EDA Python - 05-Jupyter-Introduction_cut_2

This video tutorial guides viewers through setting up and using Jupyter Notebook for data analysis. It covers accessing course materials on GitHub, launching Jupyter Notebook, and navigating its features. The tutorial explains markdown and code cells, command and edit modes, and provides an overview of useful shortcuts and utilities. It introduces variables and Python keywords, and demonstrates how to access help and documentation within Jupyter Notebook.

What is the first step to access the course materials from GitHub?

• Email the course instructor

• Download the GitHub app

• Sign up for a GitHub account

• Create a new GitHub repository

After launching a Jupyter Notebook, what is the next step to access the course content?

• Navigate to the folder with the course content

• Share the notebook with a colleague

• Install additional Python packages

• Create a new notebook

What is the primary use of Jupyter Notebooks in this course?

• Data analysis and data science

• Mobile app development

• Game development

• Web development

How can you execute a cell in Jupyter Notebook without moving to the next cell?

• Press Alt + Enter

• Press Enter

• Press Ctrl + Enter

• Press Shift + Enter

What indicates that a cell is in edit mode in Jupyter Notebook?

• The cell border turns green

• The cell border turns blue

• The cell border turns red

• The cell border turns yellow

Which shortcut opens the list of all shortcuts in Jupyter Notebook?

• Ctrl + Shift + L

• Ctrl + Shift + N

• Ctrl + Shift + P

• Ctrl + Shift + S

What is a Python keyword?

• A variable name

• A reserved word in Python

• A file name

• A function name