Python requests, APIs, and JSON traversals exercise

WeatherPy Part 1: Weather API Analysis & Visualization - Python-API-Challenge

Analyzed the weather of 500+ cities using the OpenWeatherMap API. Displayed results using pandas, linear regressions via matplotlib, and a heatmap using Google Places API.

Takes data gathered from OpenWeatherApi, filters then and then marks them on Gmaps

In this project python requests, APIs and JSON traversals have been done to determine the possible locations for vacations around the world. Graphs have been plotted to determine the parameter variations in nothern and southern hemisphere. Ideal location and nearest hotels have been determined based on the selected parameter range.

Projects analyzing and visualizing data retrieved from varied APIs

This is sample search Restaurants using google map point as center and custom distance from center.

C# Google Maps Api Interface (gmaps-api) for interacting with the backend web services for Google Maps

Use API calls to discover weather trends and plan a vacation around those discoveries.

A case study using python to collect data from an API request then employing the data to make recommendations based on user input.

This project focuses on discovering influential reviewer on Yelp.

A-World is a simple website that allows users to view routes on Google Maps. The website is built using HTML and CSS to create a clean and responsive interface.

An analysis of changes of weather patterns from around the world using python and APIs.

Created a Python script to visualize the weather of 500+ cities across the world of varying distance from the equator by utilizing Python library - citipy, and the OpenWeatherMap API, to create a representative model of weather across world cities.

Something basic for converting addresses to coordinates in order to generate a map with property prices pinned on the map. Uses Gmaps API to search for the address and call the coordinates for it. Also a small bit to throw in some POIs as reference points.

Weather analysis of 500+ cities of the world to plan future vacations using Python Pandas

A web app developed using dot net architecture which primarily focuses on fuel conservation and pollution control in Lucknow.

Segunda versão da aplicação mobile (android) Where's My Beer.

Latitude and Longitude Analysis