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1. Ethical Hacker :Best practices for preventing SQL injection attacks
2. Tools and techniques for detecting and mitigating SQL injection attacks
3. Network Scanning and Information Gathering
4. Overview of network scanning and information gathering
5. Techniques for protecting against network scanning and information gathering attacks
6. Tools and best practices for network scanning and information gathering.

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Systematically deduce the structure of the organic compound from the NMR data. Assign the peaks to the structure you arrived. Molecular formula C6H5NCI2; 1H NMR 7.2 (d, 2H, J=7.0 Hz), 6.6 (t, 1H, J = 7.0 Hz), 4.4 (broad singlet, 2H, D20 exchangeable); 13C NMR 140, 128, 119.5, 118, ppm. Hint IR shows two peaks at 3432 and 3313 cm.

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 You are called by your supervisor to go and check a potential data bridge problem. What are the steps 
you will follow in order to check the database and fix any problems with it? Have in mind that you 
SHOULD normalize it as well. (

Introduction to Python

Python is a popular and fast-growing programming language. It is known for its simplicity and readability, which makes it a great language for beginners to learn.

Unique Features of Python

Python has several unique features that contribute to its popularity:

Easy to learn: Python has a clean syntax that is easy to read and write, making it a great language for beginners.

Versatile: Python can be used for a variety of applications, including web development, data analysis, and scientific computing.

Open-source: Python is an open-source language, which means that it is free to use and distribute. It also has a large and active community of developers who contribute to its development and provide support.

Applications of Python

Python is widely used in a variety of fields, including:

Machine learning: Python's simplicity and versatility make it a popular choice for machine learning applications. There are many libraries and frameworks available for machine learning in Python, including scikit-learn and TensorFlow.

Artificial intelligence: Python is also commonly used in the field of artificial intelligence. It has libraries such as PyTorch and Keras that make it easy to build and train machine learning models.

Data science: Python is a popular language for data science due to its powerful data analysis and visualization libraries, such as Pandas, NumPy, and Matplotlib.

Overall, Python is a powerful and versatile language with a wide range of applications. Its simplicity and ease of use make it a great choice for beginners, while its active community and open-source nature make it a popular choice for more advanced users as well.

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• Python has a large and active community of developers who can provide support and guidance.
• Simple syntax and readability: Python's simple syntax and readability make it easy to learn, understand and maintain.
• Cost-effective: Python is open-source and free, reducing the cost of implementing machine learning and data analysis solutions compared to other commercial tools.
• Wide range of libraries: The wide range of libraries available in Python for machine learning and data analysis make it a powerful choice for these applications.

In conclusion, Python has become a go-to programming language for machine learning and data analysis, and its popularity continues to grow due to its simplicity, powerful libraries, and broad community support. Companies rely on Python to make data-driven decisions, personalize user experiences, and create intelligent systems

• Books: "Python Crash Course" by Eric Matthes and "Automate the Boring Stuff with Python" by Al Sweigart are two popular books for Python learners.
• Tutorials: Online tutorials such as Real Python and Python.org provide in-depth guides and resources for Python learners.
• Documentation: The official Python documentation is a valuable resource for reference and learning.
• Blogs: Blogs such as Towards Data Science and Medium offer insightful articles and tutorials on Python-related topics.

Learning Python can be a rewarding and challenging experience, but with the right resources and tips, you can develop your skills and become a successful Python developer. Remember to start with the basics, practice regularly, join a community, experiment with different libraries and frameworks, and keep learning. Happy coding!

• Books: "Python Crash Course" by Eric Matthes and "Automate the Boring Stuff with Python" by Al Sweigart are two popular books for Python learners.
• Tutorials: Online tutorials such as Real Python and Python.org provide in-depth guides and resources for Python learners.
• Documentation: The official Python documentation is a valuable resource for reference and learning.
• Blogs: Blogs such as Towards Data Science and Medium offer insightful articles and tutorials on Python-related topics.

Learning Python can be a rewarding and challenging experience, but with the right resources and tips, you can develop your skills and become a successful Python developer. Remember to start with the basics, practice regularly, join a community, experiment with different libraries and frameworks, and keep learning. Happy coding!

What do you mean by static variable and dynamic variable?

Explain the concept of polymorphism in object-oriented programming.