In this set of quick-fire recipes, we'll look at ways to become more productive in Jupyter and to write more efficient Python code. If you are not familiar with Jupyter Notebook, please read a tutorial and then come back here. You can find a well-written tutorial at https://realPython.com/jupyter-notebook-introduction/. In the following recipe, we'll assume you have some familiarity with Jupyter Notebook.
Let's look at some simple but very handy tricks to make working in notebooks more comfortable and efficient. These are applicable whether you are relying on a local or hosted Python environment.
In this recipe, we'll look at a lot of different things that can help you become more productive when you are working in your notebook and writing Python code for AI solutions. Some of the built-in or externally available magic commands or extensions can also come in handy (see https://iPython.readthedocs.io/en/stable/interactive/magics...
