<jupyter_start><jupyter_text>First Step<jupyter_code># Dependencies and Setup
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np
import requests
import time
from scipy.stats import linregress

# Import API key
from api_keys import weather_api_key

# Incorporated citipy to determine city based on latitude and longitude
from citipy import citipy

# Output File (CSV)
output_data_file = "output_data/cities.csv"

# Range of latitudes and longitudes
lat_range = (-90, 90)
lng_range = (-180, 180)<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.06261510128913444, 'fraction_numerical': 0.01841620626151013, 'mean_word_length': 5.886075949367089, 'pattern_counts': {'":': 0, '<': 5, '<?xml version=': 0, '>': 5, 'https://': 0, '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': '1', 'dir': 'jupyter-structured-clean-dedup', 'id': '594047', 'license': 'ADSL', 'n_tokens_mistral': 193, 'n_tokens_neox': 178, 'n_words': 62, 'path': '.ipynb_checkpoints/WeatherPy_LV-checkpoint.ipynb', 'repo_name': 'Lucasmvs1994/python-api-challenge', 'size': '543'}