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# python-api-challenge
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WeatherPy

.ipynb_checkpoints/VacationPy-checkpoint.ipynb

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.ipynb_checkpoints/WeatherPy-checkpoint.ipynb

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# OpenWeatherMap API Key
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weather_api_key = "ac68eb747d7d71f54c8c302a89439a32"
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# Geoapify API Key
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geoapify_key = "4d90ede934574abe8435c0a070e962cc"

README.md

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# python-api-challenge
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WeatherPy
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# PYTHON-API
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![MIT](https://img.shields.io/badge/License-MIT-blue)
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## Website:
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[website](https://github.com/Rock-Roll1968/python-api-challenge)
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## Description
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Ideal Weather for Vacation Analysis
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![app_image](Fig1.png)
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## Table of Contents
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- [Installation](#installation)
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- [Usage](#usage)
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- [Credits](#credits)
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- [License](#license)
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- [Features](#features)
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- [Contact](#contact)
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## Installation
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Python, API Key, Jupyter Notebook, CSV, Pandas
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## Usage
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Run the ipynb file
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## Credits
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Ernesto Garcia
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## License
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MIT
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## Features
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Provides ideal weather scatter plots and map with hover pop-up with nearest hotel name.
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## Contact
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If there are any questions or concerns, I can be reached at:
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##### [github: Rock-Roll1968](https://github.com/Rock-Roll1968)
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##### [email: ernesto.v.garcia@outlook.com](mailto:ernesto.v.garcia@outlook.com)

VacationPy.ipynb

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WeatherPy.ipynb

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output_data/.ipynb_checkpoints/cities-checkpoint.csv

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output_data/Fig1.png

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