Topic: jupyter-gmaps Goto Github
Some thing interesting about jupyter-gmaps
Some thing interesting about jupyter-gmaps
jupyter-gmaps,An API project that pulls weather from 500+ cities and examines correlations of weather measurements with latitude. Additionally, cities are filtered for "perfect" vacation weather, hotels are found near the perfect spots and a humidity heatmap is created using the hotel spots. Created using Pandas in Jupyter notebook and Jupyter gmaps.
User: cayelsie
jupyter-gmaps,Perform an API call to gather weather data for cities based on a set of random coordinates. Choose best city to vacation based on weather criteria and generate a map with city information
User: geneille
jupyter-gmaps,An API, or application programming interface, is a pre-written set of code that helps you interact with somebody elseโs information. Using APIs will give us the ability to programmatically obtain and parse data from sources like OpenWeatherMap, the US Census, and more. In this project I plotted Data Frames from the API data using Matplotlib. This is one of the ways that I was able to source outside data to use for my projects, and its a great opportunity to practice working with external data. When working with APIs - documentation is key! Each API I use has a different set of rules and guidelines and half the fun is learning all the features each one can provide. Using Python request, APIs, and JSON traversal to answer a fundamental question: "What's the weather like as we approach the equator?" In this project, I'll be creating a Python script to visualize the weather of 500+ cities across the world of varying distance from the equator. To accomplish this, I use a simple Python library, the OpenWeatherMap API, and a little common sense to create a representative model of weather across world cities. To assist in future vacation decisions, a heat map that displays the humidity for every city will be generated using the weather data, jupyter-gmaps, and Google Places API.
User: itsgreyedout
jupyter-gmaps,Creation of a Python script to visualise the weather of 500+ cities using Open Weather Map API
User: kevin-mcconchie
jupyter-gmaps,Python-based NumPy & SciPy Statistical Analysis of Latitude Position vs Weather Performed on a 500+ City Data Set Created by Python CityPy & OpenWeatherMap API Representative of Weather Worldwide
User: kiranrangaraj
jupyter-gmaps,Worldwide weather analysis & vacation destination selection. Creates & visualizes a world weather model using Python, Pandas, Matplotlib and the Open Weather Map API. Locates ideal vacation destinations using Google Places API and Jupyter-gmaps.
User: mthorpester
jupyter-gmaps,This project is in two parts. The first part (WeatherPy) visualizes the weather of 500+ cities across the world of varying distance from the equator, using Python script, CityPy and OpenWeatherMap APIs. The second part (VacationPy) uses jupyter-gmaps and the Google Places API to create a heatmap of these cities, filter down to the cities with an ideal weather condition and find the nearest hotel.
User: neha-nayeem
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