First, we’ll explain something about the two types of cells: code cells and text cells. But once you have to program (or write) stuff yourself, you have to switch to edit mode. When you’re reading and scrolling through the tutorials, you’ll be in the command mode mostly. Enter edit mode by pressing Enter or using the mouse to double-click on a cell’s editor area. Enter command mode by pressing Esc or using the mouse to click outside a cell’s editor area Įdit mode is indicated by a green cell border and a prompt showing in the editor area: When a cell is in edit mode, you can type into the cell, like a normal text editor. Most importantly, in command mode, the keyboard is mapped to a set of shortcuts that let you perform notebook and cell actions efficiently (some shortcuts in command mode will be discussed later!). Jupyter notebooks have two modes: edit mode and command mode.Ĭommand mode is indicated by a grey cell border with a blue left margin (as is the case now!): When you are in command mode, you are able to edit the notebook as a whole, but not type into individual cells. The (printed) output from code blocks are displayed right below the code blocks themselves. The cool thing about these notebooks is that they allow you to mix code “cells” (see below) and text “cells” (such as this one). Just like any editor, code in Jupyter notebooks is interpreted and executed by Python on your computer (or on a remote server) and their results are returned to the notebook for display. So, what are Jupyter notebooks, actually? Basically, using Jupyter notebooks is like using the web-browser as a kind of editor from which you can run Python code, similar to the MATLAB interactive editor or RStudio. Contents #Įstimated time to complete: 1-3 hours Jupyter notebooks # ![]() The concepts discussed in these exercises will not be featured on the exam and/or graded assignments. However, to challenge those more familiar with programming, we also include (optional!) more difficult exercises. Because students often differ in how much experience they have with programming, the exercises are often relatively easy. Importantly, we believe that programming is best learned by doing it, so this notebook will feature a lot of (ungraded) exercises. We will explain how to work with Jupyter notebooks, contrast “interactive programming” with “scripting”, and introduce you to the concept of object-oriented programming. In this notebook, we will introduce you to the basics of programming in Python.
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