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Abrasion of Current Weather of a City Using Variant Python Libraries and Weather Application Programming Interface (API)

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Abrasion of Current Weather of a City Using Variant Python Libraries and Weather Application Programming Interface (API)


H. Sumesh Singha | Dr. Bhuvana J



H. Sumesh Singha | Dr. Bhuvana J "Abrasion of Current Weather of a City Using Variant Python Libraries and Weather Application Programming Interface (API)" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-1, December 2020, pp.593-596, URL: https://www.ijtsrd.com/papers/ijtsrd38037.pdf

Web allows a wide extent of realities and information source set up by people. However, it will comprise of a gigantic arrangement of divergent and debilitated coordinated information. In metropolitan urban areas of India, there are different institution that measures climate such as The Energy Resource and Institute, Indian Institute of Tropical Meteorology and many more. There are also different sites that also provide accurate weather data of cities in India. For this research, I am using web scraping method to collect current weather report for a specific city in India from two different sources. The fundamental target of Web Scraping is to extract data from one or numerous sites and cycle it into basic structures such as JSON, text, CSV files. This incorporates web crawler and data extractor. Web crawler slithers all the connections present in a site page and stores them in an information base though data extractor extricates information from these put away connections. The information gathered by this web scraping procedure will shape a data set or information distribution centre that can be utilized for additional exploration on information digging for climate determining in metropolitan urban areas. These data stored in the database can be utilize to enhance the application and also meteorologist can study the weather pattern from the data and alert the people of the states from upcoming natural disasters.

Web scraping, web crawler, data extractor, meteorologist


IJTSRD38037
Volume-5 | Issue-1, December 2020
593-596
IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470
Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

International Journal of Trend in Scientific Research and Development - IJTSRD having online ISSN 2456-6470. IJTSRD is a leading Open Access, Peer-Reviewed International Journal which provides rapid publication of your research articles and aims to promote the theory and practice along with knowledge sharing between researchers, developers, engineers, students, and practitioners working in and around the world in many areas like Sciences, Technology, Innovation, Engineering, Agriculture, Management and many more and it is recommended by all Universities, review articles and short communications in all subjects. IJTSRD running an International Journal who are proving quality publication of peer reviewed and refereed international journals from diverse fields that emphasizes new research, development and their applications. IJTSRD provides an online access to exchange your research work, technical notes & surveying results among professionals throughout the world in e-journals. IJTSRD is a fastest growing and dynamic professional organization. The aim of this organization is to provide access not only to world class research resources, but through its professionals aim to bring in a significant transformation in the real of open access journals and online publishing.

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