{"id":250574,"date":"2023-04-24T13:48:15","date_gmt":"2023-04-24T13:48:15","guid":{"rendered":"https:\/\/imarticus.org\/?p=250574"},"modified":"2023-05-01T13:52:02","modified_gmt":"2023-05-01T13:52:02","slug":"top-5-python-libraries-for-data-science","status":"publish","type":"post","link":"https:\/\/imarticus.org\/blog\/top-5-python-libraries-for-data-science\/","title":{"rendered":"Top 5 Python Libraries for Data Science"},"content":{"rendered":"<p><span style=\"font-weight: 400;\">Python is considered the most popular programming language used by data scientists on a daily basis. As an object-oriented, high-performance, and open-source language has revolutionised solving data-related problems and tasks like <\/span><span style=\"font-weight: 400;\">data frame manipulation<\/span><span style=\"font-weight: 400;\">, <\/span><span style=\"font-weight: 400;\">data visualizatio<\/span><span style=\"font-weight: 400;\">n, and the like. It is also widely used in multiple <\/span><span style=\"font-weight: 400;\">types of Machine Learning<\/span><span style=\"font-weight: 400;\">. Python comes with numerous useful libraries for data science that developers widely use to solve issues.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The Python community creates and maintains these libraries, which may be installed via package managers like pip. They are simply imported into Python scripts upon installation, enabling programmers to make full use of their capabilities and features.<\/span><\/p>\n<h2><strong>Why Are Python Libraries Important?<\/strong><\/h2>\n<p><span style=\"font-weight: 400;\">Python libraries have multiple use cases and are widely used because they are:-<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Reusable: <\/b><span style=\"font-weight: 400;\">Python libraries enable developers to reuse code developed by others to do specific tasks or address specific issues. This saves programmers a lot of time and effort because they aren't required to write code from the scratch for each project.\n<p><\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Highly efficient: <\/b><span style=\"font-weight: 400;\">Python modules are frequently optimised for speed, allowing developers to complete complicated jobs fast and efficiently. This can result in shorter development times and improved application performance.\n<p><\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Standardised: <\/b><span style=\"font-weight: 400;\">Python libraries provide a consistent collection of tools and functions on which developers may rely. This makes project collaboration easy because everyone is utilising the same tools and methodologies.\n<p><\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Supported:<\/b><span style=\"font-weight: 400;\"> Python libraries have a huge and active community that provides assistance and contributes to their development. This can assist developers in solving difficulties fast and learning from the experiences of others.\n<p><\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Innovative:<\/b><span style=\"font-weight: 400;\"> Python libraries frequently provide state-of-the-art features and premium functionality that may be leveraged to develop creative apps. This can assist developers in staying miles ahead and developing solutions that satisfy changing corporate demands.<\/span><\/li>\n<\/ul>\n<h2><strong>5 Most Widely Used Python Libraries\u00a0<\/strong><\/h2>\n<p><span style=\"font-weight: 400;\">There are dozens of readily accessible Python libraries that cover a wide variety of functionalities including data analysis, web development, scientific computing, artificial intelligence, machine learning, and others. Here is a list of the top 5 Python libraries:-<\/span><\/p>\n<h3><strong>Pillow<\/strong><\/h3>\n<p><span style=\"font-weight: 400;\">Pillow is a well-known open-source library that enables programmers to manipulate images. It is a counterpart of PIL (Python Imaging Library) based on the <\/span><span style=\"font-weight: 400;\">OOPS concepts in programming<\/span><span style=\"font-weight: 400;\"> and supports <\/span><span style=\"font-weight: 400;\">a broad range of image file formats such as GIF, JPEG, PNG, BMP, WEBP, and TIFF. It represents and manipulates pictures by using classes and objects. Developers may use Pillow to do image processing operations like cropping, filtering, resizing, and modifying colours.\u00a0<\/span><\/p>\n<p><b>Features:-<\/b><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Image metadata support<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Easy conversion of image format<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Seamless integration with different Python libraries<\/span><\/li>\n<\/ul>\n<p><b>Applications:-<\/b><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Image processing<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Image enhancement<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Image analysis<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Image file handling<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Web development<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Data visualization<\/span><\/li>\n<\/ul>\n<h3><strong>NumPy<\/strong><\/h3>\n<p><span style=\"font-weight: 400;\">NumPy<\/span><span style=\"font-weight: 400;\"> (Numerical Python) is the foundational Python module used in numerical computation and comprises a strong N-dimensional array object. With around 18,000 comments on GitHub, it receives a massive amount of community support via an active group of 700 contributors. It is an array-processing general-purpose software that offers high-performance arrays (multidimensional objects), and tools for manipulating them.\u00a0<\/span><\/p>\n<h3><b>Features:-<\/b><\/h3>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Provides quick functions precompiled for numerical routines<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Provides better efficiency with array-oriented computing<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Encourages object-oriented strategies<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Allows for more compact and quick calculations via Vectorisation<\/span><\/li>\n<\/ul>\n<h3><b>Applications:-\u00a0<\/b><\/h3>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Used widely in data analysis.\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Generates a strong N-dimensional array.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Formulates the foundation of different libraries like sci-kit-learn and SciPy.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">When used with SciPy and matplotlib, it helps replace MATLAB.<\/span><\/li>\n<\/ul>\n<h3><strong>Pandas<\/strong><\/h3>\n<p><span style=\"font-weight: 400;\">Pandas (Python data analysis) is an essential component of data science and is the most popular and commonly used Python package for data research. It is widely utilised in data analysis and cleansing and is supported by an active GitHub community of around 1,200 contributors. It is popularly used for <\/span><span style=\"font-weight: 400;\">data frame manipulation<\/span><span style=\"font-weight: 400;\"> and offers quick and dynamic data structures like data frame CDs, that work well with structured data.\u00a0<\/span><\/p>\n<h3><b>Features:-<\/b><\/h3>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Fluent syntax and extensive functionality allow users to work with missing data.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Allows users to write their own function and execute it on a series of data.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">A high level of abstraction<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">It includes high-level data structures and tools for data manipulation.<\/span><\/li>\n<\/ul>\n<h3><b>Applications:-<\/b><\/h3>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Data wrangling and cleansing<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Data frame manipulation<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">ETL (extract, transform, load) processes for data transformation and storage.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Academic and commercial applications like statistics, neurology, and economics.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Time-series-specific functions like linear regression, moving window, date range creation, and date shifting.<\/span><\/li>\n<\/ul>\n<h3><strong>Keras<\/strong><\/h3>\n<p><span style=\"font-weight: 400;\">Keras is a high-functioning neural network API that is written in Python and runs on top of various ML frameworks, like Theano, TensorFlow, or CNTK. It is a popular library that is widely used for various <\/span><span style=\"font-weight: 400;\">types of Machine Learning<\/span><span style=\"font-weight: 400;\">, neural network modules, and deep learning. This Python library supports the backends of both Theano and TensorFlow, making it a decent choice.\u00a0<\/span><\/p>\n<h3><b>Features:-<\/b><\/h3>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">An abundance of prelabeled datasets that can be used to import and load directly.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Has a vast number of parameters and integrated layers used for building, configuring, training, and evaluating neural networks.<\/span><\/li>\n<\/ul>\n<h3><b>Applications<\/b><\/h3>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Extensive creation of predictions\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Easy extraction of characteristics<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Image classification<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Natural language processing\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Time-series analysis<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Speech and audio recognition<\/span><\/li>\n<\/ul>\n<h3><strong>Matplotlib<\/strong><\/h3>\n<p><span style=\"font-weight: 400;\">Matplotlib's visualisations are both powerful and elegant. As a plotting library for Python, it has vast community support on GitHub with over 26,000 comments and over 700 developers. It is widely used for data visualisation because it helps generate graphs and plots. It also has an object-oriented API for embedding such graphs into applications.\u00a0<\/span><\/p>\n<h3><b>Features:-\u00a0<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">Can be used as a MATLAB substitute<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Supports dozens of backends and output types, and can be used regardless of which operating system or output format is preferred.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Pandas may be used as MATLAB API wrappers to control MATLAB like a cleaner.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Low memory utilisation<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Enhanced runtime performance<\/span><\/li>\n<\/ul>\n<h3><b>Applications:-<\/b><\/h3>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Correlation evaluation of variables<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Display the models' 95% confidence intervals.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Outlier detection\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Visualise data distribution to acquire fast insights.<\/span><\/li>\n<\/ul>\n<p><strong>Conclusion<\/strong><\/p>\n<p><span style=\"font-weight: 400;\">To summarise, Python's vast ecosystem of libraries covers a wide range of use cases, ranging from data analysis and <\/span><span style=\"font-weight: 400;\">data visualisation<\/span><span style=\"font-weight: 400;\"> to ML and web development. With these libraries, developers have the ease of simply adding significant functionalities to their apps rather than implementing them from scratch.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Having in-depth knowledge of Python and its libraries is key to becoming an expert in this field. To learn more about Python libraries and their uses, you can consider joining a professional course. If you are looking for a reliable online program, you can join the course offered by Imarticus Learning. Their top-tier <\/span><a href=\"https:\/\/imarticus.org\/postgraduate-program-in-data-science-analytics\/\"><span style=\"font-weight: 400;\">Postgraduate Program In Data Science And Analytics<\/span><\/a><span style=\"font-weight: 400;\"> will give you the knowledge and skills necessary to move forward in this career field.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Python is considered the most popular programming language used by data scientists on a daily basis. As an object-oriented, high-performance,...<\/p>\n","protected":false},"author":1,"featured_media":243301,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"om_disable_all_campaigns":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[23],"tags":[3229],"pages":[],"coe":[],"class_list":{"0":"post-250574","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-analytics","8":"tag-best-data-analytics-course"},"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v25.0 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Top 5 Python Libraries for Data Science<\/title>\n<meta name=\"description\" content=\"They are simply imported into Python scripts upon installation, enabling programmers to make full use of their capabilities and features.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/imarticus.org\/blog\/top-5-python-libraries-for-data-science\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Top 5 Python Libraries for Data Science\" \/>\n<meta property=\"og:description\" content=\"They are simply imported into Python scripts upon installation, enabling programmers to make full use of their capabilities and features.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/imarticus.org\/blog\/top-5-python-libraries-for-data-science\/\" \/>\n<meta property=\"og:site_name\" content=\"Finance, Tech &amp; 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