East Montpelier (CDP), Vermont

East Montpelier is a census-designated place (CDP) comprising the central village of the town of East Montpelier, Washington County, Vermont, United States. The population of the CDP was 80 at the 2010 census.[2]

East Montpelier, Vermont
Census-designated place
Location in Washington County and the state of Vermont
Coordinates: 44°16′15″N 72°29′14″W
CountryUnited States
StateVermont
CountyWashington
Area
 • Total0.10 sq mi (0.25 km2)
 • Land0.09 sq mi (0.24 km2)
 • Water0.004 sq mi (0.01 km2)
Elevation
728 ft (222 m)
Population
 (2010)
 • Total80
 • Density830/sq mi (320/km2)
Time zoneUTC-5 (Eastern (EST))
 • Summer (DST)UTC-4 (EDT)
ZIP code
05651
Area code(s)802
FIPS code50-21850[1]

Geography

According to the United States Census Bureau, the East Montpelier CDP has a total area of 0.097 square miles (0.25 km2), of which 0.093 square miles (0.24 km2) is land and 0.004 square miles (0.01 km2), or 5.21%, is water.[3] East Montpelier is located along U.S. Route 2, 7 miles (11 km) east of the center of Montpelier, the state capital, and 31 miles (50 km) west of St. Johnsbury. Vermont Route 14 also passes through the village, leading north to Hardwick and south to Barre.

East Montpelier is located on the north bank of the Winooski River.

gollark: https://aphyr.com/posts/342-typing-the-technical-interview
gollark: If this worked as expected, in theory you could do```pythonraise quibble("abcd")```but alas, no.
gollark: But which runs much faster.
gollark: ```pythonfrom requests_futures.sessions import FuturesSessionimport concurrent.futures as futuresimport randomtry: import cPickle as pickleexcept ImportError: import pickletry: words_to_synonyms = pickle.load(open(".wtscache")) synonyms_to_words = pickle.load(open(".stwcache"))except: words_to_synonyms = {} synonyms_to_words = {}def add_to_key(d, k, v): d[k] = d.get(k, set()).union(set(v))def add_synonyms(syns, word): for syn in syns: add_to_key(synonyms_to_words, syn, [word]) add_to_key(words_to_synonyms, word, syns)def concat(list_of_lists): return sum(list_of_lists, [])def add_words(words): s = FuturesSession(max_workers=100) future_to_word = {s.get("https://api.datamuse.com/words", params={"ml": word}): word for word in words} future_to_word.update({s.get("https://api.datamuse.com/words", params={"ml": word, "v": "enwiki"}): word for word in words}) for future in futures.as_completed(future_to_word): word = future_to_word[future] try: data = future.result().json() except Exception as exc: print(f"{exc} fetching {word}") else: add_synonyms([w["word"] for w in data], word)def getattr_hook(obj, key): results = list(synonyms_to_words.get(key, set()).union(words_to_synonyms.get(key, set()))) if len(results) > 0: return obj.__getattribute__(random.choice(results)) else: raise AttributeError(f"Attribute {key} not found.")def wrap(obj): add_words(dir(obj)) obj.__getattr__ = lambda key: getattr_hook(obj, key)wrap(__builtins__)print(words_to_synonyms["Exception"])```New version which tends to reduce weirder output.
gollark: https://github.com/joelgrus/fizz-buzz-tensorflow/blob/master/Fizz%20Buzz%20in%20Tensorflow.ipynb

References
  1. "U.S. Census website". United States Census Bureau. Retrieved 2008-01-31.
  2. "Profile of General Population and Housing Characteristics: 2010 Demographic Profile Data (DP-1): East Montpelier CDP, Vermont". United States Census Bureau. Retrieved September 20, 2012.
  3. "Geographic Identifiers: 2010 Demographic Profile Data (G001): East Montpelier CDP, Vermont". United States Census Bureau. Retrieved September 20, 2012.
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