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Why is Python used for hacking?

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Python is a very widely used language because it's very strong the main reason that makes Python so strong it's a library you can find a library for every task you want to perform in Python. Python is a popular programming language in the field of hacking and cybersecurity due to several reasons: Ease...
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Python is a very widely used language because it's very strong the main reason that makes Python so strong it's a library you can find a library for every task you want to perform in Python. 

Python is a popular programming language in the field of hacking and cybersecurity due to several reasons:

  1. Ease of Use: Python has a simple and easy-to-understand syntax, making it accessible for beginners. 

  2. Large Standard Library: Python comes with a comprehensive standard library that provides a wide range of modules and functions for various purposes. 

  3. Platform Independence: Python is a cross-platform language, meaning that Python code can run on different operating systems such as Windows, macOS, and Linux.

  4. Networking Capabilities: Python offers robust networking capabilities through libraries like socket and scapy. These libraries allow hackers to interact with network protocols, create network scanners, perform packet sniffing, and develop network-based exploits.

  5. Scripting and Automation: Python is well-suited for scripting and automation tasks. Hackers can write scripts to automate repetitive tasks, such as password cracking, vulnerability scanning, and reconnaissance, saving time and effort during the hacking process.

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it is used to generate password cracking brute force scripts. sniffing and information gathering tools. cross examine functions and variables.
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As hacking needs small scripts to work around, python does it well as it's a scripting language with a large user base which makes it easy to get help online with all possible scenarios
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Working as Data Scientist & Certified in AI & ML with 3 years Work & Teaching Experience

Python is used for many applications some of them are: 1. Web Development using Django and Flask 2. Mobile Apps Development using KIVI Framework 3. Data Science 4. Automation 5. API 6. Standalone applications etc
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