<jupyter_start><jupyter_text>b82654b4f199aad130cedeeb1233d5a3 >> API KEY!<jupyter_code>current_temperature.keys()
current_temperature ['currently'] ['temperature']
response = requests.get(f'https://api.darksky.net/forecast/{API_KEY}/48, -101')
random_current_temperature = response.json()
print(random_current_temperature)
random_current_temperature.keys()
random_current_temperature ['currently'] ['temperature']<jupyter_output>{'latitude': 48, 'longitude': -101, 'timezone': 'America/Chicago', 'currently': {'time': 1559837635, 'summary': 'Clear', 'icon': 'clear-day', 'nearestStormDistance': 129, 'nearestStormBearing': 267, 'precipIntensity': 0, 'precipProbability': 0, 'temperature': 73.07, 'apparentTemperature': 73.07, 'dewPoint': 46.52, 'humidity': 0.39, 'pressure': 1012, 'windSpeed': 10.83, 'windGust': 10.83, 'windBearing': 125, 'cloudCover': 0.04, 'uvIndex': 6, 'visibility': 10, 'ozone': 311.45}, 'minutely': {'summary': 'Clear for the hour.', 'icon': 'clear-day', 'data': [{'time': 1559837580, 'precipIntensity': 0, 'precipProbability': 0}, {'time': 1559837640, 'precipIntensity': 0, 'precipProbability': 0}, {'time': 1559837700, 'precipIntensity': 0, 'precipProbability': 0}, {'time': 1559837760, 'precipIntensity': 0, 'precipProbability': 0}, {'time': 1559837820, 'precipIntensity': 0, 'precipProbability': 0}, {'time': 1559837880, 'precipIntensity': 0, 'precipProbability': 0}, {'time': 1559837940, 'precipIntens[...]<jupyter_text>jangan posting API KEY di github!<jupyter_code>!touch.env<jupyter_output>/bin/sh: touch.env: command not found<jupyter_text>akan buat new blank file called .env<jupyter_code>!pwd<jupyter_output>/Users/dronejournalismlab
{'fraction_non_alphanumeric': 0.1853629274145171, 'fraction_numerical': 0.10137972405518897, 'mean_word_length': 9.360248447204969, 'pattern_counts': {'":': 0, '<': 10, '<?xml version=': 0, '>': 12, 'https://': 1, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'chain_length': '3', 'dir': 'jupyter-structured-clean-dedup', 'id': '106765', 'license': 'MIT', 'n_tokens_mistral': 740, 'n_tokens_neox': 591, 'n_words': 123, 'path': 'Dark Sky API.ipynb', 'repo_name': 'kandilysnc/api_work', 'size': '1667'}