Pandas 2.0: A Game-Changer for Data Scientists?
<p><strong>Due to its extensive functionality and versatility, </strong><code>pandas</code><strong> has secured a place in every data scientist’s heart.</strong></p>
<p>From data input/output to data cleaning and transformation, it’s nearly impossible to think about data manipulation without <code>import pandas as pd</code>, <em>right</em>?</p>
<p><em>Now, bear with me:</em> with such a buzz around LLMs over the past months, I have somehow let slide the fact that <code>pandas</code> has just undergone a major release! Yep, <code>pandas 2.0</code> <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’t aware of all the hype, the <a href="https://tiny.ydata.ai/dcai-medium" rel="noopener ugc nofollow" target="_blank">Data-Centric AI Community </a>promptly came to the rescue:</p>
<p><a href="https://towardsdatascience.com/pandas-2-0-a-game-changer-for-data-scientists-3cd281fcc4b4"><strong>Visit Now</strong></a></p>