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Theophile88Theophile88
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feat: add course + small modif in previous courses
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+523
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6 files changed

+523
-1
lines changed

‎Course1/exercise.py‎

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print("Welcome to the Python Quiz!")
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name = input("What's your name? ")
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print("Hi", name + "!", "Let's begin.\n")
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score = 0
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questions = [
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"What is 2 + 2?",
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"What is the capital of France?",
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"What returns \"python\".upper() do in Python?"
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]
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answers = [
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"4",
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"paris",
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"PYTHON"
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]
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for i, q in enumerate(questions):
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answer = input(q + " ").lower()
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if answers[i].lower() == answer.lower():
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print("✅ Correct!\n")
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score += 1
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else:
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print("❌ Wrong!\n")
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print("You got", score, "out of", len(questions))
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if score == 3:
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print("Perfect score! Great job,", name.upper() + "!")
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elif score > 0:
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print("Not bad! Try again to improve.")
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else:
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print("Keep practicing!")

‎Course2/slides.qmd‎

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@@ -567,7 +567,6 @@ Define a class with attributes: name, age, grades, and methods to:
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---
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### Solution
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```{pyodide}
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class Student:
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def __init__(self, name, age, grades=None):

‎Course3/colonies.json‎

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[
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{
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"name": "Colony_0",
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"conditions": {
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"temperature": 42,
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"ph": 8.0,
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"sugar": 1.13
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},
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"growth": {
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"0": 0.0,
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"1": 0.157,
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"2": 0.249,
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"3": 0.314,
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"4": 0.365,
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"5": 0.406,
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"6": 0.441,
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"7": 0.471,
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"8": 0.498,
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"9": 0.522
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}
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},
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{
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"name": "Colony_1",
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"conditions": {
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"temperature": 30,
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"ph": 6.0,
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"sugar": 1.55
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},
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"growth": {
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"0": 0.0,
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"1": 0.065,
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"2": 0.103,
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"3": 0.13,
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"4": 0.151,
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"5": 0.168,
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"6": 0.182,
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"7": 0.195,
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"8": 0.206,
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"9": 0.216
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}
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},
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{
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"name": "Colony_2",
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"conditions": {
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"temperature": 42,
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"ph": 7.0,
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"sugar": 2.0
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},
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"growth": {
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"0": 0.0,
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"1": 0.397,
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"2": 0.63,
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"3": 0.794,
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"4": 0.922,
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"5": 1.027,
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"6": 1.115,
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"7": 1.192,
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"8": 1.259,
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"9": 1.319
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}
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},
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{
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"name": "Colony_3",
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"conditions": {
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"temperature": 30,
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"ph": 8.0,
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"sugar": 1.51
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},
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"growth": {
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"0": 0.0,
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"1": 0.063,
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"2": 0.1,
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"3": 0.126,
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"4": 0.147,
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"5": 0.163,
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"6": 0.177,
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"7": 0.19,
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"8": 0.2,
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"9": 0.21
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}
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},
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{
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"name": "Colony_4",
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"conditions": {
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"temperature": 30,
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"ph": 6.0,
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"sugar": 1.79
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},
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"growth": {
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"0": 0.0,
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"1": 0.075,
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"2": 0.119,
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"3": 0.15,
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"4": 0.174,
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"5": 0.194,
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"6": 0.21,
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"7": 0.225,
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"8": 0.238,
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"9": 0.249
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}
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},
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{
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"name": "Colony_5",
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"conditions": {
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"temperature": 37,
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"ph": 8.0,
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"sugar": 1.71
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},
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"growth": {
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"0": 0.0,
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"1": 0.83,
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"2": 1.315,
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"3": 1.659,
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"4": 1.926,
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"5": 2.145,
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"6": 2.329,
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"7": 2.489,
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"8": 2.63,
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"9": 2.756
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}
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},
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{
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"name": "Colony_6",
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"conditions": {
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"temperature": 42,
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"ph": 6.0,
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"sugar": 1.7
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},
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"growth": {
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"0": 0.0,
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"1": 0.236,
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"2": 0.375,
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"3": 0.473,
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"4": 0.549,
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"5": 0.611,
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"6": 0.663,
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"7": 0.709,
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"8": 0.749,
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"9": 0.785
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}
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},
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{
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"name": "Colony_7",
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"conditions": {
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"temperature": 37,
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"ph": 7.0,
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"sugar": 0.98
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},
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"growth": {
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"0": 0.0,
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"1": 0.679,
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"2": 1.077,
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"3": 1.359,
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"4": 1.577,
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"5": 1.756,
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"6": 1.907,
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"7": 2.038,
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"8": 2.153,
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"9": 2.257
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}
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},
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{
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"name": "Colony_8",
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"conditions": {
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"temperature": 42,
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"ph": 6.0,
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"sugar": 1.17
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},
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"growth": {
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"0": 0.0,
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"1": 0.163,
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"2": 0.258,
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"3": 0.325,
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"4": 0.378,
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"5": 0.42,
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"6": 0.457,
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"7": 0.488,
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"8": 0.516,
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"9": 0.54
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}
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},
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{
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"name": "Colony_9",
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"conditions": {
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"temperature": 37,
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"ph": 7.0,
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"sugar": 1.2
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},
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"growth": {
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"0": 0.0,
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"1": 0.832,
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"2": 1.318,
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"3": 1.664,
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"4": 1.931,
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"5": 2.15,
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"6": 2.335,
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"7": 2.495,
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"8": 2.637,
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"9": 2.763
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}
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}
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]

‎Course3/generate_data.py‎

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import json
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import random
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import math
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from typing import List, Dict
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# Step 1: Generate synthetic bacterial colony data
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def generate_colony_data(n=10, times=range(0, 10)):
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colonies = []
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for i in range(n):
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name = f"Colony_{i}"
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temperature = random.choice([30, 37, 42]) # degrees Celsius
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ph = random.choice([6.0, 7.0, 8.0])
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sugar = round(random.uniform(0.5, 2.0), 2) # glucose concentration (g/L)
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# Use an arbitrary growth formula to generate data
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growth_data = {}
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for t in times:
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base = sugar * math.exp(-((temperature - 37) ** 2) / 20) # peak at 37°C
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ph_factor = 1 - abs(ph - 7) * 0.3 # best growth at pH 7
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growth = base * ph_factor * math.log(t + 1) # log growth over time
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growth_data[str(t)] = round(growth, 3)
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colony = {
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"name": name,
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"conditions": {
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"temperature": temperature,
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"ph": ph,
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"sugar": sugar
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},
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"growth": growth_data
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}
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colonies.append(colony)
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return colonies
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# Generate and save the dataset
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colony_dataset = generate_colony_data(n=10, times=range(0, 10))
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with open("colonies.json", "w") as f:
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json.dump(colony_dataset, f, indent=2)

‎Course3/index.qmd‎

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# Week title
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[👨🏻‍🏫 Slides]({{< var base_url>}}slides/Course3/slides.html){.btn .btn-outline-primary .btn role="button"}
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[Slides PDF]({{< var base_url>}}slides/Course3/slides.pdf){.btn .btn-outline-secondary .btn role="button"}

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