Python had been lying dormant in the programming industry ever since Guido van Rossum invented it in 1989. Until 2003, Python was very rarely used. Python was specially designed for programmers to understand the codes swiftly. Compared to other programming languages, the Syntax for Python is far easier. Since most of the commands are in pure English, anyone can learn a Python Programming. Tech masters like Google, Amazon, Instagram are all relying on python for their upcoming projects.
Another big advantage of Python is that it has a worldwide community of people, who are constantly contributing to the language. Several libraries are being added to it every day. As per the report of 2019, Python is the world’s most famous language used by almost 26% of the programmers in the software industry.
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How is Python used in Cyber Security?
Python has been used to develop a large number of Vulnerability scanners, port scanners, exploits, and other security tools. According to a report by Imperva, about 20% of the GitHub repositories are filled with Python-based hacking and scanning tools. The depth of the libraries and the familiarity of the language attracts a wide range of hackers to build their own tools.
Many security specialists are learning Python due to its high impact on cybersecurity. Excluding the exploitation parts, Python helps many organizations to build their own Vulnerability scanners with the large libraries available.
Another main advantage of Python is it has an inbuilt memory manager which reduces the allocation of memory and the size of the program automatically. Today, many organizations build their programs with Python.
As previously mentioned, Python makes it easy for programmers to study the code easily which also makes it easier to debug. Even, a novice programmer can debug a Python program because of its readable design.
Python has great functionality for Cyber Security. The contributions by the Python community have also brought many libraries that can help to automate any process with Python scripts. Python has modules for XML and HTTP parsing that can be useful when using it for web activities.
Cybersecurity professionals have built many tools with python which makes it easier when it comes to monitoring and securing. IBM used Python to build its SIEM tool called Qradar which is one of the most effective Security Incident and Event Management tools.
Many Cyber forensics tools including Xplicio, Sans SIFT, and Volatility Framework were written in Python. Python-based tools are more efficient and take less time to operate compared to others.
Experts have developed penetration testing frames like w3af open source web application scanner with Python programming. Many servers have been specifically designed in Python which makes it easy for hosting web applications.
Programmers, Hackers, Security Professionals, script kiddies and organizations prefer Python programming as their first priority. The vast increase in the usage of the language also makes it essential for us to learn it. Python is also used in developing mobile applications. Less complexity, high functionality, less memory allocation, more automation, less coding syntax. Along with these, there is a lot to Python that is still to be discovered.