Python has been growing in popularity and growth year after year. StatisticsTimes estimated that python is the fastest-growing programming language worldwide by 2022, and it beat all other languages.
It will be good if you select this programming language for your business web application development.
It is also considered one of the best programming languages for machine learning. So why is it so popular? Let’s see:
1 – Easy to Use
Python language is extremely easy to learn and use for both new and experienced users. Because it is simple and not complex, the programming language is one of the most accessible. This allows for more focus on natural language. The codes are easy to learn and use, and can be written and executed faster than other programming languages.
Guido van Rossum created python back in the 1980s. He made sure that it was a general-purpose language. The simplicity in syntax is one of its main strengths. This allows it to be understood by even amateur developers.
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You can also experiment quickly by changing the code base, which is an interpreted programming language that makes it more popular with all types of developers.
2 Mature and Supportive Python Community
Python was developed more than 30 years ago. This is a long time for any programming language community to mature and support developers of all levels. You can find a lot of documentation, guides, and video tutorials that anyone can use to improve their programming skills.
Many students are introduced to computer science through it. This language is used for research projects and in-depth learning. Learners who are interested in learning data science will be guided by the community.
Programming languages that lack documentation or support from developers will not grow. Python is a long-standing programming language so it doesn’t have such problems. One of the most active programming languages communities is python.
This means that anyone can immediately get help from all levels of developers, from beginners to experts in the community, if they have a problem with python. It is crucial that you get help promptly to avoid delays in project development.
3 Support from Renowned Corporate Sponsors
A corporate sponsor can help programming languages grow faster. Facebook backs PHP, Java by Oracle, and Sun, Visual Basic & C# from Microsoft. Facebook, Amazon Web Services, Google, and particularly Google are all heavily backing Python programming language.
Google adopted the this language in 2006, and has used it for many platforms and applications ever since. Google has invested a lot of money and effort into the development and successful use of the Python language. A dedicated portal was created for python. There are many support tools and documentation for this that developers have access to.
4) There are hundreds of Python Libraries and Frameworks
There is a number of Python libraries available. Thanks to its corporate sponsorship and large supportive community. Many cloud media services offer cross-platform support via library-like tools. This can be very beneficial.
Libraries that have a specific focus include nltk, which is for natural language processing, and scikit-learn which is for machine learning applications.
Many frameworks and libraries for Python language are available, including
- matplotib is a tool for plotting graphs and charts
- SciPy is a software platform for engineering, science and mathematics.
- BeautifulSoup for HTML Parsing and XML
- NumPy is for scientific computing
- Django is server-side web development
5 Versatility, Efficiency and Reliability
Any developer will tell you that the Python language is more efficient than other modern languages. it can be used in almost any environment, so there will never be any performance issues regardless of which platform it is.
Another great thing about the versatility of python is its ability to be used in many environments, including mobile apps, desktop applications and web development. Because of its many applications, python is more appealing to use.
6 Big Data, Machine Learning, and Cloud Computing
Cloud Computing, Machine Learning, and Big Data are the hottest trends in computer science right now. This helps many organizations transform their processes and workflows.
The second most used tool for data science is this language. This is the only tool that can power many data processing tasks in an organization. Because of its many applications and ease of organizing and analyzing data, it is used for most of the research and development.
This is not all. Hundreds of python library are used every day in thousands of machine-learning projects, including TensorFlow, which uses neural networks, and OpenCV, which uses computer vision.
7) First-choice language
Python is the preferred language for students and programmers due to its high demand on the development market. High-demand languages are a popular choice for developers and students.
Programmers and students in data science are increasingly using this language to develop their projects. Data science certification courses include a section on it. This is why the language offers many great career options for students. Because of the many applications available to python one can pursue many career options and not be restricted to one.
8 The Flexibility of Python Language
It allows developers to create new things. A python expert can not only build similar things, but can also try out new ways to create them.
Python does not restrict developers from creating any type of applications. This freedom and flexibility is only available by learning Python.
9 Use of Python in Academics
Because of its many uses in Artificial Intelligence and Deep Learning, python is now being used as the core programming language at schools and colleges.
This is a way it’s increasing the popularity with the developers.
10) Automation
The language is a great tool for automating tasks. There are many tools and modules that can be used, making it even easier. It’s amazing to see that you can easily automate complex tasks by using only the necessary code.
Python is the best tool for automating software testing. It is amazing how easy it is to create automation tools codes.
Conclusion
These are some of the reasons it is growing at an incredible rate. We hope that this article sheds some light on the importance of python and its language.
