perfect framework for developing web applications quickly. Its popularity is increasing amongst the developers as it helps them code unique web applications. This minimalistic framework offers enough freedom for the developers, and its usage will increase.

Machine Learning

Features like flexibility, adaptability make it popular for machine learning and AI projects. Python is based on the libraries like Pandas, Tensor-flow, Pytorch, Matplotlib, Scikit, and NumPy to make data processing pipelines, implement machine learning algorithms and statistics and proceed towards visualization to support the full developmental cycle.

Data Science

The Data science market is growing as more and more industries are adopting it. The current trend in data science has boosted the use of Python as about 50 percent of developers use it. Python has many libraries and frameworks like Tensor-flow, Keras, Pandas, Matplotlib, Seaborn, Scikit, and NumPy that support the data science process. In addition, it offers many advantages such as an incredible community, simplicity, and the ability to compute complex computations.

Artificial Intelligence

It is the next big thing in the coming times. And Python is the preferred programing language when it comes to building AI systems. It's easier to build intelligent systems with its libraries and frameworks like Microsoft Cognitive Toolkit, Keras, OpenCV, and Natural Language ToolKit.

Automation

Python can help in automation and make your life simpler. With frameworks such as PyUnit, Selenium Python, PyTest, and Robot Framework, it can automate many tasks. It can automate office tasks, test cases in software development, and scrapping off websites to collect data. Python offers flexibility and versatility to simplify the automation task.

Embedded Applications

Features like writability, readability, and error reduction make Python popular for the embedded computing. It plays a vital role in empowering real-time embedded systems and control and manage them. Of course, C is the leader, but it is making gradual progress. Raspberry Pi, a famous embedded application, uses Python for cloud computing projects.

Python is a language that encourages even novice developers and programmers to use it. It offers compatibility across different platforms and is simple and cost-effective to use. It has an empowered community that works for the betterment and improvement of the language.

Its community will push it forward with improved capabilities. As it is used for new-age technologies like AI, machine learning, and big data, there will surely be new ways to enrich the language and make it easy to use, robust, and accessible. Therefore, now is the time to enroll in a Python training course to improve your career scope. 


 

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