When working with Python lists you’ll often encounter times when you need to remove duplicate values present in a single list, remove duplicates found in multiple lists, or identify the...
When working with customer data or upon time series data science projects, you’ll often find the need to calculate the difference between two dates in your MySQL queries. The MySQL...
When working with customer data in ecommerce it’s very common for data scientists to need to add and subtract from date values directly within MySQL queries. For example, you might...
The SQL CASE statement is used for flow control, much like an if, then, else statement. If the statement finds a match on the chosen condition it will return the...
Most SQL databases store dates in the datetime format. This is really useful because MySQL, and other SQL dialects, make it very easy to convert datetime objects to a wide...
MySQL includes a large number of string functions and operators that you can use in SQL statements to both query data and reformat column values. In this simple example, I’ll...
When you create an SQL SELECT statement, the data probably won’t be returned or sorted in the order you want, so the ORDER BY clause is used to control the...
The SQL GROUP BY clause groups row-based data into aggregated data, reducing the number of rows in the dataset, and is commonly used to perform aggregate calculations.
In SQL, when you want to SELECT data that lies between two values, there are a number of different SQL operators you can use to return the correct data. However,...
