Bianca,

Many thanks for the response. Although I use SQL a LOT, I can see something such as Python being a possibility to negate super complex queries. And, actually, make the processing quicker and more efficient as it would take a large load off of the server instance…especially, when hundreds of users are hitting the database and we are trying to create reporting tools to graph the data. Does that make sense?

That being said, I am beginning to pick up on Python, bit by bit, when I have the time now (now that I am building out real-time data dashboards). I appreciate what you are doing, very much, and look forward to using some of your tutorials in real-world scenarios.

Hi John, thank you for your comment! While SQL is an amazing querying language for selecting, sorting and classifying data, if you would like to pursue Data Science, sorting algorithms like Quick sort are necessary especially when working with Big Data which makes it faster than SQL in practice…of course this depending on the type of Big Data system you are using 🙂

Great post on sorting. However, wouldn’t it be much easier to do the sorting at the data layer using SQL? Just my thoughts as I rely a LOT on SQL for complex queries, including sorting and arranging data.

Hey Vince, thank you for your comment! Well it kind of depends on the problem at hand, for example Quick sort is very useful for Medium arrays and Merge sort is performing best on long arrays.