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Jupyter Notebook Cheat sheet

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Hey guys,

In this post I am going to discuss how quickly you can program in Jupyter notebook. If you are new to Jupyter notebook, this cheat sheet will guide to remember some important shortcut of notebook. We will see the important shortcut keys that will help you to write code in faster and supper simple manner.

So, let’s begin…

Why do we use Jupyter?

We prefer to write code in python because we want to code in efficiently and fast. There is a simple concept, if you move fast there are chances to fall fast and learn fast. When you work on a project, data processing takes time, and machine learning training takes even more time. And to be quick, you can choose Jupyter notebook that offers the ability to run / test code cell wise. It means you can run just a small code instead of the complete script.

“This is an iterative process. The faster you can go round this loop, the faster you will make progress.” — Andrew Ng.

It is super easy to get started with Jupyter notebook. However, when you first time open Jupyter notebook, you might experience some difficulties to find your way like opening a new notebook, saving your current notebook, adding or moving cells in the notebook and so on. Without any doubt, there are lots of things there to discover when you first get started! So, this Jupyter Notebook cheat sheet is useful for those who are stepping in the notebook first time and that wants to have some help to find their way around.

You remember that the Jupyter Notebook has a handy Help menu that includes a full-blown User Interface Tour. So, no worries, we have also included this in the cheat sheet.

Click here to see and download cheat sheet.

On wrapping up notes, feel free to share your comments. Your likes and comments will help me to present contents in better way. See you next week.

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Virendra Kumar Shrivastava

Virendra Kumar Shrivastava

Professor (Big Data Analytics)||Adani Institute of Digital Technology Management (AIDTM) || Adani Group || Gandhinagar, Gujarat, India

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