Jupyter Notebook Shortcuts that you must know!

Mudita Sharma — Mon, 09 May 2022 18:19:15 +0000

Hey guys! Hope you're doing well.

From today we'll be embarking on this journey of data analytics. We'll begin with Data Analysis using Python.

There are many tools available that we can use for coding Python but the most easy to understand and beginner friendly tool is Jupyter Notebook.

Let's discuss some shortcuts of Jupyter Notebook that helps you become more productive.

In Jupyter Notebook, we broadly have two types of cells as shown below:

In the code cell we write the code, execute it and get some output like this

In the markdown cell, we can add description about the code. Adding description always helps a third person to understand our code. This is how a markdown cell looks like.

Here we have some tricks to play with these markdown cells.

If you want to convert a code cell to a markdown cell.
Esc+M
If we want to convert any cell to code cell.
Esc+Y
If we want to delete a cell.
Esc+D+D
If we want to insert a new cell above a given cell.
Esc+A
If we want to insert a new cell below a given cell.
Esc+B
If we want to give headings then we use #
# for the largest heading
## for less larger heading
and so on.

These were the shortcuts that can save you some time and make you feel more professional.

Stay Tuned for more such content and make sure that you follow us and don't miss out on the Data Analytics series.

Getting started with Data Analysis

Mudita Sharma — Mon, 09 May 2022 11:19:57 +0000

Hello People, this is my first post. I'm going to start a Data/Business Analytics series where I'll be sharing with you all my learnings in a well organized and sequential format. Hope you like my content and it helps you grow in your career and helps me learn from you as well (I'm sure you're going to give feedback!)

I'd like to give you a roadmap that you can ponder upon.

We'll be covering the following topics in the same order as shown below:

Python for Data Analysis
SQL
Tableau
Power BI
Preparation Tips for Microsoft Exams:

DP-900 (Azure Data Fundamentals)
DP-203 (Azure Data Engineer)
PL-300 (Power BI Data Analyst)

Looking forward to a great learning experience and I hope you look forward to the same. Stay tuned till then!

Happy Learning :)

DEV Community: Mudita Sharma

Jupyter Notebook Shortcuts that you must know!

Getting started with Data Analysis