[psy_kid]

Is learning Python good for cybersecurity?

[Ash]

Python is an extremely useful programming language for cybersecurity professionals because it can perform a multitude of cybersecurity functions, including malware analysis, scanning, and penetration testing tasks. Python is often recommended as the first language people new to cybersecurity should learn because of its wide use and minimal learning curve.

The usefulness of Python in CyberSecurity:

· Network Port Scanning: Instead of Nmap implementation of network port scanning, but it can be implemented without any third-party tool, using Python socket programming. In Linux, many tools are available for digital forensics related to networks, but many of these implementations can be done using Python programming with only a few lines of instruction.

· Packet Sniffing: Generally you use tools like Wireshark or can write a simple Python script to get similar results.

· Scripting Solutions: Python can help develop solutions in the least amount of time with straightforward code. It also makes it easy for cybersecurity professionals to identify errors and quickly solve problems.

· Highly scalable: Scalability is high in the python language. Its simplicity and flexibility can secure all applications.

Anyone who wishes to start their cybersecurity profession will be needing a good programming language and having Python in your arsenal is a big help.

[ANANTHU]

Python helps me a lot when debugging the code due to its simple design. There have been times where troubleshooting an error in other programming language becomes a headache. But since using python I have been spending way less time on debugging. This helps when you create python tools for your needs.

[Sinister]

Everything that we need is available in python especially when we talk about its massive library of modules that cybersecurity professional to access penetration testing tools in their day to day work.

[Vidhu]

Python is a good for cybersecurity, one of the features of python is that it can do social engineering. The data from social media platforms such as WhatsApp, Facebook, Twitter, and LinkedIn can be harvested as it has many models and plugins that interface with said social media platforms. It can even download the real-time data from the social media platform using python scripts.

[Akhi]

Python is the go to language for big data. This is a whole new market place where python is beginning to shine. The reason for the popularity of python in big data is mainly due to its simple coding, open source, multitude of library support, python is highly compatible with Hadoop. These key features make Python stand out amongst other languages in big data.

[Shahid]

Python has many repository and one of the repository that is highly useful is Python Package Index (PyPI) repository for Python developers to store created Python programming language software developers and programmers alike use to publicize and share their software. The Python Package Index (PyPI) contains numerous third-party modules that make Python capable of interacting with most of the other languages and platforms.