<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title>Bing: Python data analysis libraries</title><link>http://www.bing.com:80/search?q=Python+data+analysis+libraries</link><description>Search results</description><image><url>http://www.bing.com:80/s/a/rsslogo.gif</url><title>Python data analysis libraries</title><link>http://www.bing.com:80/search?q=Python+data+analysis+libraries</link></image><copyright>Copyright © 2026 Microsoft. All rights reserved. These XML results may not be used, reproduced or transmitted in any manner or for any purpose other than rendering Bing results within an RSS aggregator for your personal, non-commercial use. Any other use of these results requires express written permission from Microsoft Corporation. By accessing this web page or using these results in any manner whatsoever, you agree to be bound by the foregoing restrictions.</copyright><item><title>These 5 Python libraries turned me into a better data analyst ... - MSN</title><link>https://www.msn.com/en-us/news/technology/these-5-python-libraries-turned-me-into-a-better-data-analyst-than-excel-ever-could/ar-AA25490e</link><description>While Excel is ubiquitous, I prefer Python for my data analysis. Spreadsheets are great for formatting data, but it's Python that's allowed me to build my own super calculator out of...</description><pubDate>Mon, 08 Jun 2026 03:15:00 GMT</pubDate></item><item><title>Python libraries every data scientist should learn - MSN</title><link>https://www.msn.com/en-ca/technology/data-science/python-libraries-every-data-scientist-should-learn/ar-AA29rlYf</link><description>Understanding which libraries to use is a necessary skill for any data professional. The modern data stack moves fast, and using the right library reduces processing time from hours to seconds.</description><pubDate>Thu, 06 Aug 2026 23:33:00 GMT</pubDate></item><item><title>These 7 Python libraries are useful even if you're not a developer - MSN</title><link>https://www.msn.com/en-us/technology/software/these-7-python-libraries-are-useful-even-if-you-re-not-a-developer/ar-AA26PXgF</link><description>For almost any task you can imagine, there’s a Python library that will help you solve it. This can be daunting at first, since there is so much choice that it’s difficult to know where to...</description><pubDate>Tue, 30 Jun 2026 01:51:00 GMT</pubDate></item><item><title>Why I Prefer Python for Data Analysis - MSN</title><link>https://www.msn.com/en-us/money/technology/why-i-prefer-python-for-data-analysis/ar-AA1Ke8Xp</link><description>Not only does Python come with lots of libraries on its own, an approach it calls "batteries included," but there are many more libraries that I can tap into for data analysis.</description><pubDate>Sat, 09 Aug 2025 23:33:00 GMT</pubDate></item><item><title>Python skills that beat spreadsheets - MSN</title><link>https://www.msn.com/en-us/news/insight/python-skills-that-beat-spreadsheets/gm-29972C07F7</link><description>Python’s libraries like NumPy, pandas, Seaborn, and Pingouin enable advanced statistical operations that spreadsheets can’t match, especially when dealing with millions of rows.</description><pubDate>Tue, 10 Feb 2026 00:34:00 GMT</pubDate></item><item><title>NumPy’s power reshapes Python data analysis - MSN</title><link>https://www.msn.com/en-us/news/insight/numpy-s-power-reshapes-python-data-analysis/gm-57E4A7FF5B</link><description>It provides efficient, multidimensional array structures and a wide range of mathematical functions, making it the standard for numerical data exchange between Python libraries.</description><pubDate>Sat, 31 Jan 2026 19:22:00 GMT</pubDate></item><item><title>I install these 9 Python tools on every new machine - MSN</title><link>https://www.msn.com/en-us/technology/software/i-install-these-9-python-tools-on-every-new-machine/ar-AA1Ris1y</link><description>Pingouin is a useful library for obtaining the results of statistical tests in a user-friendly way. To see the actual numbers behind that regression plot earlier, I can use pingouin's linear ...</description><pubDate>Sun, 26 Jul 2026 02:46:00 GMT</pubDate></item><item><title>Why NumPy is the Foundation of Python Data Analysis - MSN</title><link>https://www.msn.com/en-us/news/technology/why-numpy-is-the-foundation-of-python-data-analysis/ar-AA1OQKPZ</link><description>You may have heard about NumPy and wondered why it seems so essential to data analysis in Python. What makes NumPy seemingly end up everywhere in statistical calculations with Python?</description><pubDate>Fri, 20 Feb 2026 03:07:00 GMT</pubDate></item><item><title>How to Use Libraries in Python to Do More With Less Code - MSN</title><link>https://www.msn.com/en-us/news/technology/how-to-use-libraries-in-python-to-do-more-with-less-code/ar-AA1LCdyk</link><description>There are numerous libraries in Python for tasks such as graphics, game development, and more. My favorite libraries tend to be for data analysis.</description><pubDate>Sun, 03 May 2026 20:54:00 GMT</pubDate></item><item><title>5 Reasons Jupyter Notebooks With Python Are Better Than Excel for Data ...</title><link>https://www.msn.com/en-us/news/technology/5-reasons-jupyter-notebooks-with-python-are-better-than-excel-for-data-analysis/ar-AA1Px8lJ</link><description>While you can do some good data analysis with a spreadsheet like Excel, if you want to take your calculations to the next level, you might try Python in a Jupyter notebook instead.</description><pubDate>Sat, 09 May 2026 22:55:00 GMT</pubDate></item><item><title>5 powerful pandas techniques every Python user should know - MSN</title><link>https://www.msn.com/en-us/technology/data-science/5-powerful-pandas-techniques-every-python-user-should-know/ar-AA1Qz4wn</link><description>pandas is the premier library for data analysis in Python. Here are some advanced things I like to do with pandas DataFrames to take my analysis to the next level.</description><pubDate>Fri, 09 Feb 2024 23:59:00 GMT</pubDate></item></channel></rss>