Python Basics Review

Python Basics Review#

Let’s refresh some Python basics. In this notebook, you will find exercises covering the following concepts:

  • Data structures

  • Conditions and loops

  • Basic operations on data

  • Using packages

  • User-defined functions

Try to solve the following exercises. If you need help, You may use our AI assistant bia-bob, as introduced in the previous notebooks.

# Import bia-bob
# Initialize bia-bob with model, and custom system prompt if preferred

Exercise 1#

Concepts: variables, data types, indexing, basic math operations

Scenario#

You are provided with basic information about a patient’s vital signs during a check-up:

name: Lisa
age (years): 42
weight (kg): 72.0
height (cm): 178
heart rate measurements (bpm): 72,75,70,78,74,68,91,76,105

Tasks#

  • Store the data in variables with suitable data types, print the data types

  • Compute:

    • BMI = weight / height²

    • heart beats per hour

  • Extract the values for:

    • minimum heart rate

    • maximum heart rate

    • average heart rate

# Your turn...

Exercise 2#

Concepts: file I/O, dictionaries, loops, conditions

Scenario#

You receive basic measurements for several patients in a CSV file: patient_measurements.csv

Tasks#

  • Read the data from the file and store it in a dictionary

  • Loop over all patients, and for each patient:

    • Print the patient ID and systolic blood pressure

    • Classify blood pressure as “normal” (< 130), or “high” (≥ 130)

  • Count how many patients fall into each category

# Your turn...

Exercise 3#

Concepts: selecting / filtering data, creating new data structures

Scenario#

From the patient measurements dataset dictionary from excercise 2, you want to identify patients with specific symptoms.

Tasks#

  • Create a list of patient IDs with temperature ≥ 38.0 °C

  • Create a new dictionary containing only patients with high blood pressure (SBP ≥ 130)

  • Print the results in a readable way

Hints

  • Start with empty lists/dicts

  • Use loops and if conditions

  • (Optional / Advanced) Use Python list comprehension / generator syntax

# Your turn...

Exercise 4#

Concepts: user-defined functions, importing packages

Scenario#

You want to apply a custom analysis to the patient data dictionary to get notified on patients which need a further check-up.

Tasks#

  • Write a function check_patient which takes the parameters patient_id, systolic_bp, temperature

    • the funtion shall return a notification for a patient (with patient_id), if blood pressure ≥ 130 and temperature ≥ 38.0

    • the notification shall include the next appointment as a randomly selected day within the next month

  • Import and use the Python package datetime to generate the appointment day

  • Collect and print all notifications

# Your turn...
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