Pandas 2.0: A Game-Changer for Data Scientists?

<p><strong>Due to its extensive functionality and versatility,&nbsp;</strong><code>pandas</code><strong>&nbsp;has secured a place in every data scientist&rsquo;s heart.</strong></p> <p>From data input/output to data cleaning and transformation, it&rsquo;s nearly impossible to think about data manipulation without&nbsp;<code>import pandas as pd</code>,&nbsp;<em>right</em>?</p> <p><em>Now, bear with me:</em>&nbsp;with such a buzz around LLMs over the past months, I have somehow let slide the fact that&nbsp;<code>pandas</code>&nbsp;has just undergone a major release! Yep,&nbsp;<code>pandas 2.0</code>&nbsp;<a href="https://pandas.pydata.org/docs/dev/whatsnew/v2.0.0.html" rel="noopener ugc nofollow" target="_blank">is out and came with guns blazing</a>!</p> <p>Although I wasn&rsquo;t aware of all the hype, the&nbsp;<a href="https://tiny.ydata.ai/dcai-medium" rel="noopener ugc nofollow" target="_blank">Data-Centric AI Community&nbsp;</a>promptly came to the rescue:</p> <p><a href="https://medium.com/towards-data-science/pandas-2-0-a-game-changer-for-data-scientists-3cd281fcc4b4"><strong>Read More</strong></a></p>
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