<story><title>A Gentle Visual Intro to Data Analysis in Python Using Pandas</title><url>https://jalammar.github.io/gentle-visual-intro-to-data-analysis-python-pandas/</url></story><parent_chain><item><author>jalammar</author><text>Hello HN, author here. If you&amp;#x27;ve ever wanted to get into data analysis, this is my best attempt at getting you past that first hump. A lot of these concepts are easier than you might think.</text></item></parent_chain><comment><author>qwerty456127</author><text>Thank you very much. I would certainly love to read more and more about Pandas (or anything) written this style and go deeper in the subject.&lt;p&gt;Are you going to write more? Can you (or anybody) recommend where (a book, a YouTube channel, a website or whatever) do I continue from the point where you intro ends? As for now all I use of Pandas is a datetime-indexed array of real numbers + simple vector operations on its columns but I feel like I would like to take a learning&amp;#x2F;career path to becoming a Pandas expert.</text></comment>
<story><title>A Gentle Visual Intro to Data Analysis in Python Using Pandas</title><url>https://jalammar.github.io/gentle-visual-intro-to-data-analysis-python-pandas/</url></story><parent_chain><item><author>jalammar</author><text>Hello HN, author here. If you&amp;#x27;ve ever wanted to get into data analysis, this is my best attempt at getting you past that first hump. A lot of these concepts are easier than you might think.</text></item></parent_chain><comment><author>lesss365</author><text>This is a perfect out-of-tutor-session reference for my novice data analysis pupils. Will be sharing with them later today. Thank you!</text></comment>