Introduction-to-Data-Science-Tools-Jupyter-Notebook

A short brief to getting familiar and customization of basic Jupyter Notebook interface, using Python3 Programming Language for Data Science and Analytics. In this workbook, you can learn:

• The term string, interger
• How to assign a value into a variable
• How to print and recall all variable(s)
• How to insert images into workbook cells
• How to run an Excel .csv file format and read the top 5 rows
• How to insert links to redirect words into assigned links
• ...and more.

Before running this file, you must have an IDE: Jupyter Notebook installed in your computer or upload to Try JupyterLab.

Click on the blue colored text above for direct links.

How to Execute the Notebook:

1. Download and extract all files.
2. Upload/Load all files into your Jupyter workstation,
3. Run all, 2021_12_06_class2.ipynb

You can also edit any codes for try and error experiment. Have fun!

More tips & tricks on Markdown: here

Credit: DrObay

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