{"id":31655,"date":"2024-11-01T09:01:22","date_gmt":"2024-11-01T09:01:22","guid":{"rendered":"http:\/\/atmokpo.com\/w\/?p=31655"},"modified":"2024-11-01T12:31:48","modified_gmt":"2024-11-01T12:31:48","slug":"%ed%8c%8c%ec%9d%b4%ec%8d%ac-%ec%9e%90%eb%a3%8c%ed%98%95%ea%b3%bc-%eb%84%98%ed%8c%8c%ec%9d%b4-%eb%b0%b0%ec%97%b4-%ea%b8%b0%ec%b4%88%eb%b6%80%ed%84%b0-%ec%9d%b4%ed%95%b4%ed%95%98%ea%b8%b0-3","status":"publish","type":"post","link":"https:\/\/atmokpo.com\/w\/31655\/","title":{"rendered":"Understanding Python Data Types and NumPy Arrays: From Basics"},"content":{"rendered":"<h2>Understanding Python Data Types and NumPy Arrays: From Basics to Advanced<\/h2>\n<p>Python provides various data types to effectively manage and manipulate data. Additionally, it offers a powerful library called <strong>NumPy<\/strong> for efficient handling of numeric data. In this course, we will explore the basic data types in Python along with NumPy arrays.<\/p>\n<h3>1. Basic Data Types in Python<\/h3>\n<p>Python offers a variety of data types, allowing developers to manipulate data in different ways. Here, we will examine a few commonly used basic data types.<\/p>\n<ul>\n<li><strong>Integer (int)<\/strong>: Stores integer values. For example, <code>a = 10<\/code> stores the integer 10 in the variable <code>a<\/code>.<\/li>\n<li><strong>Floating-Point (float)<\/strong>: Stores real numbers and can include a decimal point. For example, <code>pi = 3.14<\/code> stores 3.14 in the variable <code>pi<\/code>.<\/li>\n<li><strong>String (str)<\/strong>: Stores text data and is enclosed in single (<code>' '<\/code>) or double quotes (<code>\" \"<\/code>). Example: <code>name = 'Alice'<\/code>.<\/li>\n<li><strong>List (list)<\/strong>: A mutable sequence that can store multiple values in order. Example: <code>numbers = [1, 2, 3, 4]<\/code>.<\/li>\n<li><strong>Tuple (tuple)<\/strong>: Similar to a list, but once created, a tuple cannot be modified. Example: <code>point = (10, 20)<\/code>.<\/li>\n<li><strong>Dictionary (dict)<\/strong>: Stores data in key-value pairs. Example: <code>student = {'name': 'John', 'age': 25}<\/code>.<\/li>\n<\/ul>\n<h3>2. NumPy Arrays<\/h3>\n<p><a href=\"https:\/\/numpy.org\/\" target=\"_blank\" rel=\"noopener\">NumPy<\/a> is a Python library that provides high-performance multidimensional array objects and various functions to handle them. It plays an essential role in almost all Python codes for scientific computing and numerical analysis.<\/p>\n<h4>Creating NumPy Arrays<\/h4>\n<pre><code class=\"language-python\">import numpy as np\n\n# Create a 1-dimensional array\narr1 = np.array([1, 2, 3, 4, 5])\nprint(\"1-dimensional array:\", arr1)\n\n# Create a 2-dimensional array\narr2 = np.array([[1, 2, 3], [4, 5, 6]])\nprint(\"2-dimensional array:\\n\", arr2)\n<\/code><\/pre>\n<h4>Basic Array Operations<\/h4>\n<p>NumPy arrays provide convenient mathematical operations.<\/p>\n<pre><code class=\"language-python\"># Operations on array elements\nresult = arr1 + 10\nprint(\"Adding 10 to each element:\", result)\n\n# Operations between arrays\nresult = arr1 * 2\nprint(\"Multiplying each element by 2:\", result)\n<\/code><\/pre>\n<p>NumPy vectorizes these operations, allowing them to be performed quickly over the entire array. This enables much faster processing of large amounts of numeric data compared to Python&#8217;s built-in lists.<\/p>\n<h3>3. Conclusion<\/h3>\n<p>In this course, we introduced the basic data types in Python and NumPy arrays. Basic data types like integers, floating-point numbers, strings, lists, tuples, and dictionaries are useful for storing and manipulating various data. Additionally, we learned how to use NumPy arrays for more efficient processing of numeric data.<\/p>\n<p>Since NumPy plays a crucial role in data science and machine learning, it will be very beneficial to continue learning how to use it. Try to familiarize yourself with different data types and functions by using them directly!<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Understanding Python Data Types and NumPy Arrays: From Basics to Advanced Python provides various data types to effectively manage and manipulate data. Additionally, it offers a powerful library called NumPy for efficient handling of numeric data. In this course, we will explore the basic data types in Python along with NumPy arrays. 1. Basic Data &hellip; <a href=\"https:\/\/atmokpo.com\/w\/31655\/\" class=\"more-link\">\ub354 \ubcf4\uae30<span class=\"screen-reader-text\"> &#8220;Understanding Python Data Types and NumPy Arrays: From Basics&#8221;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[98],"tags":[95],"class_list":["post-31655","post","type-post","status-publish","format-standard","hentry","category--en","tag--en"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.2 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Understanding Python Data Types and NumPy Arrays: From Basics - \ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8<\/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:\/\/atmokpo.com\/w\/31655\/\" \/>\n<meta property=\"og:locale\" content=\"ko_KR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Understanding Python Data Types and NumPy Arrays: From Basics - \ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8\" \/>\n<meta property=\"og:description\" content=\"Understanding Python Data Types and NumPy Arrays: From Basics to Advanced Python provides various data types to effectively manage and manipulate data. Additionally, it offers a powerful library called NumPy for efficient handling of numeric data. In this course, we will explore the basic data types in Python along with NumPy arrays. 1. Basic Data &hellip; \ub354 \ubcf4\uae30 &quot;Understanding Python Data Types and NumPy Arrays: From Basics&quot;\" \/>\n<meta property=\"og:url\" content=\"https:\/\/atmokpo.com\/w\/31655\/\" \/>\n<meta property=\"og:site_name\" content=\"\ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8\" \/>\n<meta property=\"article:published_time\" content=\"2024-11-01T09:01:22+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2024-11-01T12:31:48+00:00\" \/>\n<meta name=\"author\" content=\"root\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@bebubo4\" \/>\n<meta name=\"twitter:site\" content=\"@bebubo4\" \/>\n<meta name=\"twitter:label1\" content=\"\uae00\uc4f4\uc774\" \/>\n\t<meta name=\"twitter:data1\" content=\"root\" \/>\n\t<meta name=\"twitter:label2\" content=\"\uc608\uc0c1 \ub418\ub294 \ud310\ub3c5 \uc2dc\uac04\" \/>\n\t<meta name=\"twitter:data2\" content=\"2\ubd84\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/atmokpo.com\/w\/31655\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/atmokpo.com\/w\/31655\/\"},\"author\":{\"name\":\"root\",\"@id\":\"https:\/\/atmokpo.com\/w\/#\/schema\/person\/91b6b3b138fbba0efb4ae64b1abd81d7\"},\"headline\":\"Understanding Python Data Types and NumPy Arrays: From Basics\",\"datePublished\":\"2024-11-01T09:01:22+00:00\",\"dateModified\":\"2024-11-01T12:31:48+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/atmokpo.com\/w\/31655\/\"},\"wordCount\":338,\"publisher\":{\"@id\":\"https:\/\/atmokpo.com\/w\/#organization\"},\"keywords\":[\"\ud30c\uc774\uc36c\uac15\uc88c\"],\"articleSection\":[\"Python Study\"],\"inLanguage\":\"ko-KR\"},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/atmokpo.com\/w\/31655\/\",\"url\":\"https:\/\/atmokpo.com\/w\/31655\/\",\"name\":\"Understanding Python Data Types and NumPy Arrays: From Basics - \ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8\",\"isPartOf\":{\"@id\":\"https:\/\/atmokpo.com\/w\/#website\"},\"datePublished\":\"2024-11-01T09:01:22+00:00\",\"dateModified\":\"2024-11-01T12:31:48+00:00\",\"breadcrumb\":{\"@id\":\"https:\/\/atmokpo.com\/w\/31655\/#breadcrumb\"},\"inLanguage\":\"ko-KR\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/atmokpo.com\/w\/31655\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/atmokpo.com\/w\/31655\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"\ud648\",\"item\":\"https:\/\/atmokpo.com\/w\/en\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Understanding Python Data Types and NumPy Arrays: From Basics\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/atmokpo.com\/w\/#website\",\"url\":\"https:\/\/atmokpo.com\/w\/\",\"name\":\"\ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8\",\"description\":\"\",\"publisher\":{\"@id\":\"https:\/\/atmokpo.com\/w\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/atmokpo.com\/w\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"ko-KR\"},{\"@type\":\"Organization\",\"@id\":\"https:\/\/atmokpo.com\/w\/#organization\",\"name\":\"\ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8\",\"url\":\"https:\/\/atmokpo.com\/w\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"ko-KR\",\"@id\":\"https:\/\/atmokpo.com\/w\/#\/schema\/logo\/image\/\",\"url\":\"https:\/\/atmokpo.com\/w\/wp-content\/uploads\/2024\/11\/logo.png\",\"contentUrl\":\"https:\/\/atmokpo.com\/w\/wp-content\/uploads\/2024\/11\/logo.png\",\"width\":400,\"height\":400,\"caption\":\"\ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8\"},\"image\":{\"@id\":\"https:\/\/atmokpo.com\/w\/#\/schema\/logo\/image\/\"},\"sameAs\":[\"https:\/\/x.com\/bebubo4\"]},{\"@type\":\"Person\",\"@id\":\"https:\/\/atmokpo.com\/w\/#\/schema\/person\/91b6b3b138fbba0efb4ae64b1abd81d7\",\"name\":\"root\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"ko-KR\",\"@id\":\"https:\/\/atmokpo.com\/w\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/secure.gravatar.com\/avatar\/708197b41fc6435a7ce22d951b25d4a47e9e904270cb1f04682d4f025066f80c?s=96&d=mm&r=g\",\"contentUrl\":\"https:\/\/secure.gravatar.com\/avatar\/708197b41fc6435a7ce22d951b25d4a47e9e904270cb1f04682d4f025066f80c?s=96&d=mm&r=g\",\"caption\":\"root\"},\"sameAs\":[\"http:\/\/atmokpo.com\/w\"],\"url\":\"https:\/\/atmokpo.com\/w\/author\/root\/\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Understanding Python Data Types and NumPy Arrays: From Basics - \ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/atmokpo.com\/w\/31655\/","og_locale":"ko_KR","og_type":"article","og_title":"Understanding Python Data Types and NumPy Arrays: From Basics - \ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8","og_description":"Understanding Python Data Types and NumPy Arrays: From Basics to Advanced Python provides various data types to effectively manage and manipulate data. Additionally, it offers a powerful library called NumPy for efficient handling of numeric data. In this course, we will explore the basic data types in Python along with NumPy arrays. 1. Basic Data &hellip; \ub354 \ubcf4\uae30 \"Understanding Python Data Types and NumPy Arrays: From Basics\"","og_url":"https:\/\/atmokpo.com\/w\/31655\/","og_site_name":"\ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8","article_published_time":"2024-11-01T09:01:22+00:00","article_modified_time":"2024-11-01T12:31:48+00:00","author":"root","twitter_card":"summary_large_image","twitter_creator":"@bebubo4","twitter_site":"@bebubo4","twitter_misc":{"\uae00\uc4f4\uc774":"root","\uc608\uc0c1 \ub418\ub294 \ud310\ub3c5 \uc2dc\uac04":"2\ubd84"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/atmokpo.com\/w\/31655\/#article","isPartOf":{"@id":"https:\/\/atmokpo.com\/w\/31655\/"},"author":{"name":"root","@id":"https:\/\/atmokpo.com\/w\/#\/schema\/person\/91b6b3b138fbba0efb4ae64b1abd81d7"},"headline":"Understanding Python Data Types and NumPy Arrays: From Basics","datePublished":"2024-11-01T09:01:22+00:00","dateModified":"2024-11-01T12:31:48+00:00","mainEntityOfPage":{"@id":"https:\/\/atmokpo.com\/w\/31655\/"},"wordCount":338,"publisher":{"@id":"https:\/\/atmokpo.com\/w\/#organization"},"keywords":["\ud30c\uc774\uc36c\uac15\uc88c"],"articleSection":["Python Study"],"inLanguage":"ko-KR"},{"@type":"WebPage","@id":"https:\/\/atmokpo.com\/w\/31655\/","url":"https:\/\/atmokpo.com\/w\/31655\/","name":"Understanding Python Data Types and NumPy Arrays: From Basics - \ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8","isPartOf":{"@id":"https:\/\/atmokpo.com\/w\/#website"},"datePublished":"2024-11-01T09:01:22+00:00","dateModified":"2024-11-01T12:31:48+00:00","breadcrumb":{"@id":"https:\/\/atmokpo.com\/w\/31655\/#breadcrumb"},"inLanguage":"ko-KR","potentialAction":[{"@type":"ReadAction","target":["https:\/\/atmokpo.com\/w\/31655\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/atmokpo.com\/w\/31655\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"\ud648","item":"https:\/\/atmokpo.com\/w\/en\/"},{"@type":"ListItem","position":2,"name":"Understanding Python Data Types and NumPy Arrays: From Basics"}]},{"@type":"WebSite","@id":"https:\/\/atmokpo.com\/w\/#website","url":"https:\/\/atmokpo.com\/w\/","name":"\ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8","description":"","publisher":{"@id":"https:\/\/atmokpo.com\/w\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/atmokpo.com\/w\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"ko-KR"},{"@type":"Organization","@id":"https:\/\/atmokpo.com\/w\/#organization","name":"\ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8","url":"https:\/\/atmokpo.com\/w\/","logo":{"@type":"ImageObject","inLanguage":"ko-KR","@id":"https:\/\/atmokpo.com\/w\/#\/schema\/logo\/image\/","url":"https:\/\/atmokpo.com\/w\/wp-content\/uploads\/2024\/11\/logo.png","contentUrl":"https:\/\/atmokpo.com\/w\/wp-content\/uploads\/2024\/11\/logo.png","width":400,"height":400,"caption":"\ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8"},"image":{"@id":"https:\/\/atmokpo.com\/w\/#\/schema\/logo\/image\/"},"sameAs":["https:\/\/x.com\/bebubo4"]},{"@type":"Person","@id":"https:\/\/atmokpo.com\/w\/#\/schema\/person\/91b6b3b138fbba0efb4ae64b1abd81d7","name":"root","image":{"@type":"ImageObject","inLanguage":"ko-KR","@id":"https:\/\/atmokpo.com\/w\/#\/schema\/person\/image\/","url":"https:\/\/secure.gravatar.com\/avatar\/708197b41fc6435a7ce22d951b25d4a47e9e904270cb1f04682d4f025066f80c?s=96&d=mm&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/708197b41fc6435a7ce22d951b25d4a47e9e904270cb1f04682d4f025066f80c?s=96&d=mm&r=g","caption":"root"},"sameAs":["http:\/\/atmokpo.com\/w"],"url":"https:\/\/atmokpo.com\/w\/author\/root\/"}]}},"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"jetpack-related-posts":[],"_links":{"self":[{"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/posts\/31655","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/comments?post=31655"}],"version-history":[{"count":2,"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/posts\/31655\/revisions"}],"predecessor-version":[{"id":38061,"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/posts\/31655\/revisions\/38061"}],"wp:attachment":[{"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/media?parent=31655"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/categories?post=31655"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/tags?post=31655"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}