Very first website ever created using images from Dkreitzer/Random_500-City_Weather_Analysis

WeatherPy notebook to visualize the weather of 500+ cities across the world of varying distance from the equator. VacationPy notebook plans vacation based on results using jupyter-gmaps and the Google Places API.

Series of Jupyter Notebooks analyzing weather data, creating a travel destinations map, and a travel itinerary.

Demonstrates usage of Google Maps APIs, OpenWeatherMapAPI, python libraries (Pandas, Matplotlib, CityPy), and JSON in Jupyter notebook

Create two Jupyter Notebooks: use API calls to determine weather conditions for 500 cities around the equator; use Geoapify API based on the weather analysis to plan future vacations.

Used Jupyter Notebook, Pandas, and Matplotlib to visualize regression analysis on data extracted from Open Weather API. Used Google Maps API to visualize differences in humidity between cities, and to show hotels for locations experiencing great weather.

Weather and Vacation Analysis: Explore the relationship between latitude and weather variables. Generate scatter plots and regression models. Filter weather data to find cities with desired conditions. Locate nearby hotels for vacation planning. Python, Jupyter Notebook, Pandas, Matplotlib, Citipy, OpenWeatherMap API, Geoapify API.

The World Weather Analysis repo utilizes Python and Jupyter Notebook in conjunction with decision and repetition statements, data structures, Pandas, Matplotlib, NumPy, CitiPy, and SciPy statistics to retrieve and use data from OpenWeatherMap and Google Map API. The APIs are used to "get" requests from a server, retrieve and store values from a …