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Python > Learn Python > Why is Python used for hacking?
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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: Ease of Use: Python has a simple and easy-to-understand syntax, making it accessible for beginners. Large Standard Library: Python comes with a comprehensive standard library that provides a wide range of modules and functions for various purposes. Platform Independence: Python is a cross-platform language, meaning that Python code can run on different operating systems such as Windows, macOS, and Linux. 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. 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. read less
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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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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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