To begin with, Python is an object-oriented, general-purpose interpreted, interactive, and high-level programming language. This is easy to learn a programming language and therefore is adopted by many non-programmers such as accountants and scientists.
Features of Python
Python is easy to code, a high-level programming language, and even beginners can learn it in just a few days. However, mastering this language and learning all its advanced concepts, packages and modules might take some more time. Learning basic Python language is very easy, compared to other popular languages like C, C++, and Java. This language is easy to read and its code looks like simple English words. Furthermore, in Python, there is no use of semicolons or brackets, and the indentations define the code block. This language is free and open-source and is completely free to use, even for commercial purposes. It is an extensible programming language and can also be extended into other languages like C++. To further know about it, one can visit Python Training in Delhi. Apart from these, given below are some of the significant features of Python.
Robust Standard Library
Python comes with an extensive standard library available for anyone to use. This library ensures that programmers don’t have to write their code for every single thing. In Python, there are libraries for image manipulation, databases, unit testing, expressions, and a lot of other functionalities.
This is an interpreted programming language and its source code is executed line by line, and not all at once. Most programming languages such as C++ or Java are not interpreted, and hence need to be compiled first to run them. However, there is no such need to compile Python because it is processed at runtime by the interpreter.
Python is a portable programming language and it allows users to use the same code on different machines. In addition, it allows you to run the same code on Mac, Windows, or Linux. Furthermore, with Python, there is no need to write a program multiple times for several platforms.
Object-Oriented and Procedure-Oriented
Python is an object-oriented programming language and it focuses design around data and objects, rather than functions and logic. In addition, one of the significant Python features is that it supports both object-oriented and procedure-oriented programming.
Support for GUI
It supports GUI or Graphical User Interface and allows users to easily interact with the software. In addition, Python offers various toolkits, such as Tkinter, wxPython, and JPython, which allows for GUI’s easy and fast development.
Uses of Python
Python is an easy-to-use language ideal for those who are new to coding and programming. It is a great choice to start building your programming knowledge. In addition, it has a simple syntax more like English and there is a community that supports and develops the ecosystem. It is a highly versatile language and is useful for multiple purposes. Given below are some of the practical uses of Python.
- AI and machine learning
- Data Analytics
- Data visualization
- Programming applications
- Web development
- Game development
- Language development
Career Opportunities in Python
Python is one of the most promising careers you can start in the IT domain. Skilled Python developers are in high demand because the language is so popular and widely used. Furthermore, this language is an optimum solution for many different areas. It is not only one of the most widely used programming languages in the world, but it also has some of the most promising job prospects. Skilled developers in Python are in high demand in India, and their salaries reflect that. This language is useful for various purposes like developing websites and software, task automation, data analysis, and data visualization. Thus, generating numerous high-paying career opportunities in it. Many institutes provide Python Online Training and one can enroll in them to start a career in it. Below are some of the job opportunities you can explore after learning Python.
- Product Manager
- Data Analyst
- Software Engineer
- Machine Learning Engineer
- Full Stack Developer
- Software Developer
- DevOps Engineer
- Data Scientist
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