citipy-library

There are 21 repositories under citipy-library topic.

  • bnarath/python-api-challenge

    Language:Jupyter Notebook110
  • jwhite1987/Open-Weather-Map

    The goal of this project is to utilize the CitiPy Python Library and the OpenWeatherMap API to create a representative model of weather across world cities.

    Language:Jupyter Notebook1
  • taznuva/World_Weather_Analysis

    Collecting data for travel tech company on predicting best time of year to plan vacations. Weather map API with Google Maps, Citipy module, and MatPlotlib.

    Language:Jupyter Notebook110
  • teomotun/Climate-Visualization-Dashboard

    Web application to show weather distribution in 500+ randomly generated cities across the world

    Language:HTML120
  • ashok-bidani/World-Cities-Weather

    Analysis of patterns in global weather data taken from 500 cities using the Python Citipy package, Matplotlib, and Open Weather Map API

    Language:Jupyter Notebook0101
  • Python_API_Challenge

    asmvm/Python_API_Challenge

    A closer look of weather conditions in 500+ cities across the world are evaluated relative to their distance from the equator. Citipy API and Python is used to collect and evaluate the data. Project fulfilled for Georgia Tech Data Science and Analytics certificate.

    Language:Jupyter Notebook0000
  • analysis-of-global-weather-patterns

    coreydevinanderson/analysis-of-global-weather-patterns

    Analysis of global weather patterns for vacation planning using citipy, OpenWeather API, and Google Maps API.

    Language:Jupyter Notebook0100
  • daluongo/API-WeatherPy

    Created a Python script to visualize the weather of 500+ cities across the world of varying distance from the equator.

    Language:Jupyter Notebook0100
  • nqazimn/python-api-challenge

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  • tamerfa/Python-Api-Study-on-Weather

    An exercise on getting the weather data of about 600 cities using OpenWeatherMap API, filtering the data and creating a heatmap for the cities that fulfil certain criteria.

    Language:Jupyter Notebook0100
  • bcaldwell19/World_Weather_Analysis

    The project was an introduction to using APIs and parsing their responses using python and PANDAS and Matplotlib libraries.

    Language:Jupyter Notebook20
  • Borruu/python-api-challenge

    Map visualisations of cities and accommodation across 500 random locations, along with weather conditions and their relationship to latitude.

    Language:Jupyter Notebook10
  • celeste1030/python-api-challenge

    Used Citipy and OpenWeatherMap API to create a representative model of weather across world cities. Applied jupyter-gmaps and the Google Places API to anaylze and plot ideal vacation locations. 🌴

    Language:Jupyter Notebook10
  • foofx88/Python-API-Weather_Analysis

    Using Python API calls to get ideal Vacation Spot

    Language:Jupyter Notebook10
  • James-Akerman/weather-analysis

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

    Language:Jupyter Notebook10
  • NEXTSLIM/Python-API-Challenge

    Creating a Python script to visualize the weather of 500+ cities across the world of varying distance from the equator. The idea is to create a representative model of weather across world cities.

    Language:Jupyter Notebook10
  • Pip85/practice-api

    Practice exercise from Georgia Tech Data Analytics Boot Camp. Analysis, graphs & maps based on random latitudes/longitudes from Python Citipy library and Open Weather Map API.

    Language:Jupyter Notebook10
  • rmat112/World_Weather_Analysis

    Preapare a travel app. Add weather information and filter available data to identify potential travel destinations and nearby hotels

    Language:Jupyter Notebook10
  • SColson82/Vacation_Weather

    Finding an ideal vacation destination using OpenWeatherMap API.

    Language:Jupyter Notebook10
  • selkhayri/World_Weather_Analysis

    The aim of this project is display travel-related information, such weather data and accommodation data, on a map.

    Language:Jupyter Notebook20
  • vgnenov/python-api-challenge

    Utilizing various Python scripts and libraries to visualize the weather in over 500 world cities and displaying the results on a heatmap, after which writing additional code to map hotels (within our given parameters) that would make for an ideal vacation.

    Language:Jupyter Notebook00