Weatherpy and Vacationpy Python API analysis scripts to run visualizations.
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Updated
Nov 3, 2020 - Jupyter Notebook
Weatherpy and Vacationpy Python API analysis scripts to run visualizations.
## Background Whether financial, political, or social -- data's true power lies in its ability to answer questions definitively. I will perform Python requests, APIs, and JSON traversals to answer a fundamental question: "What's the weather like as we approach the equator?" Now, we know what you may be thinking: _"Duh. It gets hotter..."_ But, i…
Using Python to pull API data from Open Weather API and Google Maps API to track weather information, apply linear regression to data, and map the ideal places for a vacation based on the weather.
A Python script to visualize the weather of 500+ cities across the world of varying distance from the equator, using Python library, the OpenWeatherMap API, jupyter-gmaps and the Google Places API.
In this project, I was asked to use Python requests, APIs, and JSON traversals to answer a fundamental question: "What's the weather like as we approach the equator?" I was also asked to us Google Maps API to plot heat-map showing humidity of different places, and the nearest hotel in places which met a set vacation criteria.
A challenge that utilizes python scripts and OpenWeatherMap API to visualize 500+ cities' weather data.
6.Python API scrapping Research - What's the Weather Like?
What's the weather like as we approach the equator? In this project, python and API calls were used to compile weather data in order to create visualizations that demonstrate the increase temperatures near the equator.
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