Mode of Work

• We are going to use Google Colab
• We are using Large Language Models (LLM) to generate Code
• Eg. Google Gemini, as it is built into Colab
• Bt you can any LLM you like
• We will use prompts to guide the LLMs
• The following Slides will present topic-based prompts
• Links to relevant information can be found on the resources page

Program Structure

• write a simple python program
• write a simple python program with an if statement
• explain that program
• explain colons and indentation
• write code for nested if
• write code for chained if
• write a simple python program with a loop
• what does range(5) mean
• write code for nested loops

Strings

• write a simple python program with a variable of type string
• generate examples of using string functions
• explain the usage of f-string
• explain formating within f-strings

Lists

• write a simple python program with a variable of type list
• generate examples of list slicing
• generate examples of using list functions

Dicts

• write a simple python program with a variable of type dict
• generate examples of using dict functions
• explain default within dict

Functions

• write a simple python program with a function definition
• write a simple python program with a function definition that gets a number as input and returns a number
• apply this function onto a list of numbers
• use map
• what is the difference between a list and an iterator
• explain higher order functions in python
• generate example code for reduce

Classroom Exercise 1

Create a function that that given a text counts the number of occurences per word.

Let the LLM generate the code and explain it.

List Comprehensions

• write a simple python program with a list comprehension
• explain list comprehensions
• add a filter to the previous program
• nest list comprehensions

Files

• write a simple python program that reads from a file
• read line by line

Classroom Exercise 2

Create a function that that given a list of two-dimensional tuples that represent cartesion coordinates, plots them on a two dimensional plane, connects them with lines, and calculates the length of the corresponding path.

• define a variable named coords that is a list of two-dimensional tuples that represent cartesion coordinates
• plot coords on a two dimensional plane
• plot a path connecting the points in coords
• connect points according to position in list
• write a function that calculates the length of a path

Classes

• write a simple python program with a class
• explain that class
• explain what methods are good for
• what is the role of __init__
• Explain instance generation

Classroom Exercise 3

Create a class that implements the Nearest Neighbor algorithm for finding the nearest point in a set of points.

• create a class named NearestNeighbor that has an empty constuctor
• it should have a method named fit with one parameter named instances
• this parameter is a list of tuples that represent cartesion coordinates
• it should have a soecond method called predict
• this method should deliver the cordinates of the nearest point