1. Introduction to the Laboratory Environment 

1. Installation and Setup: 

o Install Anaconda distribution which includes Jupyter Notebook.

 o Install a Python IDE (e.g., PyCharm, VS Code). 

2. Jupyter Notebook Basics: 

o Create a new Jupyter Notebook. 

o Write a markdown cell explaining the purpose of the notebook. 

o Write and execute a simple Python code cell (e.g., print "Hello, Data Science!"). 

3. Exploring Python IDEs:

 o Create a new Python project in the chosen IDE. 

 o Write a simple Python script that prints the current date and time.

 o Execute the script from the IDE. 

4. Comparing Tools: 

o Write a brief comparison (200 words) between Jupyter Notebook and the chosen Python IDE based on your experience.