Python API Challenge

WeatherPy

The weather data is consumed from OpenWeatherMap API.
A sample of ~600 cities is randomly selected with following ranges for latitude(-90, 90) and longitude (-180, 180). Various scatter plots are drawn to compare the relationship between latitude vs Temparature, Humidity, Cloudiness & Wind Speed.
Various Linear Regression Plots are drawn to compare the weather pattern between Nothern Hemisphere (latitude > 0) and Southern Hemishpere (latitude >= 0)

VacationPy

The restaurant data is consumed from Geoapify API.
A hotel map is drawn for cities filtered for ideal weather condition (Max temp > 18 and Max Temp < 24 and Wind Speed < 5).

Files

• Source Code -
  WeatherPy/WeatherPy.ipynb
  VacationPy/VacationPy.ipynb
• Config - config/api_keys.py
• APIs - OpenWeatherMap API Geoapify API
• Output -
  output_data/cities.csv
  output_data/Fig1.png
  output_data/Fig2.png
  output_data/Fig3.png
  output_data/Fig4.png

Run Instructions

• Obtain API keys for OpenWeather Map & Geoapify APIs
• Open a terminal
• Confirm condo version
  conda --version
• Confirm jupyter version
  jupyter --version
• Activate conda environment
  conda activate dev
• Launch Jupyter Notebook jupyter notebook
• Jupyter Notebook is opened in a browser
• Copy config/api_keys.py.template to config/api_keys.py
• Update config/api_keys.py with API keys for OpenWeather Map & Geoapify APIs
• Open "WeatherPy/WeatherPy.ipynb" file using Jupyter Notebook
• Click on 'Cell > Run All' to run
• Open "VacationPy/VacationPy.ipynb" file using Jupyter Notebook
• Click on 'Cell > Run All' to run

Disclaimer

This repo was published for educational purpose only. Copyright 2023 edX Boot Camps LLC. All rights reserved.