{"id":166922,"date":"2023-03-01T11:54:48","date_gmt":"2023-03-01T10:54:48","guid":{"rendered":"https:\/\/datascientest.com\/en\/?p=166922"},"modified":"2023-10-30T18:41:33","modified_gmt":"2023-10-30T17:41:33","slug":"scipy-all-about-the-python-machine-learning-library","status":"publish","type":"post","link":"https:\/\/datascientest.com\/en\/scipy-all-about-the-python-machine-learning-library","title":{"rendered":"SciPy: All about the Python Machine Learning library"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"166922\" class=\"elementor elementor-166922\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-f3c91af e-flex e-con-boxed e-con\" data-id=\"f3c91af\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-ef99e69 elementor-widget elementor-widget-text-editor\" data-id=\"ef99e69\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-widget-text-editor.elementor-drop-cap-view-stacked .elementor-drop-cap{background-color:#69727d;color:#fff}.elementor-widget-text-editor.elementor-drop-cap-view-framed .elementor-drop-cap{color:#69727d;border:3px solid;background-color:transparent}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap{margin-top:8px}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap-letter{width:1em;height:1em}.elementor-widget-text-editor .elementor-drop-cap{float:left;text-align:center;line-height:1;font-size:50px}.elementor-widget-text-editor .elementor-drop-cap-letter{display:inline-block}<\/style>\t\t\t\t<p><span style=\"font-weight: 400;\">The <\/span><b>Python language<\/b><span style=\"font-weight: 400;\"> is widely used in the field of Data Science. Its popularity is notably linked to its various libraries dedicated to data analysis, such as SciPy and Numpy.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-e2b3b37 e-flex e-con-boxed e-con\" data-id=\"e2b3b37\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-4974e63 elementor-widget elementor-widget-heading\" data-id=\"4974e63\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-heading-title{padding:0;margin:0;line-height:1}.elementor-widget-heading .elementor-heading-title[class*=elementor-size-]>a{color:inherit;font-size:inherit;line-height:inherit}.elementor-widget-heading .elementor-heading-title.elementor-size-small{font-size:15px}.elementor-widget-heading .elementor-heading-title.elementor-size-medium{font-size:19px}.elementor-widget-heading .elementor-heading-title.elementor-size-large{font-size:29px}.elementor-widget-heading .elementor-heading-title.elementor-size-xl{font-size:39px}.elementor-widget-heading .elementor-heading-title.elementor-size-xxl{font-size:59px}<\/style><h3 class=\"elementor-heading-title elementor-size-default\">What is SciPy?\n<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1fdf5c2 elementor-widget elementor-widget-text-editor\" data-id=\"1fdf5c2\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">SciPy (<\/span><b>Scientific Python<\/b><span style=\"font-weight: 400;\">) is an open-source library dedicated to complex mathematical calculations or scientific problems. It was created in 2001 by Travis Oliphant, Pearu Peterson, and Eric Jones.<\/span><\/p><p><span style=\"font-weight: 400;\">Native mathematical functions and libraries can be used in science and engineering to solve different types of problems.<\/span><\/p><p><span style=\"font-weight: 400;\">There are also <\/span><b>pre-installed algorithms<\/b><span style=\"font-weight: 400;\"> for optimization, differential equations, integration, interpolation, algebraic equations, statistics and many other use cases.<\/span><\/p><p><span style=\"font-weight: 400;\">SciPy is an <\/span><b>extension of Nympy<\/b><span style=\"font-weight: 400;\"> (Numerical Python), and therefore allows extremely fast and <\/span><b>efficient data processing<\/b><span style=\"font-weight: 400;\">. This library is written in C, C++, Fortran, and <\/span><a href=\"https:\/\/datascientest.com\/en\/python-the-most-popular-programming-language\"><b>Python<\/b><\/a><span style=\"font-weight: 400;\">.<\/span><\/p><p><span style=\"font-weight: 400;\">The high-level commands and classes allow for easy <\/span><a href=\"https:\/\/datascientest.com\/en\/dataviz-definition-objectives-and-uses\"><b>data manipulation and visualization<\/b><\/a><span style=\"font-weight: 400;\">. In addition, SciPy can be integrated with many different environments and has a large collection of sub-packages for different scientific domains.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-dc8dd01 elementor-widget__width-initial elementor-widget elementor-widget-image\" data-id=\"dc8dd01\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-widget-image{text-align:center}.elementor-widget-image a{display:inline-block}.elementor-widget-image a img[src$=\".svg\"]{width:48px}.elementor-widget-image img{vertical-align:middle;display:inline-block}<\/style>\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"768\" height=\"303\" src=\"https:\/\/datascientest.com\/en\/files\/2023\/02\/Numpy-768x303.jpg\" class=\"attachment-medium_large size-medium_large wp-image-166927\" alt=\"Scipy\" srcset=\"https:\/\/datascientest.com\/en\/files\/2023\/02\/Numpy-768x303.jpg 768w, https:\/\/datascientest.com\/en\/files\/2023\/02\/Numpy-300x118.jpg 300w, https:\/\/datascientest.com\/en\/files\/2023\/02\/Numpy.jpg 1024w\" sizes=\"(max-width: 768px) 100vw, 768px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a5539f3 elementor-widget elementor-widget-text-editor\" data-id=\"a5539f3\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">SciPy is used for <\/span><a href=\"https:\/\/datascientest.com\/en\/data-science-definition-issues-and-use-cases\"><b>Data Science<\/b><\/a><span style=\"font-weight: 400;\"> and other engineering fields, as it contains the necessary optimized functions and acts as an extension of Numpy. This tool can be used to solve a wide variety of scientific problems.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a807923 elementor-widget elementor-widget-spacer\" data-id=\"a807923\" data-element_type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-column .elementor-spacer-inner{height:var(--spacer-size)}.e-con{--container-widget-width:100%}.e-con-inner>.elementor-widget-spacer,.e-con>.elementor-widget-spacer{width:var(--container-widget-width,var(--spacer-size));--align-self:var(--container-widget-align-self,initial);--flex-shrink:0}.e-con-inner>.elementor-widget-spacer>.elementor-widget-container,.e-con-inner>.elementor-widget-spacer>.elementor-widget-container>.elementor-spacer,.e-con>.elementor-widget-spacer>.elementor-widget-container,.e-con>.elementor-widget-spacer>.elementor-widget-container>.elementor-spacer{height:100%}.e-con-inner>.elementor-widget-spacer>.elementor-widget-container>.elementor-spacer>.elementor-spacer-inner,.e-con>.elementor-widget-spacer>.elementor-widget-container>.elementor-spacer>.elementor-spacer-inner{height:var(--container-widget-height,var(--spacer-size))}<\/style>\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-07d4dbe e-flex e-con-boxed e-con\" data-id=\"07d4dbe\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-3383759 elementor-widget elementor-widget-heading\" data-id=\"3383759\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">What are the advantages of SciPy?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-9b2e9bc elementor-widget elementor-widget-text-editor\" data-id=\"9b2e9bc\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Thanks to a wide variety of sub-packages, SciPy overcomes the main obstacles of scientific computing. It is the <\/span><b>most used scientific library<\/b><span style=\"font-weight: 400;\"> behind the GNU Scientific Library in C\/C++ or Matlab.<\/span><\/p><p><span style=\"font-weight: 400;\">It is easy to understand and use and offers high performance in computing power. Furthermore, it operates on a NumPy library array.<\/span><\/p><p><span style=\"font-weight: 400;\">Its database routines allow parallel programming. Finally, its <\/span><b>open-source nature<\/b><span style=\"font-weight: 400;\"> makes this tool particularly interesting.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7b7cd89 elementor-widget__width-initial elementor-widget elementor-widget-image\" data-id=\"7b7cd89\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"800\" height=\"316\" src=\"https:\/\/datascientest.com\/en\/files\/2023\/02\/Numpy2_1.jpg\" class=\"attachment-large size-large wp-image-166928\" alt=\"Scipy2\" srcset=\"https:\/\/datascientest.com\/en\/files\/2023\/02\/Numpy2_1.jpg 1024w, https:\/\/datascientest.com\/en\/files\/2023\/02\/Numpy2_1-300x118.jpg 300w, https:\/\/datascientest.com\/en\/files\/2023\/02\/Numpy2_1-768x303.jpg 768w\" sizes=\"(max-width: 800px) 100vw, 800px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b2f08b2 elementor-widget elementor-widget-spacer\" data-id=\"b2f08b2\" data-element_type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-e3c8ba0 e-flex e-con-boxed e-con\" data-id=\"e3c8ba0\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-b5171c2 elementor-widget elementor-widget-heading\" data-id=\"b5171c2\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">SciPy and Machine Learning<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5bfcd61 elementor-widget elementor-widget-text-editor\" data-id=\"5bfcd61\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><a href=\"https:\/\/datascientest.com\/en\/machine-learning-what-is-it-and-why-does-it-change-the-world\"><b>Machine Learning<\/b><\/a><span style=\"font-weight: 400;\"> engineers use SciPy for many use cases. This tool allows us to build and improve algorithms for Machine Learning development.<\/span><\/p><p><span style=\"font-weight: 400;\">Its different modules allow <\/span><b>algorithm optimization<\/b><span style=\"font-weight: 400;\">, integration, linear algebra, or signal processing. This is the main reason for its popularity in Machine Learning projects.<\/span><\/p><p><span style=\"font-weight: 400;\">In addition, SciPy works with other tools like <\/span><b>Matplotlib for data visualization<\/b><span style=\"font-weight: 400;\">. In general, all these tools work together to allow decision-makers to derive insights from data.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-394c0ba elementor-widget elementor-widget-spacer\" data-id=\"394c0ba\" data-element_type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-f8c6153 e-flex e-con-boxed e-con\" data-id=\"f8c6153\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-dda9707 elementor-widget elementor-widget-heading\" data-id=\"dda9707\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">SciPy vs NumPy: what are the differences?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-eed2c39 elementor-widget elementor-widget-text-editor\" data-id=\"eed2c39\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">SciPy and NumPy are essential libraries, offering a wide range of functions or methods in Python. However, there are several differences between them.<\/span><\/p><p><span style=\"font-weight: 400;\">In terms of functions, SciPy offers more detail. It can also perform <\/span><b>complex operations<\/b><span style=\"font-weight: 400;\"> like <\/span><b>numerical algorithms<\/b><span style=\"font-weight: 400;\"> and <\/span><b>algebraic functions<\/b><span style=\"font-weight: 400;\">. Numpy, on the other hand, focuses more on sorting, indexing, and organizing.<\/span><\/p><p><span style=\"font-weight: 400;\">The speed of calculation is faster with NumPy because it is based on the <\/span><b>C language<\/b><span style=\"font-weight: 400;\">. SciPy, on the other hand, is written in Python and therefore delivers less speed but is more functional.<\/span><\/p><p><span style=\"font-weight: 400;\">As a function-based library, SciPy does not exploit the<\/span><b> concept of arrays<\/b><span style=\"font-weight: 400;\">. On the other hand, Numpy allows building multidimensional arrays of objects containing the same type of data.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-8bd7457 elementor-widget elementor-widget-spacer\" data-id=\"8bd7457\" data-element_type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-23ec3db e-flex e-con-boxed e-con\" data-id=\"23ec3db\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-4e0a623 elementor-widget elementor-widget-heading\" data-id=\"4e0a623\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">How to learn how to use Python, Numpy, and SciPy?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-39c44ca elementor-widget elementor-widget-text-editor\" data-id=\"39c44ca\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">The Python language and its libraries are essential tools for Machine Learning. To learn how to use them, you can <\/span><b>choose DataScientest<\/b><span style=\"font-weight: 400;\">.<\/span><\/p><p><span style=\"font-weight: 400;\">Python programming is part of our various <\/span><a href=\"https:\/\/datascientest.com\/en\/data-analyst-course\"><b>Data Analyst<\/b><\/a><span style=\"font-weight: 400;\">, <\/span><a href=\"https:\/\/datascientest.com\/en\/data-scientist-course\"><b>Data Scientist<\/b><\/a><span style=\"font-weight: 400;\">, and <\/span><a href=\"https:\/\/datascientest.com\/en\/data-management-course\"><b>Data Management<\/b> <\/a><span style=\"font-weight: 400;\">training courses. You will discover the fundamentals of Python, and the NumPy and <\/span><a href=\"https:\/\/datascientest.com\/en\/pandas-the-python-library\"><b>Pandas libraries<\/b><\/a><span style=\"font-weight: 400;\">.<\/span><\/p><p><span style=\"font-weight: 400;\">The other modules of our training courses cover Data Visualization, Machine Learning, databases, and Business Intelligence. At the end of the course, you will have all the skills required to become a Data Science professional.<\/span><\/p><p><span style=\"font-weight: 400;\">At the end of the program, students receive a certificate issued by the <\/span><b>Universit\u00e9 Panth\u00e9on Sorbonne<\/b><span style=\"font-weight: 400;\"> or <\/span><b>MINES ParisTech \/ PSL Education<\/b><span style=\"font-weight: 400;\"> in the framework of our partnerships. Among our alumni, 80% have found a job immediately after the training.<\/span><\/p><p><span style=\"font-weight: 400;\">All of our training courses adopt a <\/span><b>Blended Learning approach<\/b><span style=\"font-weight: 400;\"> combining online learning on a coached platform and Masterclass. You can choose between a Continuing Education and an intensive BootCamp mode.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3b6993e elementor-align-center button-principal elementor-widget elementor-widget-button\" data-id=\"3b6993e\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-md\" href=\"https:\/\/datascientest.com\/en\/data-courses\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Discover DataScientest's training courses<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-d7bb0f5 e-flex e-con-boxed e-con\" data-id=\"d7bb0f5\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-3b52980 elementor-widget elementor-widget-html\" data-id=\"3b52980\" data-element_type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<script type=\"application\/ld+json\">\r\n{\r\n  \"@context\": \"https:\/\/schema.org\",\r\n  \"@type\": \"FAQPage\",\r\n  \"mainEntity\": [{\r\n    \"@type\": \"Question\",\r\n    \"name\": \"What is SciPy?\",\r\n    \"acceptedAnswer\": {\r\n      \"@type\": \"Answer\",\r\n      \"text\": \"SciPy (Scientific Python) is an open-source library dedicated to complex mathematical calculations or scientific problems. 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