{"id":58085,"date":"2024-04-16T01:13:17","date_gmt":"2024-04-16T01:13:17","guid":{"rendered":"https:\/\/exam.pscnotes.com\/mcq\/?p=58085"},"modified":"2024-04-16T01:13:17","modified_gmt":"2024-04-16T01:13:17","slug":"which-python-library-is-commonly-used-for-working-with-network-data-and-performing-network-analysis-tasks","status":"publish","type":"post","link":"https:\/\/exam.pscnotes.com\/mcq\/which-python-library-is-commonly-used-for-working-with-network-data-and-performing-network-analysis-tasks\/","title":{"rendered":"Which Python library is commonly used for working with network data and performing network analysis tasks?"},"content":{"rendered":"<p>[amp_mcq option1=&#8221;Matplotlib&#8221; option2=&#8221;Pandas&#8221; option3=&#8221;NetworkX&#8221; option4=&#8221;Scikit-learn&#8221; correct=&#8221;option3&#8243;]<!--more--><\/p>\n<p>The correct answer is C. NetworkX.<\/p>\n<p>NetworkX is a Python package for the creation, manipulation, and analysis of complex networks. It is a popular choice for network analysis because it is easy to use and has a wide range of features.<\/p>\n<p>Matplotlib is a Python 2D plotting library which produces publication quality figures in a variety of hardcopy formats and interactive environments across platforms.<\/p>\n<p>Pandas is a Python package that provides fast, flexible, and expressive data structures designed to make working with &#8220;relational&#8221; or &#8220;labeled&#8221; data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real world data analysis in Python. Additionally, it has the broader goal of becoming the most powerful and flexible open source data analysis \/ manipulation tool available in any language. It is already well on its way towards this goal.<\/p>\n<p>Scikit-learn is a free software machine learning library for the Python programming language. It features various classification, regression and clustering algorithms including support vector machines, random forests, gradient boosting, k-means and DBSCAN, and is designed to interoperate with the Python numerical and scientific libraries NumPy and SciPy.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>[amp_mcq option1=&#8221;Matplotlib&#8221; option2=&#8221;Pandas&#8221; option3=&#8221;NetworkX&#8221; option4=&#8221;Scikit-learn&#8221; correct=&#8221;option3&#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-58085","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>Which Python library is commonly used for working with network data and performing network analysis tasks?<\/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\/which-python-library-is-commonly-used-for-working-with-network-data-and-performing-network-analysis-tasks\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Which Python library is commonly used for working with network data and performing network analysis tasks?\" \/>\n<meta property=\"og:description\" content=\"[amp_mcq option1=&#8221;Matplotlib&#8221; 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