Path: blob/main/C1 - Supervised Machine Learning - Regression and Classification/week1/Optional Labs/C1_W1_Lab01_Python_Jupyter_Soln.ipynb
2201 views
Optional Lab: Brief Introduction to Python and Jupyter Notebooks
Welcome to the first optional lab! Optional labs are available to:
provide information - like this notebook
reinforce lecture material with hands-on examples
provide working examples of routines used in the graded labs
Goals
In this lab, you will:
Get a brief introduction to Jupyter notebooks
Take a tour of Jupyter notebooks
Learn the difference between markdown cells and code cells
Practice some basic python
The easiest way to become familiar with Jupyter notebooks is to take the tour available above in the Help menu:
Jupyter notebooks have two types of cells that are used in this course. Cells such as this which contain documentation called Markdown Cells
. The name is derived from the simple formatting language used in the cells. You will not be required to produce markdown cells. Its useful to understand the cell pulldown
shown in graphic below. Occasionally, a cell will end up in the wrong mode and you may need to restore it to the right state:
The other type of cell is the code cell
where you will write your code:
Python
You can write your code in the code cells. To run the code, select the cell and either
hold the shift-key down and hit 'enter' or 'return'
click the 'run' arrow above
Print statement
Print statements will generally use the python f-string style. Try creating your own print in the following cell. Try both methods of running the cell.
Congratulations!
You now know how to find your way around a Jupyter Notebook.