How is Python used in Cyber Security

Python is one of the versatile programming language, created by Guido van Rossum between 1985- 1990. An interpreted language, Python has a design that focuses on code readability and allows programmers to write code in fewer lines as compared to others like Java and C++. it has an automatic memory management system that allows it to support numerous programming prototypes such as functional, imperative and procedural.\

Among the numerous options available, Python is still a preferred choice among cyber security professionals. There are a number of factors that make them prefer python as compared to other languages. Some of these are as mentioned below:

• Easy to learn

Python, like Java and C, are much easier to learn as compared to many other programming languages. The user-friendly language works on minimal code and hence, improves code readability, implementation and syntax.

• Easy debugging

Since Python as a programming language that uses minimum code, it gets easier for the programmers to debug the error as well as reduce the risk of language getting complicated and causing issues.

• Wide use

Python is not just limited to a few software packages and products. It, rather, has extensive use and is used to power numerous web products like Google, YouTube, Quora, Reddit, etc.

• Object-oriented language

 Learning Python enables an individual to gain an understanding about several other object-oriented languages such as Java, C++ and C#. All one needs to learn is the syntax of the new language.

• Open-source language

 Python is available at zero cost to the developers. This, in turn, makes it a preferred choice among many developers and companies. Moreover, the language is so simple to use that it increases its appeal to the smaller teams.

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• High-performance

The use of Python is not just limited to help business grow and attain results but it also very useful to develop fast applications.

• Extensive support libraries

Python is available large standard libraries that are inclusive of options like string operations, protocols, internet, web service tools, etc. Since, a large number of codes are already written in Python, this, in turn, puts a limit to the length of codes that needs to be written in Python.

• Improved programmer’s productivity

The productivity of the programmer also gets improved due to reduced length of codes and object-oriented codes. Its features such as process integration, unit testing framework and ability to manage enhanced control help in increasing the speed of the entire application.

• User-friendly data structures:

A built-in list and dictionary data structures, Python allows the developers to reduce the length of high-level data typing. This, in turn, helps in reducing the length of support code that is needed.

• Productivity and Speed:

With an object-oriented design, this language provides enhanced process control capabilities to its users. The language also has strong integrating and text processing abilities and its own unit testing framework, which, in turn, helps in improving its speed as well as productivity.

Conclusion:

A lot of the reasons mentioned above and several others make programmers prefer Python over any other programming language. Using Python by cyber security professionals over any other programming language is also common due to factors such as better respond time, user-friendly data structure and security.

Therefore, it is important to ensure that the focus is on making sure that the aim is met as well as ensure better performance.