citipy
There are 53 repositories under citipy topic.
Wall-E28/world_weather_analysis
This project analyzes top vacation cities based on weather data from Open Weather's API and is visualized using Google Map's API.
boyerjason700/World_weather_analysis
Using multiple API sources, create an app that allows users to filter through random locations based on their temperature range choices.
ChrisBarton107/World_Weather_Analysis
Analyze & visualize weather data. Generate destinations and travel maps using Google Maps Platform APIs.
Dkreitzer/JupyterNotebook_Dashboard
Very first website ever created using images from Dkreitzer/Random_500-City_Weather_Analysis
Harpritkc/World-Weather-Analysis
This Project analyzes top vacation cities based on weather data from Open Weather's API and is visualized using Google Map's API
melindamalone/World_Weather_Analysis
The World Weather Analysis repo utilizes Python and Jupyter Notebook in conjunction with decision and repetition statements, data structures, Pandas, Matplotlib, NumPy, CitiPy, and SciPy statistics to retrieve and use data from OpenWeatherMap and Google Map API. The APIs are used to "get" requests from a server, retrieve and store values from a JSON array, use try and except blocks to resolve errors, create and format scatter plots using Matplotlib, perform linear regression and add regression lines to scatter plots while simultaneously determining favorable vacation destinations for customers based on weather conditions.
mwehner2022/World_Weather_Analysis
Create an app that gives users an itinerary based on their weather preferences.
RabNing/Weather_Near_The_Equator
🌦 Create a Python script to visualize the weather of over 500 cities of varying distances from the equator, and use the data skills to plan future vacations
Ryndine/gmaps_api_vacation
Retrieve weather data using APIs, clean data with pandas, plot data onto a google map, and create a travel itinerary for users.
theodoremoreland/WeatherPy
A Python script to visualize data points of the weather for 500+ cities across the world of varying distance from the equator.
zobairhas/World_Weather_Analysis
Created a vacation itinerary across four different cities in the same country based on weather conditions. The itinerary was visualized as a map. Pins and markers were added with basic details for each city.
13263952/python-api-weather-analysis
This project is a Python-based analysis of weather data and vacation planning using APIs, JSON traversals, and Python libraries. The goal is to visualize weather patterns across cities and assist in vacation decision-making based on specific weather conditions.
abesarah/World_Weather_Analysis
Allows clients to input info about location and average weather temperature to identify potential travel locations and nearby hotels. Users are then prompted to choose up to four cities to create a travel itinerary, which is then plotted using the Google Maps API.
drewholt12/World_Weather_Analysis
Utilizing Jupyter notebooks and python to create a vacation itinerary of 4 cities based on maximum and minimum temperatures, and display the points on google maps with updated popup markers displaying essential information for each location.
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.
Uc71/Plotting-Global-Weather-by-Latitude
Plotted 4 weather variables to understand what the climate is like around the world.
AnushDeCosta/Python-WeatherVacation-Api
Weather and Vacation Analysis: Explore the relationship between latitude and weather variables. Generate scatter plots and regression models. Filter weather data to find cities with desired conditions. Locate nearby hotels for vacation planning. Python, Jupyter Notebook, Pandas, Matplotlib, Citipy, OpenWeatherMap API, Geoapify API.
bishopce16/World_Weather_Analysis
The project’s objective is to improve a travel app to give customers a way to decide their travel destination and ideal hotel based on weather preferences.
cdenq/ideal-vacation-by-weather-predictor
Python analysis challenge that pulls data from weather APIs, analyzes that data, and then visualizes the top "ideal" vacation hotel locations based on results.
chkCreate/World_Weather_Analysis
Execute API calls to retrieve Weather Data, receive input statements to filter preferences and generate travel recommendations and itinerary data.
cmwardcode/World_Weather_Analysis
Travel app development with Python (Scipy, citipy, Pandas, Matplotlib) and APIs
DSupps/World_Weather_Analysis
Analyze & visualize the weather data of 500+ cities across the world. Generate destinations and travel maps using Google Maps Platform APIs.
ed12rivera/World_Weather_Analysis
Create a list of random cities across the globe and pull current weather data. Take user preferences as input and recommend ideal travel destinations.
enj657/World_Weather_Analysis
Found weather data for random cities using OpenWeatherMap API and citipy module. Created user input to filter cities list, click on city and see a Hotel name, the city, country and current weather in the city. Created travel itinerary that shows route between four chosen cities using Google Directions API.
ericfayhuynh/Python-API
Explored weather data correlations using Python, APIs, and visualizations. Planned vacations based on ideal conditions.
ksommerdorf/PythonAPI
A case study using python to collect data from an API request then employing the data to make recommendations based on user input.
leslietorres24/API_Challenge
This project analyzes weather data of 500+ cities across the world using Pandas, Gmaps, Citipy, JSON, and Matplotlib. The data pulled from OpenWeatherMap API was used to identify ideal cities for vacation based on established weather criteria. Using Gmaps, hotels within 5000m of those cities were identified and marked on a world map by Google.
meielerol/python-api-challenge
Randomly generate coordinate locations and associate them with nearby cities using citipy. Use this data and information from openweathermap-api to prove that temperatures increase closer to the equator. Set desired filters for vacation weather and use google-maps-api to identify local hotels for potential vacation destinations.
MireyNM/World_Weather_Analysis
Identify potentiel travel destinations and nearby hotels to help create travel itinerary for customers based on their weather preferences.
nhafer88/World_Weather_Analysis
Analyzed and visualized the weather data of 500+ cities across the world. Generated destinations and travel maps using Google Maps Platform APIs.
Peteresis/World_Weather_Analysis
Unit 6 Challenge - Use of Python and APIs
smisina-amplify/World_Weather_Analysis
Google Maps and OpenWeather APIs used with random geographical points generated; importing into Python and Javascript for transformation; using citypy to find closest towns; plotted on Map; planned round-trip driving route
UserVida/World_Weather_Analysis
Including weather data to the travel search criteria through an API call from Open Weather Maps and Google Places
V-MalM/What-s-the-weather-like
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.
weihaolun/world-weather-analysis
Python API project: Pandas; CityPy; Python Requests; APIs; JSON Traversals; try/except; Python functions; Matplotlib; Linear Regression; heatmaps, Google Maps API.
ZeroDarkHardy/World_Weather_Analysis
Create interactive maps that analyze weather data from cities around the world, and then generate travel maps based on user input.