<ul data-eligibleForWebStory="true"><li>The author shares 10 Pythonic tips for data scientists to write more elegant, readable, and faster code.</li><li>Initially, the author's code was verbose and clunky with for loops and temporary variables.</li><li>After learning the Pythonic way, the author found a better approach to coding.</li><li>The tips include real-world DataFrame examples and explanations of why they are important.</li><li>The tips helped the author become faster and more confident in their work.</li><li>The examples are based on a simple DataFrame resembling e-commerce or customer analytics data.</li></ul>

10 Pythonic Tips I Wish I Knew Sooner as a Data Scientist

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