Understanding Jupyter basics
Jupyter notebooks are built on the idea of iterative development. In any development effort regardless of what you are creating, breaking a large project into smaller pieces always yields rewards. Nobody at the Ford Motor Company just builds a car. They build millions of pieces that are later assembled into a car. Each piece can be designed, produced, tested, and inspected as individual pieces.
Similarly, by separating a given program into individual sections that can be written and run independently from each other, programmers in general and data scientists specifically can work on the logic of their programs in an incremental way.
