Pseudo-Random Generators: Importance and Application
"Randomness is nature's wild card, dealing surprises in every hand." - ChatGPT Today's post is inspired by an Advanced Python course that I am currently doing on DataCamp, where Hugo Bowne-Anderson (a Data Scientist) mentioned the rand() function. There is a whole module in NumPy (short for Numeric Python) dedicated to generating random datasets! But, why? What is the importance of this functionality in Data Analytics? Well, we don't always have the luxury of collecting sample data to perform statistical analysis for the following reasons : It will take too long, It is too expensive, It is not easily accessible, It is a rare and unpredictable event, Or it is incomplete, inaccurate or biased! Now, what if we can skip this data collection process and get straight into the analysis? This is where the idea of pseudo-random number generators (PRNGs) come into play, it's "pseudo" because it is not truly a random number. Let me explain: when you use a ...