Topic: citipy Goto Github
Some thing interesting about citipy
Some thing interesting about citipy
citipy,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.
User: abesarah
citipy,This project analyzes weather data using the Open Weather API. Demonstrates use of numpy, citipy, json, performing an API call using specific API keys, transforming API responses into a dataframe, and creating visualizations of data collected from API.
User: ajcascella
citipy,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.
User: anushdecosta
citipy,WeatherPy notebook to visualize the weather of 500+ cities across the world of varying distance from the equator. VacationPy notebook plans vacation based on results using jupyter-gmaps and the Google Places API.
User: bbixby
citipy,Using multiple API sources, create an app that allows users to filter through random locations based on their temperature range choices.
User: boyerjason700
citipy,Demonstrate how to query an API and perform analysis to identify differences in climate near the equator
User: catherinegomes
citipy,Python analysis challenge that pulls data from weather APIs, analyzes that data, and then visualizes the top "ideal" vacation hotel locations based on results.
User: cdenq
citipy,Analyze & visualize the weather data of 500+ cities across the world. Generate destinations and travel maps using Google Maps Platform APIs.
User: cedoula
citipy,Execute API calls to retrieve Weather Data, receive input statements to filter preferences and generate travel recommendations and itinerary data.
User: chkcreate
citipy,Analyze & visualize weather data. Generate destinations and travel maps using Google Maps Platform APIs.
User: chrisbarton107
citipy,Travel app development with Python (Scipy, citipy, Pandas, Matplotlib) and APIs
User: cmwardcode
citipy,Very first website ever created using images from Dkreitzer/Random_500-City_Weather_Analysis
User: dkreitzer
Home Page: https://dkreitzer.github.io/HTML_CSS_Homework10/
citipy,Generate random coordinates, find closest cities, pull recent weather data, and visualize with matplotlib
User: dkreitzer
citipy,Perform API calls to OpenWeatherMap to query weather data and plot results.
User: douglasdrake
citipy,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.
User: drewholt12
citipy,Analyze & visualize the weather data of 500+ cities across the world. Generate destinations and travel maps using Google Maps Platform APIs.
User: dsupps
citipy,Create a list of random cities across the globe and pull current weather data. Take user preferences as input and recommend ideal travel destinations.
User: ed12rivera
citipy,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.
User: enj657
citipy,Explored weather data correlations using Python, APIs, and visualizations. Planned vacations based on ideal conditions.
User: ericfayhuynh
citipy,This Project analyzes top vacation cities based on weather data from Open Weather's API and is visualized using Google Map's API
User: harpritkc
citipy,Combining the OpenWeatherMap API and the Citipy module, I generate a list of random cities and analyze the relationship between various weather characteristics and latitude. I then reproduce the charts from my analysis on a fully functioning website with Plotly, Bootstrap, and JavaScript. (Please note: Website version is still in progress.)
User: hmlanden
Home Page: https://hmlanden.github.io/WeatherPy/
citipy,A case study using python to collect data from an API request then employing the data to make recommendations based on user input.
User: ksommerdorf
citipy,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.
User: meielerol
Home Page: https://meielerol.github.io/API-challenge
citipy,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.
User: melindamalone
citipy,In this exercise I utilized Python libraries (requests, citipy, pandas, numpy, matplotlib.pyplot, datetime), JSON traversals, and the OpenWeatherMap API to answer a fundamental question: "What's the weather like as we approach the equator?" Weather data were collected for over nine hundred randomly selected cities across the world.
User: minas26902
citipy,Identify potentiel travel destinations and nearby hotels to help create travel itinerary for customers based on their weather preferences.
User: mireynm
citipy,Create an app that gives users an itinerary based on their weather preferences.
User: mwehner2022
citipy,Analyzed and visualized the weather data of 500+ cities across the world. Generated destinations and travel maps using Google Maps Platform APIs.
User: nhafer88
citipy,Unit 6 Challenge - Use of Python and APIs
User: peteresis
citipy,Python API Requests & JSON Traversals Visualizing the Weather of 500+ World Cities
User: petralee2019
citipy,For this project, I created a Python script to visualize the weather of 500+ cities across the world of varying distance from the equator. To accomplish this, I utilized a simple Python library, the OpenWeatherMap API, and a little common sense to create a representative model of weather across world cities.
User: pharmon9847
citipy,For this project, I created a Python script to visualize the weather of 500+ cities across the world of varying distance from the equator. To accomplish this, I utilized a simple Python library, the OpenWeatherMap API, and a little common sense to create a representative model of weather across world cities.
User: pharmon9847
citipy,π¦ 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
User: rabning
citipy,Study on the relationship between geolocation and weather condition, using OpenWeatherMap API
User: rochiecuevas
citipy,Retrieve weather data using APIs, clean data with pandas, plot data onto a google map, and create a travel itinerary for users.
User: ryndine
citipy,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
User: smisina-amplify
citipy,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.
User: tamerfa
citipy,A Python script to visualize data points of the weather for 500+ cities across the world of varying distance from the equator.
User: theodoremoreland
citipy,Plotted 4 weather variables to understand what the climate is like around the world.
User: uc71
citipy,Including weather data to the travel search criteria through an API call from Open Weather Maps and Google Places
User: uservida
citipy,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.
User: v-malm
citipy,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.
User: vgnenov
citipy,This project analyzes top vacation cities based on weather data from Open Weather's API and is visualized using Google Map's API.
User: wall-e28
citipy,Python API project: Pandas; CityPy; Python Requests; APIs; JSON Traversals; try/except; Python functions; Matplotlib; Linear Regression; heatmaps, Google Maps API.
User: weihaolun
citipy,I created a Python script to visualize the weather of 500+ cities across the world of varying distance from the equator.Β Then, I used Jupyter notebook, Google Maps, and Google Places API, and created a heat map of humidity. Finally, I created my ideal weather condition on the map, used Google Places API to find the hotel information for each city.
User: yukiekajita
citipy,Create interactive maps that analyze weather data from cities around the world, and then generate travel maps based on user input.
User: zerodarkhardy
citipy,
User: zgrinacoff
Home Page: https://zgrinacoff.github.io/Web-Visualization-Dashboard-Latitude/
citipy,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.
User: zobairhas
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