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2.  What is the difference between comparison operators and logical operators? Explain any two of each.
                 Ans.  Comparison operators are used to compare the values of the operand. They return True if the comparison is true,
                      otherwise False. They are commonly used in conditional statements and loops.
                      Logical operators are used to combine conditional statements. They return True or False depending on the conditions.
                      Logical operators include AND, OR, and NOT.
                   3.  What are the naming conventions for identifiers in Python?
                 Ans.  The following are the identifier naming conventions:
                         Must begin with a letter (a-z, A-Z) or an underscore (_).
                         Subsequent characters can be letters, digits (0-9), or underscores.
                         Case-sensitive (myVar is different from myvar).
                         Cannot be a Python keyword (reserved words).
                         No special characters such as !, @, #, $, %, etc., are allowed within identifiers.
                         Blank spaces within an identifier are disallowed.

                   4.  What is a CSV file?
                 Ans.   A CSV (Comma-Separated Values) file is a popular and widely used format for storing and exchanging tabular data.
                      In its simplest form, each line of a CSV file represents a single record, with individual data fields separated by commas.
                   5.  What is the syntax of importing a CSV file?

                 Ans.  pd.read_csv("filename.csv")
              B.  Long answer type questions.
                   1.  What are the features of Python?
                 Ans.  Some of the important features of Python are as follows:
                          Easy to read and write: Python's syntax is designed to be simple and easy to understand, making it accessible to
                         beginners and experienced programmers. Its code is often referred to as "executable pseudocode."
                         Interpreted language: Python is an interpreted language, meaning that code is executed line by line, which
                         allows for easier debugging and prototyping.
                         Dynamic typing: Python is dynamically typed, meaning you don't need to declare the type of a variable when
                         you create one. The type of variable is inferred at runtime.
                         Extensive standard library: Python comes with a large standard library that provides a wide range of modules
                         and packages for tasks such as file I/O, networking, web development, and more, reducing the need to write code
                         from scratch.

                         Open source: Python is open source, meaning that its source code is freely available and can be modified and
                         redistributed. This fosters collaboration and innovation within the Python community.
                         Object-oriented: Python supports object-oriented programming (OOP) programming paradigm, allowing you to
                         create classes and objects, encapsulate data, and implement inheritance and polymorphism.
                         Cross-platform: Python code can run on various platforms and operating systems without modification, including
                         Windows, macOS, Linux, and others.
                         Community support: Python has a vast and active community of developers who contribute to libraries, frameworks,
                         nd resources. This community support makes it easy to find solutions to problems and learn from others.
                         Easy integration: Python effortlessly integrates with other programming languages and technologies,
                         facilitating interoperability and compatibility with existing systems. It supports integration with C/C++, Java,
                         .NET, and other languages that allow developers to use their preferred tools and technologies within Python-
                         based projects.
                         Strong industry adoption: Python is widely adopted across various industries, including technology, finance,
                         healthcare, education, and more. Its robustness, scalability, and extensive library support make it an attractive
                         choice for businesses seeking efficient and cost-effective solutions to their software development needs.

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