{"id":281,"date":"2020-10-12T11:39:19","date_gmt":"2020-10-12T11:39:19","guid":{"rendered":"https:\/\/thenextweb.com\/?p=1322777"},"modified":"2020-10-12T11:39:19","modified_gmt":"2020-10-12T11:39:19","slug":"10-simple-python-tips-to-speed-up-your-data-analysis","status":"publish","type":"post","link":"https:\/\/www.londonchiropracter.com\/?p=281","title":{"rendered":"10 simple Python tips to speed up your data analysis"},"content":{"rendered":"
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A dash of magic<\/h2>\n

Magic commands are a set of convenient functions in Jupyter Notebooks that are designed to solve some of the common problems in standard data analysis. You can see all available magics with the help of %lsmagic<\/code>.<\/p>\n

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<\/i><\/a>List of all available magic functions<\/figcaption><\/figure>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/figure>\n

Magic commands are of two kinds: line magics<\/em>, which are prefixed by a single %<\/code> character and operate on a single line of input, and cell magics<\/em>, which are associated with the double %%<\/code> prefix and operate on multiple lines of input. Magic functions are callable without having to type the initial % if set to 1.<\/p>\n

Let\u2019s look at some of them that might be useful in common data analysis tasks:<\/p>\n