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…

An API, or application programming interface, is a pre-written set of code that helps you interact with somebody else’s 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. Thi…

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.

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

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.

Creation of a Python script to visualise the weather of 500+ cities using Open Weather Map API

This group project aims to analyze and visualize crime cases in Toronto from 2014-2019. Correlations between crime and various metrics like time and seasons, premises and locations, and economy were looked at using open datasets from Toronto Police.

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