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#pandas

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What song is Tom Listening To?<p>Tom is now listening to Find You<br> <a href="https://open.spotify.com/track/5IzVL3gIya2cbzeZTcvyY7" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">open.spotify.com/track/5IzVL3g</span><span class="invisible">Iya2cbzeZTcvyY7</span></a> </p><p><a href="https://mastodon.social/tags/Pandas" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Pandas</span></a>&amp;People</p>
dotoscat<p><a href="https://mastodon.xyz/tags/python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>python</span></a> <a href="https://mastodon.xyz/tags/pandas" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>pandas</span></a> 🐼 🐼 🐼 🐼 🐼 🐼 🐼 🐼 🐼 🐼 🐼 🐼 🐼 🐼 🐼 🐼 🐼 🐼 🐼 🐼 🐼 🐼 🐼 🐼 🐼 🐼 🐼 🐼 🐼 🐼 🐼</p>
Wordmark<p><a href="https://mas.to/tags/Linux" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Linux</span></a> <a href="https://mas.to/tags/malware" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>malware</span></a> is called <a href="https://mas.to/tags/Koske" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Koske</span></a> partially developed using generative <a href="https://mas.to/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a>. Most interestingly, it hides in... pictures of <a href="https://mas.to/tags/pandas" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>pandas</span></a></p><p> <a href="https://mas.to/tags/JPEG" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>JPEG</span></a> files with <a href="https://mas.to/tags/panda" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>panda</span></a> images are uploaded to a vulnerable server where <a href="https://mas.to/tags/JupyterLab" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>JupyterLab</span></a> is misconfigured. They look like ordinary pictures, but there is malicious code hidden inside them. Not through steganography, as you might think, but through so-called polyglot files. These are files that are both an image and an executable script <a href="https://habr.com/ru/articles/930458/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">habr.com/ru/articles/930458/</span><span class="invisible"></span></a> <a href="https://mas.to/tags/China" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>China</span></a></p>
Bob Carver<p>A bizarre new Linux malware can be found hiding in cute animal photos - That cute panda pic? It's actually a cryptominer <a href="https://www.techradar.com/pro/security/a-damaging-new-linux-malware-is-hiding-in-cute-animal-photos" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">techradar.com/pro/security/a-d</span><span class="invisible">amaging-new-linux-malware-is-hiding-in-cute-animal-photos</span></a><br>That cute panda pic? It's actually a cryptominer <a href="https://infosec.exchange/tags/cybersecurity" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>cybersecurity</span></a> <a href="https://infosec.exchange/tags/Linux" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Linux</span></a> <a href="https://infosec.exchange/tags/malware" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>malware</span></a> <a href="https://infosec.exchange/tags/cuteimages" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>cuteimages</span></a> <a href="https://infosec.exchange/tags/Pandas" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Pandas</span></a> <a href="https://infosec.exchange/tags/cryptominers" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>cryptominers</span></a> <a href="https://infosec.exchange/tags/LLMCoded" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LLMCoded</span></a></p>
Watson Tech World<p>I recently started a GitHub repository to include useful pandas Python code. I hope to post to it nearly every day for a month, and eventually use some of the code to even make an entire video or course on pandas.<br>Below is an example file I've make:<br><a href="https://github.com/sinocelt/useful-pandas-code/blob/main/dataframes-and-series-basics/dataframes-and-series-basics.ipynb" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">github.com/sinocelt/useful-pan</span><span class="invisible">das-code/blob/main/dataframes-and-series-basics/dataframes-and-series-basics.ipynb</span></a><br><a href="https://mastodon.social/tags/pandas" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>pandas</span></a> <a href="https://mastodon.social/tags/Python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Python</span></a> <a href="https://mastodon.social/tags/coding" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>coding</span></a> <a href="https://mastodon.social/tags/Jupyter" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Jupyter</span></a> <a href="https://mastodon.social/tags/JupyterNotebook" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>JupyterNotebook</span></a> <a href="https://mastodon.social/tags/DataScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DataScience</span></a></p>
James C<p>This week, I've was pleasantly surprised by how much speedup I could get by switching out Pandas for Polars when doing sampling.</p><p>The data investigation notebook I'm building has a DataFrame with only two columns of single character data, but is 1M rows long. Polars gave an 8x speed up when sampling 2,000 rows and repeating that 100 times, even including the conversion from a Pandas DataFrame and back again.</p><p>(I tested this with %timeit in iPython - so I'm confident the quality of that measurement was reasonable.)</p><p><a href="https://hachyderm.io/tags/pandas" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>pandas</span></a> <a href="https://hachyderm.io/tags/polars" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>polars</span></a></p>
robrich<p><a href="https://www.analyticsvidhya.com/blog/2021/06/join-the-dataframes-like-sql-tables-in-python-using-pandas/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">analyticsvidhya.com/blog/2021/</span><span class="invisible">06/join-the-dataframes-like-sql-tables-in-python-using-pandas/</span></a> - joining <a href="https://hachyderm.io/tags/data" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>data</span></a> frames in <a href="https://hachyderm.io/tags/Python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Python</span></a> and <a href="https://hachyderm.io/tags/Pandas" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Pandas</span></a>. Nice analogies to <a href="https://hachyderm.io/tags/SQL" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SQL</span></a> Nilabh.</p>
What song is Tom Listening To?<p>Tom is now listening to Find You<br> <a href="https://open.spotify.com/track/5IzVL3gIya2cbzeZTcvyY7" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">open.spotify.com/track/5IzVL3g</span><span class="invisible">Iya2cbzeZTcvyY7</span></a> </p><p><a href="https://mastodon.social/tags/Pandas" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Pandas</span></a>&amp;People</p>
EuroSciPy<p>87/97<br>Circling back to our program details! Our Beginner Tutorial Track is for absolute beginners, covering the fundamentals: intro to <a href="https://fosstodon.org/tags/Python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Python</span></a>, <a href="https://fosstodon.org/tags/NumPy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NumPy</span></a>, <a href="https://fosstodon.org/tags/Pandas" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Pandas</span></a>, <a href="https://fosstodon.org/tags/ScikitLearn" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ScikitLearn</span></a>, and <a href="https://fosstodon.org/tags/DataVisualization" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DataVisualization</span></a>.</p>
GBIF<p>Ever thought about learning new data skills? 👩‍💻</p><p>Through our partnership with DataCamp Adel learned introductory skills in <a href="https://biodiversity.social/tags/Python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Python</span></a>, <a href="https://biodiversity.social/tags/Pandas" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Pandas</span></a> and <a href="https://biodiversity.social/tags/Seaborn" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Seaborn</span></a>. 🎉</p><p>"Using DataCamp, I developed a biodiversity monitoring dashboard that streamlined data collection and reporting. This tool is now being used by my team to track species populations more effectively and make data-driven conservation decisions." 🌏</p><p>Apply for the 2025 programme: 🔗<a href="https://gbif.link/datacampdonates" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">gbif.link/datacampdonates</span><span class="invisible"></span></a></p><p><a href="https://biodiversity.social/tags/DCDonates" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DCDonates</span></a></p>
What song is Tom Listening To?<p>Tom is now listening to Find You<br> <a href="https://open.spotify.com/track/5IzVL3gIya2cbzeZTcvyY7" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">open.spotify.com/track/5IzVL3g</span><span class="invisible">Iya2cbzeZTcvyY7</span></a> </p><p><a href="https://mastodon.social/tags/Pandas" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Pandas</span></a>&amp;People</p>
Devin Berg :OpenEngineering:<p>Anybody have ideas why my bar plot is coming out with multiple vertical lines like this? The plot should look like the second one. But I was trying to fix some other errors and produced new problems instead.</p><p>Code: plot = = data.resample('YE').count().to_period('Y').plot.bar(legend=False, rot=0, grid=True, figsize=(12,6))</p><p><a href="https://scholar.social/tags/Python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Python</span></a> <a href="https://scholar.social/tags/Matplotlib" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Matplotlib</span></a> <a href="https://scholar.social/tags/Pandas" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Pandas</span></a></p>
Julien Maupetit<p>🐍 Note to self: use <a href="https://mamot.fr/tags/DuckDB" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DuckDB</span></a> more often. <a href="https://mamot.fr/tags/Pandas" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Pandas</span></a>' syntax for aggregation is a pain, SQL is cool.</p><p><a href="https://codecut.ai/deep-dive-into-duckdb-data-scientists/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">codecut.ai/deep-dive-into-duck</span><span class="invisible">db-data-scientists/</span></a></p><p><a href="https://mamot.fr/tags/datascience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>datascience</span></a></p>

Работа с данными в DuckDB или не pandas’ом единым сыт DS

В проектах по разработке ML-моделей я регулярно сталкиваюсь с тем, что значительная часть времени уходит не на саму модель, а на приведение данных в нужный формат: очистку, трансформацию, агрегацию. Этот этап требует не только времени, но и вычислительных ресурсов, особенно когда речь идет о больших объемах информации. В этой статье я расскажу о своем небольшом исследовании DuckDB — инструменте, который может значительно упростить и ускорить работу с данными.

habr.com/ru/companies/cinimex/

ХабрРабота с данными в DuckDB или не pandas’ом единым сыт DSПриветствую вас, уважаемые хабровчане. Меня зовут Глеб Дрейман, я аналитик данных в компании «Синимекс». В проектах по разработке ML-моделей я регулярно сталкиваюсь с тем, что значительная часть...

NumPy - SciPy - Pandas (2025-07-06, 6-day workshop)

PRE-REQ
You are expected to have programming experience with Python 3, Pytest, Poetry on GNU/Linux.

FOCUS
Features in the new releases
Key programming abstractions
Coding with Python Generics
DataFrame
Functional approach to writing code
Multi-core Performance benchmarking
Packaging considerations

ENVIRONMENT
GNU/Linux system
NumPy
SciPy
Pandas
Python 3.12+
Pytest
Poetry
Git

Event is free to attend but RSVP is required.

Absolutely safe for students and women to attend. Code of conduct applies.

RSVP Cairo (and Maghreb)
meetup.com/softwarehubcairo/

RSVP Ankara (and Turkmen)
meetup.com/softwarehub

RSVP Riyadh (and Mashreq)
meetup.com/softwarehubriyadh/

All members of the Ummah are cordially invited.

#NumPy
#SciPy
#Pandas
#Python
#Poetry
#Pytest
#DataScience
#DataEngineering
#SoftwareFreedom
#SoftwareFreedomProject
#GNU
#Linux
#Community
#Ummah