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[2]:   i = 1
                        while i < 6:
                            print(i)
                            i += 1
                        1
                        2
                        3
                        4
                        5


                 [3]:   #input a number and check for even or odd.
                        #The whole process should continue till the user wants.
                        ans = 'y'
                        while ans == 'y':
                            Num = int(input("Enter a number: "))
                            if Num%2 == 0:
                                print (Num," is an even number")
                            else:
                                print (Num," is an odd number")
                            ans = input("Enter y to continue: ")
                        print ("Program ends here")
                        Enter a number:  20
                        20  is an even number
                        Enter y to continue:  y
                        Enter a number:  21
                        21  is an odd number
                        Enter y to continue:  n
                        Program ends here


                               Reboot


                        • What are conditional statements?

                        • What are the different kinds of loop?




                         Modules and Packages

                 A module is a Python file (.py) that contains Python code, including functions, classes, and variables, which can
                 be reused in other programs. Modules help in structuring code efficiently by breaking it into manageable parts.
                 A package is a collection of related Python modules organized within a directory. It typically includes an __init__.
                 py file, which indicates that the directory should be treated as a package. Python provides numerous built-in and
                 third-party packages to simplify coding tasks.

                 Below are some commonly used Python packages:
                    • NumPy: NumPy (Numerical Python) is a library for numerical computing. It provides support for multidimensional
                   arrays and matrices, along with a collection of mathematical functions for efficient operations. It is widely used
                   in data analysis, scientific computing, and Machine Learning due to its high performance and ease of use.
                    • Pandas: Pandas is a Python library for data manipulation and analysis. It offers powerful data structures like
                   Series and DataFrames for handling structured data. It simplifies tasks like data cleaning, transformation, and
                   aggregation, making it essential for data science workflows.
                                                                                    Advance Python (Practical)  285
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