/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. #mafdna2021 #designnanalytics

Primary LanguageJupyter Notebook

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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#thebestdna #mafdna2021 #designnanalytics