{"id":220,"date":"2019-12-26T23:18:00","date_gmt":"2019-12-26T23:18:00","guid":{"rendered":"https:\/\/zofxare.com\/zofxare\/blog\/2019\/12\/26\/python-tutorial-series-dictionaries\/"},"modified":"2019-12-26T23:18:00","modified_gmt":"2019-12-26T23:18:00","slug":"python-tutorial-series-dictionaries","status":"publish","type":"post","link":"https:\/\/zofxare.com\/zofxare\/blog\/2019\/12\/26\/python-tutorial-series-dictionaries\/","title":{"rendered":"Python Tutorial Series \u2013 Dictionaries"},"content":{"rendered":"<p>Another type of collection that Python provides support for is dictionaries.<\/p>\n<p><strong>Dictionaries<\/strong><\/p>\n<p>Dictionaries are used to store comma separated key, value pairs enclosed in curly brackets, example:<\/p>\n<pre>to_do_dict = {'a':'groceries', 'b':'laundry', 'c':'wash car', 'd':'vacuum'}<\/pre>\n<p>\nDictionaries do not have any order and may be changed.<br \/>\nElements are accessed by using their key value.<br \/>\nFor example this would print the third element value in the dictionary, which is &#8216;wash car&#8217;:<\/p>\n<pre>print(to_do_dict['c'])<\/pre>\n<p>Dictionaries may be looped through by using the in keyword:<\/p>\n<pre>for key in to_do_dict :<\/pre>\n<p>\n&nbsp; &nbsp; print(key)<\/p>\n<p>\nPython provides support for many built in dictionary functions. These functions are as follows:<\/p>\n<p><strong>clear<\/strong> &#8211; Removes all elements from the dictionary. Example: <\/p>\n<pre>to_do_dict.clear()<\/pre>\n<p>\n<strong>fromkeys<\/strong> &#8211; Creates a dictionary with the given keys having the given value. Example: <\/p>\n<pre>to_do_dict.fromkeys('a', 'b', 'c', 1)<\/pre>\n<p>\n<strong>copy<\/strong> &#8211; Returns a copy of the dictionary. Example: <\/p>\n<pre>new_list = to_do_dict.copy()<\/pre>\n<p>\n<strong>pop<\/strong> &#8211; Removes an item from the dictionary with the input index. Example: <\/p>\n<pre>to_do_dict.pop(2)<\/pre>\n<p>Another useful Python method for dictionaries is:<\/p>\n<p><strong>len<\/strong> &#8211; Returns the number of elements in a dictionary. Example: <\/p>\n<pre>num = len(to_do_dict)<\/pre>\n<p><a href=\"https:\/\/amzn.to\/2EimtFd\" rel=\"noopener\" target=\"_blank\">More Python<\/a><\/p>\n<p><iframe frameborder=\"0\" marginheight=\"0\" marginwidth=\"0\" scrolling=\"no\" src=\"\/\/ws-na.amazon-adsystem.com\/widgets\/q?ServiceVersion=20070822&amp;OneJS=1&amp;Operation=GetAdHtml&amp;MarketPlace=US&amp;source=ss&amp;ref=as_ss_li_til&amp;ad_type=product_link&amp;tracking_id=zofxare-20&amp;language=en_US&amp;marketplace=amazon&amp;region=US&amp;placement=1593276036&amp;asins=1593276036&amp;linkId=49e81436e850d4eb917cf05eb7bb46a9&amp;show_border=true&amp;link_opens_in_new_window=true\" style=\"height: 240px; width: 120px;\"><\/iframe><iframe frameborder=\"0\" marginheight=\"0\" marginwidth=\"0\" scrolling=\"no\" src=\"\/\/ws-na.amazon-adsystem.com\/widgets\/q?ServiceVersion=20070822&amp;OneJS=1&amp;Operation=GetAdHtml&amp;MarketPlace=US&amp;source=ss&amp;ref=as_ss_li_til&amp;ad_type=product_link&amp;tracking_id=zofxare-20&amp;language=en_US&amp;marketplace=amazon&amp;region=US&amp;placement=1631595814&amp;asins=1631595814&amp;linkId=ab04bfbaa6f7474875f3b72a0ce3fc64&amp;show_border=true&amp;link_opens_in_new_window=true\" style=\"height: 240px; width: 120px;\"><\/iframe><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Another type of collection that Python provides support for is dictionaries. Dictionaries Dictionaries are used to store comma separated key, value pairs enclosed in curly brackets, example: to_do_dict = {&#8216;a&#8217;:&#8217;groceries&#8217;, &#8216;b&#8217;:&#8217;laundry&#8217;, &#8216;c&#8217;:&#8217;wash car&#8217;, &#8216;d&#8217;:&#8217;vacuum&#8217;} Dictionaries do not have any order and may be changed. Elements are accessed by using their key value. For example this [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"nf_dc_page":"","om_disable_all_campaigns":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[13,343,341],"tags":[],"class_list":["post-220","post","type-post","status-publish","format-standard","hentry","category-python","category-python-tutorials","category-tutorials"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Python Tutorial Series \u2013 Dictionaries - Zofxare Blog Home<\/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:\/\/zofxare.com\/zofxare\/blog\/2019\/12\/26\/python-tutorial-series-dictionaries\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Python Tutorial Series \u2013 Dictionaries - Zofxare Blog Home\" \/>\n<meta property=\"og:description\" content=\"Another type of collection that Python provides support for is dictionaries. Dictionaries Dictionaries are used to store comma separated key, value pairs enclosed in curly brackets, example: to_do_dict = {&#039;a&#039;:&#039;groceries&#039;, &#039;b&#039;:&#039;laundry&#039;, &#039;c&#039;:&#039;wash car&#039;, &#039;d&#039;:&#039;vacuum&#039;} Dictionaries do not have any order and may be changed. Elements are accessed by using their key value. 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