8. Generate Random Floats within a Range in Python Arrays
   Import the numpy library:The numpy library (Numerical Python) is commonly used for scientific computing in Python. It provides functions for working with arrays
9. Selecting Random Rows from Pandas DataFrames with Python
   What is a Pandas DataFrame?A DataFrame is a powerful data structure in Python's Pandas library used for tabular data manipulation and analysis
10. Non-Repetitive Random Numbers in NumPy: Beyond the Basics
    Here's a common approach to achieve this:Here's an example code snippet that demonstrates this approach:This code defines a function non_repetitive_random_numbers that takes the desired size of the random number array as input
11. Beyond the Basic Shuffle: Achieving Orderly Rearrangement of Corresponding Elements in NumPy Arrays
    numpy. random. permutation:This function from NumPy's random module generates a random permutation of integers. It creates a new array containing a random rearrangement of indices from 0 to the length of the array minus one
12. Python's Secret Weapon: Generating Random Numbers with the random Module
    import randomGenerate a random integer: There are two common functions you can use to generate a random integer within a specific range:
13. Python: Generating Random Strings with Uppercase Letters and Digits
    Absolutely, here's how you can generate random strings consisting of uppercase letters and digits in Python:Importing Modules:
14. Random Fun with Python Lists: How to Grab a Surprise Element
    Methods for Random Selection:Python offers several ways to achieve random selection from a list, depending on your specific needs:
15. When to Use sample() and rsample() for Efficient Sampling in PyTorch
    sample()Function: Generates a random sample from a probability distribution.Functionality: Employs various techniques depending on the distribution type