**Python 3** is the better version for beginners. It is the latest version and has several improvements over Python 2, including:

1. **Simpler Syntax**: Python 3 has a more consistent syntax, which makes it easier for beginners to learn.
2. **Better Unicode Support**: It handles text in multiple languages better with improved Unicode support.
3. **Enhanced Libraries**: Most new libraries and frameworks are built for Python 3, making it more future-proof.

Python 2 is outdated and no longer supported, so learning Python 3 will be more beneficial for current and future development.

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In Python, `//` is used for floor division. It divides two numbers and rounds the result down to the nearest whole number.

For example:
```python
7 // 3 # This will give 2
```

Here, `7` divided by `3` is `2.3333`, but `//` rounds it down to `2`.

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Flexibility and ScalabilityIn Python vs PHP, both are preferred for developing a web application due to the high availability of versatile libraries and frameworks based on them. But, Python is considered more scalable, as it offers to implement Artificial Intelligence and Machine Learning programs in the Software.

Python is used for hacking because it's:

1. **Easy to Learn**: Its simple syntax and readability make it accessible for quick development.
2. **Powerful Libraries**: Python has libraries like `scapy` for network scanning and `requests` for web scraping, which are useful for security testing.
3. **Versatile**: It's used for scripting, automation, and penetration testing.
4. **Cross-Platform**: Python works on various operating systems, making it flexible for different environments.

Its strengths make it a popular choice among ethical hackers and security professionals for testing and improving system security.

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Some of the best books on Python data structures and algorithms include:

1. **"Problem Solving with Algorithms and Data Structures Using Python" by Brad Miller and David Ranum** - Provides a clear introduction to algorithms and data structures with practical Python examples.

2. **"Data Structures and Algorithms with Python" by Kent D. Lee and Steve Hubbard** - Covers fundamental data structures and algorithms with Python, offering clear explanations and code examples.

3. **"Python Data Structures and Algorithms" by Benjamin Baka** - Focuses on Python-specific data structures and algorithms with real-world examples.

4. **"Algorithmic Thinking" by Adnan Aziz** - Although not Python-specific, it provides algorithmic insights and problems that can be solved using Python.

These books provide both theoretical knowledge and practical implementations in Python.

Here is my number Call 073-1485-0321.