{"id":51010,"date":"2024-04-15T23:18:37","date_gmt":"2024-04-15T23:18:37","guid":{"rendered":"https:\/\/exam.pscnotes.com\/mcq\/?p=51010"},"modified":"2024-04-15T23:18:37","modified_gmt":"2024-04-15T23:18:37","slug":"in-python-which-library-provides-tools-for-working-with-databases-and-performing-sql-queries-using-pandas-data-structures","status":"publish","type":"post","link":"https:\/\/exam.pscnotes.com\/mcq\/in-python-which-library-provides-tools-for-working-with-databases-and-performing-sql-queries-using-pandas-data-structures\/","title":{"rendered":"In Python, which library provides tools for working with databases and performing SQL queries using Pandas data structures?"},"content":{"rendered":"<p>[amp_mcq option1=&#8221;SQLite&#8221; option2=&#8221;SQLAlchemy&#8221; option3=&#8221;SQLtools&#8221; option4=&#8221;SQLite&#8221; correct=&#8221;option2&#8243;]<!--more--><\/p>\n<p>The correct answer is: <strong>B. SQLAlchemy<\/strong><\/p>\n<p>SQLAlchemy is a Python SQL toolkit and Object Relational Mapper (ORM) that enables Python developers to insert, update, delete and query data from any SQL database. It provides a high-level abstraction of SQL, so that developers can focus on writing Python code instead of SQL queries.<\/p>\n<p>SQLite is a relational database management system (RDBMS) that is self-contained, serverless, zero-configuration, and transactional. It is a popular choice for embedded databases, as it is small and fast. However, it is not as well-suited for large-scale applications as other RDBMSs.<\/p>\n<p>SQLtools is a Python library that provides tools for working with databases. It includes functions for connecting to databases, executing SQL queries, and manipulating data. However, it does not provide an ORM, so developers must write SQL queries directly.<\/p>\n<p>D is incorrect because it is not a Python library.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>[amp_mcq option1=&#8221;SQLite&#8221; option2=&#8221;SQLAlchemy&#8221; option3=&#8221;SQLtools&#8221; option4=&#8221;SQLite&#8221; correct=&#8221;option2&#8243;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[737],"tags":[],"class_list":["post-51010","post","type-post","status-publish","format-standard","hentry","category-data-analysis-with-python","no-featured-image-padding"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v22.2 (Yoast SEO v23.3) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>In Python, which library provides tools for working with databases and performing SQL queries using Pandas data structures?<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/exam.pscnotes.com\/mcq\/in-python-which-library-provides-tools-for-working-with-databases-and-performing-sql-queries-using-pandas-data-structures\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"In Python, which library provides tools for working with databases and performing SQL queries using Pandas data structures?\" \/>\n<meta property=\"og:description\" content=\"[amp_mcq option1=&#8221;SQLite&#8221; 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