Python is an interpreted, object-oriented, high-level programming language with dynamic semantics. Its high-level built-in data structures, combined with dynamic typing and dynamic binding, make it very attractive for Rapid application development, as well as for use as a scripting language to connect existing components. Python is simple, easy to learn the syntax, and therefore reduces the cost of program maintenance. Python is used for web development, software development, mathematics, system scripting, and many more. Python was designed for readability and has some similarities to the English language with influence from mathematics. Python uses a new line to complete a command, as opposed to another programming language which often uses semicolons or parentheses. Python works on different platforms (Windows, Mac, Linux, Raspberry, Pi, etc). Python can be treated procedurally, in an object-oriented way, or in a functional way.
Benefits of Python
There are a lot of benefits of python among them some of them are listed below:
Presence of third-party modules: The Python Package Index (PyPI) contains numerous third-party modules that make python capable of interacting with most of the other languages and platforms.
Extensive Support Libraries: Python Provides a large standard library which includes area like internet protocols, string operation, web services tools, and operating system interfaces. Many high-use programming tasks have already been scripted into the standard library which reduces the length of code to be written significantly.
Open-Source Community Development: Python Language is developed under an OSI-approved open-source license, which makes it free to use and distribute including for commercial purposes.
Further, its development is driven by the community which collaborates for its code through hosting conferences and mailing lists and provides for its numerous modules.
Learning Ease and Support Available: Python offers excellent readability and uncluttered simple-to-learn syntax which helps beginners to utilize this programming language. This code style guidelines, PEP 8, provides a set of rules to facilitate the formatting of code. Additionally, the wide base of users and active developers has resulted in a rich internet resource bank to encourage development and the continued adoption of the language.
User-Friendly Data Structures: Python has built-in list and dictionary data structures that can be used to construct fast runtime data structures. Further, python also provides the option of dynamic high-level data typing which reduces the length of support code that is needed.
Productivity and Speed: Python has cleaned object-oriented design, provides enhanced process control capabilities, and possesses strong integration and text processing capabilities and its unit testing framework, all of which contribute to the increase in its speed and productivity. Python is considered a viable option for building complex multi-protocol network applications.
Embeddable: Complimentary to extensible, Python is embeddable as well. You can put your python code in your source code of a different language, like C++.
Readable: Because it is not such a complex language, reading python is like reading English. This is the reason why it is so easy to learn, understand, and code.
It also does not need curly braces to define blocks, and indentation is mandatory. This further aids the readability of the code.
Portable: When you code your project in a language like C++, you may need to make some changes to it if you want to run it on another platform.
But it isn’t the same with Python. Here, you may need to code only once, and you can run it anywhere.
This is called Write Once Run Anywhere (WORA). However, you need to be careful enough not to include any system-dependent features.
Applications of Python
- GUI based desktop application
- Image processing and graphic design application
- Scientific and computational application
- Web Framework and web applications
- Enterprise and business application
- Operating System
Careers opportunity after learning Python
- Python Developer
- Product Manager
- Data Analyst
- Financial Advisor
- Data Journalist
- Software Engineer
- Data Scientist
- Software Developer
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