You don't have to worry about building a script with mains, functions, etc. It's also convenient for prototyping or trying a part of a code, examining the results, and potentially adding it to your main project. Therefore, you can delimitate the different parts of your code with some additional text, which allows others to read and understand your code. It can perform data analysis in real time. Because of the mix of code and text elements, Jupyter Notebook is the ideal place to gather and analyze the contents. In this case, "notebook," or "notebook documents," denote documents that contain both code and rich text elements, such as figures, links, and equations. But first, we want to introduce you to Jupyter so you can see why we recommend it for your Python projects. There are, of course, other ways to work with Python. It can be compared to a web page with Python applications . Hit while in edit mode to switch to command mode.Jupyter is a web application where you can store Python code, results (visualizations, graphics, things to display, etc.), and formatted text.
To split cells, click inside the cell where you want the split and hit. You can highlight a bunch of code and hit to indent it 'r' changes cell type to "Raw", which is useful as a quick way to clear lengthy output: hit 'r' then 'y' to change it back to type "Code" 'M' merges the current cell with the one below it. 'a' and 'b' create a new cell above or below the current cell 'z' undoes the last cell deletion, but currently it only remembers one deletion back.Ĭommon mistake : starting to type while in command mode. For example, hitting 'm' changes cell type to "Markdown". In command mode, there are a bunch of shortcut keys. In edit mode, obviously, you edit the code. You can tell you're in edit mode if there is a blinking cursor in the highlighted cell.
You're either in edit mode or command mode.
Jupyter interactive editing is somewhat patterned after the unix editor vi (if you're a nerd and you happen to know what that is).
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