[Sync Track] python

solutions/python/bob/1/bob.py

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+def response(hey_bob):
+    # Fix the Indentation for all lines below!
+    trimmed_input = hey_bob.strip()
+
+    # Yelling a Question (Most Specific)
+    if trimmed_input.endswith('?') and trimmed_input.isupper():
+        return "Calm down, I know what I'm doing!"
+
+    # Yelling (Next Specific)
+    # Be careful not to count empty strings or questions as yelling!
+    elif trimmed_input.isupper():
+        return "Whoa, chill out!"
+
+    # Question (Next Specific)
+    elif trimmed_input.endswith('?'):
+        return "Sure."
+
+    # Silence
+    elif trimmed_input == '':
+        return "Fine. Be that way!"
+
+    # Anything Else
+    else:
+        return "Whatever."

solutions/python/darts/1/darts.py

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+def score(x, y):
+    pass
+    distance_squared = x**2 + y**2
+
+    # Define the squared radii for comparison
+    RADIUS_1_SQUARED = 1**2   # 1 (Inner Circle)
+    RADIUS_5_SQUARED = 5**2   # 25 (Middle Circle)
+    RADIUS_10_SQUARED = 10**2 # 100 (Outer Circle / Max Target)
+
+    # 2. Use conditional logic, checking the smallest (highest score) circle first.
+
+    if distance_squared <= RADIUS_1_SQUARED:
+        # Distance <= 1: Inner Circle
+        return 10
+
+    elif distance_squared <= RADIUS_5_SQUARED:
+        # 1 < Distance <= 5: Middle Circle
+        return 5
+
+    elif distance_squared <= RADIUS_10_SQUARED:
+        # 5 < Distance <= 10: Outer Circle
+        return 1
+
+    else:
+        # Distance > 10: Outside the target
+        return 0

solutions/python/little-sisters-vocab/1/strings.py

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+"""Functions for creating, transforming, and adding prefixes to strings."""
+
+
+def add_prefix_un(word):
+    """Take the given word and add the 'un' prefix.
+
+    :param word: str - containing the root word.
+    :return: str - of root word prepended with 'un'.
+    """
+    return "un" + word
+
+
+def make_word_groups(vocab_words):
+    """Transform a list containing a prefix and words into a string with the prefix followed by the words with prefix prepended.
+
+    :param vocab_words: list - of vocabulary words with prefix in first index.
+    :return: str - of prefix followed by vocabulary words with
+             prefix applied.
+
+    This function takes a `vocab_words` list and returns a string
+    with the prefix and the words with prefix applied, separated
+    by ' :: '.
+
+    For example: list('en', 'close', 'joy', 'lighten'),
+    produces the following string: 'en :: enclose :: enjoy :: enlighten'.
+    """
+    prefix = vocab_words[0]
+    words = vocab_words[1:]
+
+    # Use a list comprehension to apply the prefix to every word
+    prefixed_words = [prefix + word for word in words]
+
+    # Combine the original prefix and the new prefixed words, then join with ' :: '
+    return ' :: '.join([prefix] + prefixed_words)
+
+
+def remove_suffix_ness(word):
+    """Remove the suffix from the word while keeping spelling in mind.
+
+    :param word: str - of word to remove suffix from.
+    :return: str - of word with suffix removed & spelling adjusted.
+
+    For example: "heaviness" becomes "heavy", but "sadness" becomes "sad".
+    """
+    if word.endswith("ness"):
+        # remove 'ness'
+        root = word[:-4]
+
+        # spelling rule: if word ends with 'i', change to 'y'
+        if root.endswith("i"):
+            root = root[:-1] + "y"
+
+        return root
+
+    return word
+
+def adjective_to_verb(sentence, index):
+    """Change the adjective within the sentence to a verb.
+
+    :param sentence: str - that uses the word in sentence.
+    :param index: int - index of the word to remove and transform.
+    :return: str - word that changes the extracted adjective to a verb.
+
+    For example, ("It got dark as the sun set.", 2) becomes "darken".
+    """
+    selected_word = sentence.split()[index]
+
+    # 2. Clean the word (remove any trailing punctuation)
+    cleaned_word = selected_word.rstrip('.,!?"')
+
+    # 3. Append the suffix 'en'
+    suffix = "en"
+
+    # 4. Return the new verb
+    return cleaned_word + suffix

solutions/python/little-sisters-vocab/2/strings.py

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+"""Functions for creating, transforming, and adding prefixes to strings."""
+
+
+def add_prefix_un(word):
+    """Take the given word and add the 'un' prefix.
+
+    :param word: str - containing the root word.
+    :return: str - of root word prepended with 'un'.
+    """
+    return "un" + word
+
+
+def make_word_groups(vocab_words):
+    """Transform a list containing a prefix and words into a string with the prefix followed by the words with prefix prepended.
+
+    :param vocab_words: list - of vocabulary words with prefix in first index.
+    :return: str - of prefix followed by vocabulary words with
+             prefix applied.
+
+    This function takes a `vocab_words` list and returns a string
+    with the prefix and the words with prefix applied, separated
+    by ' :: '.
+
+    For example: list('en', 'close', 'joy', 'lighten'),
+    produces the following string: 'en :: enclose :: enjoy :: enlighten'.
+    """
+    prefix = vocab_words[0]
+    words = vocab_words[1:]
+
+    # Use a list comprehension to apply the prefix to every word
+    prefixed_words = [prefix + word for word in words]
+
+    # Combine the original prefix and the new prefixed words, then join with ' :: '
+    return " :: ".join([prefix] + prefixed_words)
+
+
+def remove_suffix_ness(word):
+    """Remove the suffix from the word while keeping spelling in mind.
+
+    :param word: str - of word to remove suffix from.
+    :return: str - of word with suffix removed & spelling adjusted.
+
+    For example: "heaviness" becomes "heavy", but "sadness" becomes "sad".
+    """
+    if word.endswith("ness"):
+        # remove 'ness'
+        root = word[:-4]
+
+        # spelling rule: if word ends with 'i', change to 'y'
+        if root.endswith("i"):
+            root = root[:-1] + "y"
+
+        return root
+
+    return word
+
+def adjective_to_verb(sentence, index):
+    """Change the adjective within the sentence to a verb.
+
+    :param sentence: str - that uses the word in sentence.
+    :param index: int - index of the word to remove and transform.
+    :return: str - word that changes the extracted adjective to a verb.
+
+    For example, ("It got dark as the sun set.", 2) becomes "darken".
+    """
+    selected_word = sentence.split()[index]
+
+    # 2. Clean the word (remove any trailing punctuation)
+    cleaned_word = selected_word.rstrip('.,!?"')
+
+    # 3. Append the suffix 'en'
+    suffix = "en"
+
+    # 4. Return the new verb
+    return cleaned_word + suffix

solutions/python/raindrops/1/raindrops.py

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+def convert(number):
+    """
+    Converts a number into its corresponding raindrop sounds (Pling, Plang, Plong) 
+    based on divisibility by 3, 5, and 7.
+    """
+
+    # Start with an empty string to accumulate the sounds.
+    raindrops = ""
+
+    # Check for divisibility by 3.
+    # We use independent 'if' statements so we can add multiple sounds.
+    if number % 3 == 0:
+        raindrops += "Pling"
+
+    # Check for divisibility by 5.
+    if number % 5 == 0:
+        raindrops += "Plang"
+
+    # Check for divisibility by 7.
+    if number % 7 == 0:
+        raindrops += "Plong"
+
+    # If the string is empty, it means the number was not divisible by 3, 5, or 7.
+    # In that case, we return the original number as a string.
+    if not raindrops:
+        return str(number)
+    else:
+        return raindrops