Add PRO2 lectures

pro2/code/python/brackets/brackets.log

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+([{a}]): True
+([a]{b}): True
+{a}[ ](b): True
+([a): False
+([a)]: False
+({}[])(): True
+({a][b)c}: False

pro2/code/python/brackets/brackets.py

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+
+BRACKETS = {')': '(', ']': '[', '}': '{'}
+
+def is_valid(str):
+  stack = []
+  for char in str:
+    if char in BRACKETS.values():
+      stack.append(char)
+    elif char in BRACKETS:
+      if not stack or stack.pop() != BRACKETS[char]:
+        return False
+  return not stack
+
+for brackets in ["([{a}])", "([a]{b})", "{a}[ ](b)", "([a)", "([a)]", "({}[])()", "({a][b)c}"]:
+  print(brackets + ": " + str(is_valid(brackets)))

pro2/code/python/movies/movies.log

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+Action: Chris Evans & Robert Downey Jr. (5 movies)
+Drama: Benedict Cumberbatch & Martin Freeman (9 movies)
+Horror: Helena Bonham Carter & Johnny Depp (2 movies)

pro2/code/python/movies/movies.py

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+import requests
+
+def actors(movies):
+  cnts = {}
+  for movie in movies:
+    acts = movie['actors'].split(', ')
+    for act1 in acts:
+      for act2 in acts:
+        if act1 < act2:
+          pair = act1, act2
+          if pair in cnts:
+            cnts[pair] += 1
+          else:
+            cnts[pair] = 1
+  return sorted(cnts.items(), key = lambda item: item[1])[-1]
+
+movies = requests.get("https://lovro.fri.uni-lj.si/api/movies").json()
+
+for genre in ["Action", "Drama", "Horror"]:
+  (act1, act2), cnt = actors(movie for movie in movies if genre in movie['genres'])
+  print(f"{genre}: {act1} & {act2} ({cnt} movies)")

pro2/code/python/paris24/paris24.py

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+import requests
+import matplotlib.pyplot as plt
+
+data = requests.get("https://lovro.fri.uni-lj.si/api/paris24").json()
+
+results = []
+for country in data:
+  medals = data[country]['gold'] + data[country]['silver'] + data[country]['bronze']
+  results.append((country, medals, medals / data[country]['population'] * 10**6))
+
+fig, axs = plt.subplots(1, 2, figsize = [15.6, 4.8])
+
+results.sort(key = lambda item: item[1])
+axs[0].barh([c for c, _, _ in results[-20:]], [r for _, r, _ in results[-20:]], color = '0.9', ec = 'k')
+axs[0].title.set_text("Število medalj")
+
+results.sort(key = lambda item: item[2])
+axs[1].barh([c for c, _, _ in results[-20:]], [r for _, _, r in results[-20:]], color = '0.9', ec = 'k', log = True)
+axs[1].title.set_text("Število medalj / milijon prebivalcev")
+
+fig.savefig("paris24.pdf", bbox_inches = 'tight')