Technology Tales<p>Polars offers a blazing fast alternative to Pandas with 3-22x performance improvements on common operations. Built in Rust with automatic parallelisation, it uses familiar DataFrame syntax but thinks in expressions rather than columns. Migration can be gradual - start with data loading for immediate wins, then adopt lazy evaluation for full pipeline optimisation. <a href="https://mstdn.social/tags/Polars" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Polars</span></a> <a href="https://mstdn.social/tags/Pandas" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Pandas</span></a> <a href="https://mstdn.social/tags/DataScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DataScience</span></a> <a href="https://mstdn.social/tags/Python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Python</span></a> <a href="https://mstdn.social/tags/Performance" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Performance</span></a> <a href="https://mstdn.social/tags/DataAnalysis" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DataAnalysis</span></a> <a href="https://mstdn.social/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MachineLearning</span></a> <a href="https://mstdn.social/tags/BigData" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>BigData</span></a> <a href="https://www.kdnuggets.com/polars-for-pandas-users-a-blazing-fast-dataframe-alternative" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">kdnuggets.com/polars-for-panda</span><span class="invisible">s-users-a-blazing-fast-dataframe-alternative</span></a></p>
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#dataanalysis
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Sarah Lea<p>Can an agent take over repetitive EDA tasks? I tested it with LangChain (a framework that makes it simple to build agents with LLMs).</p><p>And, yes, it works: The agent can print out descriptive stats, for example.</p><p>Sure, you could do that manually (or faster with pandas). Not revolutionary, but a nice entry point into LangChain.</p><p>Here you find the step-by-step-setup and what you can expect: <br>🎯 Medium: <a href="https://medium.com/towards-artificial-intelligence/from-manual-eda-to-ai-powered-agents-a-hands-on-experiment-with-langchain-ff3ab4efa3a1" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">medium.com/towards-artificial-</span><span class="invisible">intelligence/from-manual-eda-to-ai-powered-agents-a-hands-on-experiment-with-langchain-ff3ab4efa3a1</span></a><br>🤓 Towards Data Science: <a href="https://towardsdatascience.com/langchain-for-eda-build-a-csv-sanity-check-agent-in-python/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">towardsdatascience.com/langcha</span><span class="invisible">in-for-eda-build-a-csv-sanity-check-agent-in-python/</span></a></p><p>Anyone else experimenting with agents for data analysis?</p><p><a href="https://techhub.social/tags/python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>python</span></a> <a href="https://techhub.social/tags/programming" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>programming</span></a> <a href="https://techhub.social/tags/agents" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>agents</span></a> <a href="https://techhub.social/tags/agenticai" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>agenticai</span></a> <a href="https://techhub.social/tags/langchain" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>langchain</span></a> <a href="https://techhub.social/tags/ai" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ai</span></a> <a href="https://techhub.social/tags/ki" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ki</span></a> <a href="https://techhub.social/tags/artificialintelligence" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>artificialintelligence</span></a> <a href="https://techhub.social/tags/datascience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>datascience</span></a> <a href="https://techhub.social/tags/datascientist" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>datascientist</span></a> <a href="https://techhub.social/tags/dataanalysis" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dataanalysis</span></a></p>
InfoQ<p>Hugging Face has released 𝐀𝐈 𝐒𝐡𝐞𝐞𝐭𝐬 - an <a href="https://techhub.social/tags/opensource" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>opensource</span></a> app that lets users 𝐛𝐮𝐢𝐥𝐝, 𝐭𝐫𝐚𝐧𝐬𝐟𝐨𝐫𝐦 & 𝐞𝐧𝐫𝐢𝐜𝐡 𝐝𝐚𝐭𝐚𝐬𝐞𝐭𝐬 using AI models through a spreadsheet-like interface.</p><p>No code needed!</p><p>📖 Read more on <a href="https://techhub.social/tags/InfoQ" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>InfoQ</span></a> 👉 <a href="https://bit.ly/4mryf0J" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">bit.ly/4mryf0J</span><span class="invisible"></span></a> </p><p><a href="https://techhub.social/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> <a href="https://techhub.social/tags/DataAnalysis" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DataAnalysis</span></a></p>
Brendan Halpin<p>I'm putting together notes for novices to do simple data analysis with R and the fact that I'm telling them to "cut and paste this inscrutable block of code at the start of your file" reminds me of nothing so much as when I worked for the ESRI in Dublin in the mid 1980s and we used to run SPSS analyses remotely on UCD's Amdahl by sandwiching our SPSS code (on punch cards) between two decks of IBM Job Control Language cards of which we understood nothing whatsoever. <a href="https://mastodon.social/tags/rlang" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>rlang</span></a> <a href="https://mastodon.social/tags/spss" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>spss</span></a> <a href="https://mastodon.social/tags/dataanalysis" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dataanalysis</span></a></p>
Python Job Support<p>Learn complete SQL in Telugu-From basics to master <a href="https://mastodon.social/tags/sql" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>sql</span></a> <a href="https://mastodon.social/tags/dataanalysis" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dataanalysis</span></a> <a href="https://mastodon.social/tags/freshers" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>freshers</span></a>(link in description)</p><p>To enroll in Udemy SQL course - source</p><p><a href="https://quadexcel.com/wp/learn-complete-sql-in-telugu-from-basics-to-master-sql-dataanalysis-fresherslink-in-description/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">quadexcel.com/wp/learn-complet</span><span class="invisible">e-sql-in-telugu-from-basics-to-master-sql-dataanalysis-fresherslink-in-description/</span></a></p>
LabPlot<p><a href="https://floss.social/tags/LabPlot" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LabPlot</span></a> Tutorial: Professional Data Analysis Made Simple by Atarion Studios:</p><p>➡️ <a href="https://www.youtube.com/watch?v=4mCvuO9DYyE" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="">youtube.com/watch?v=4mCvuO9DYyE</span><span class="invisible"></span></a></p><p><a href="https://floss.social/tags/LabPlot" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LabPlot</span></a> <a href="https://floss.social/tags/OpenSource" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>OpenSource</span></a> <a href="https://floss.social/tags/FLOSS" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>FLOSS</span></a> <a href="https://floss.social/tags/FOSS" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>FOSS</span></a> <a href="https://floss.social/tags/FreeSoftware" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>FreeSoftware</span></a> <a href="https://floss.social/tags/DataAnalysis" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DataAnalysis</span></a> <a href="https://floss.social/tags/DataVizualization" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DataVizualization</span></a> <a href="https://floss.social/tags/Matlab" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Matlab</span></a> <a href="https://floss.social/tags/OriginProAlternative" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>OriginProAlternative</span></a></p>
AI數字分析領航者 :mastodon: AI底層數據建模<p>從檢定發現美國失業率是廣義極值分配特性。同時，Gumbel,type I有機率密度函數，真實告訴你美國失業率的機率模型，而不是出一張圖代表存在機率模型。</p><p>以上這些方法都是超越傳統AI的數據分析方法，真正從數據本質出發打造精確統計模型，解決通用模型無法捕捉真實數據規律的難題，通過自動化建模過程揭示隱藏的數學規律。</p><p>你學的是落在哪種層次呢？</p><p>直線建模能做到，當然非線性的人工智慧自動化建模同樣能做到。數據規律的數學化、自動化(更新+建模+模擬)、強大而直觀的統計分析工具集成，統計學習達成。</p><p>其中一種非線性建模：<a href="https://x.com/meiyulee357/status/1963281302423241168" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">x.com/meiyulee357/status/19632</span><span class="invisible">81302423241168</span></a></p><p><span class="h-card" translate="no"><a href="https://a.gup.pe/u/academicchatter" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>academicchatter</span></a></span> <span class="h-card" translate="no"><a href="https://a.gup.pe/u/econometrics" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>econometrics</span></a></span> <span class="h-card" translate="no"><a href="https://ovo.st/club/ida" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>ida</span></a></span> </p><p> <a href="https://mastodon.social/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> <a href="https://mastodon.social/tags/%E6%95%B8%E6%93%9A%E5%88%86%E6%9E%90" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>數據分析</span></a> <a href="https://mastodon.social/tags/%E5%A4%B1%E6%A5%AD" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>失業</span></a> <a href="https://mastodon.social/tags/%E7%BE%8E%E5%9C%8B" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>美國</span></a> <a href="https://mastodon.social/tags/%E7%B6%93%E6%BF%9F" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>經濟</span></a> <a href="https://mastodon.social/tags/%E8%A8%88%E9%87%8F%E7%B6%93%E6%BF%9F" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>計量經濟</span></a> <a href="https://mastodon.social/tags/modelling" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>modelling</span></a> <a href="https://mastodon.social/tags/econometrics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>econometrics</span></a> <a href="https://mastodon.social/tags/unemployment" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>unemployment</span></a> <a href="https://mastodon.social/tags/Statistics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Statistics</span></a> <a href="https://mastodon.social/tags/USA" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>USA</span></a> <a href="https://mastodon.social/tags/dataanalysis" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dataanalysis</span></a></p>
Python Job Support<p><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/ai" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ai</span></a> <a href="https://mastodon.social/tags/dataengineering" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dataengineering</span></a> <a href="https://mastodon.social/tags/datascience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>datascience</span></a> <a href="https://mastodon.social/tags/machinelearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>machinelearning</span></a> <a href="https://mastodon.social/tags/education" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>education</span></a> <a href="https://mastodon.social/tags/dataanalysis" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dataanalysis</span></a> <a href="https://mastodon.social/tags/data" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>data</span></a></p><p>source</p><p><a href="https://quadexcel.com/wp/pandas-python-ai-dataengineering-datascience-machinelearning-education-dataanalysis-data/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">quadexcel.com/wp/pandas-python</span><span class="invisible">-ai-dataengineering-datascience-machinelearning-education-dataanalysis-data/</span></a></p>
LabPlot<p>We have just added to the development version of <a href="https://floss.social/tags/LabPlot" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LabPlot</span></a> the ability to import multiple files from a single directory at once. It is now also possible to create folders and workbooks as destinations for the spreadsheets.<br>➡️ <a href="https://invent.kde.org/education/labplot/-/merge_requests/766" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">invent.kde.org/education/labpl</span><span class="invisible">ot/-/merge_requests/766</span></a></p><p>You can check out all the new upcoming features here:<br>➡️ <a href="https://discuss.kde.org/t/labplot-post-v2-12-new-features-and-development-news/35074" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">discuss.kde.org/t/labplot-post</span><span class="invisible">-v2-12-new-features-and-development-news/35074</span></a></p><p><a href="https://floss.social/tags/FLOSS" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>FLOSS</span></a> <a href="https://floss.social/tags/FOSS" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>FOSS</span></a> <a href="https://floss.social/tags/OpenSource" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>OpenSource</span></a> <a href="https://floss.social/tags/FreeSoftware" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>FreeSoftware</span></a> <a href="https://floss.social/tags/DataAnalysis" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DataAnalysis</span></a> <a href="https://floss.social/tags/DataViz" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DataViz</span></a> <a href="https://floss.social/tags/Science" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Science</span></a> <a href="https://floss.social/tags/Statistics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Statistics</span></a> <a href="https://floss.social/tags/Research" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Research</span></a> <a href="https://floss.social/tags/NLNet" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NLNet</span></a> <a href="https://floss.social/tags/KDE" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>KDE</span></a></p>
Begasus<p>As promised, after releasing gear 25.08 for KDE on Haiku I needed to rebuild LabPlot, with upstream releasing a bugfix it's now updated to the latest release 2.12.1 for Haiku.</p><p><a href="https://labplot.org/2025/08/18/labplot-2-12-1-released/?utm_source=atom_feed" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">labplot.org/2025/08/18/labplot</span><span class="invisible">-2-12-1-released/?utm_source=atom_feed</span></a></p><p><a href="https://mastodon-belgium.be/tags/HaikuOS" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>HaikuOS</span></a> <a href="https://mastodon-belgium.be/tags/haikuports" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>haikuports</span></a> <a href="https://mastodon-belgium.be/tags/LabPlot" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LabPlot</span></a> <a href="https://mastodon-belgium.be/tags/KDE" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>KDE</span></a> <a href="https://mastodon-belgium.be/tags/FLOSS" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>FLOSS</span></a> <a href="https://mastodon-belgium.be/tags/FOSS" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>FOSS</span></a> <a href="https://mastodon-belgium.be/tags/OpenSource" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>OpenSource</span></a> <a href="https://mastodon-belgium.be/tags/DataAnalysis" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DataAnalysis</span></a> <a href="https://mastodon-belgium.be/tags/DataViz" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DataViz</span></a></p>
Hacker News<p>Everything Is Correlated</p><p><a href="https://gwern.net/everything" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">gwern.net/everything</span><span class="invisible"></span></a></p><p><a href="https://mastodon.social/tags/HackerNews" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>HackerNews</span></a> <a href="https://mastodon.social/tags/EverythingIsCorrelated" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>EverythingIsCorrelated</span></a> <a href="https://mastodon.social/tags/Correlation" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Correlation</span></a> <a href="https://mastodon.social/tags/DataAnalysis" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DataAnalysis</span></a> <a href="https://mastodon.social/tags/Insights" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Insights</span></a> <a href="https://mastodon.social/tags/HackerNews" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>HackerNews</span></a></p>
Bytes Europe<p>My Most Valuable Lesson as an Aspiring Data Analyst <a href="https://www.byteseu.com/1306084/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="">byteseu.com/1306084/</span><span class="invisible"></span></a> <a href="https://pubeurope.com/tags/CareerAdvice" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>CareerAdvice</span></a> <a href="https://pubeurope.com/tags/collaboration" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>collaboration</span></a> <a href="https://pubeurope.com/tags/DataAnalysis" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DataAnalysis</span></a> <a href="https://pubeurope.com/tags/DataStorytelling" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DataStorytelling</span></a> <a href="https://pubeurope.com/tags/productivity" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>productivity</span></a> <a href="https://pubeurope.com/tags/Science" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Science</span></a></p>
Timothy Shortell<p>My university switched to Brightspace as the content management software for our classes. I just finished creating the site for my course in data analysis & visualization. It was pretty easy to pick up the basics of course content creation and structure. I had everything for the course in a Google doc and just copied parts over to the appropriate widgets.<br><a href="https://sciences.social/tags/HigherEd" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>HigherEd</span></a> <a href="https://sciences.social/tags/Python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Python</span></a> <a href="https://sciences.social/tags/DataAnalysis" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DataAnalysis</span></a> <a href="https://sciences.social/tags/DataViz" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DataViz</span></a></p>
LabPlot<p>We’re announcing the 2.12.1 minor patch release of <a href="https://floss.social/tags/LabPlot" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LabPlot</span></a> with small improvements and bug fixes. :boost_love: 🚀 </p><p><a href="https://labplot.org/2025/08/18/labplot-2-12-1-released/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">labplot.org/2025/08/18/labplot</span><span class="invisible">-2-12-1-released/</span></a></p><p>We recommend everybody update to this patch release which is available from our download page:</p><p><a href="https://labplot.org/download/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">labplot.org/download/</span><span class="invisible"></span></a></p><p>New features and enhancements are coming in the next major release. Stay tuned!</p><p><a href="https://floss.social/tags/FLOSS" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>FLOSS</span></a> <a href="https://floss.social/tags/FOSS" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>FOSS</span></a> <a href="https://floss.social/tags/OpenSource" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>OpenSource</span></a> <a href="https://floss.social/tags/DataAnalysis" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DataAnalysis</span></a> <a href="https://floss.social/tags/DataViz" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DataViz</span></a> <a href="https://floss.social/tags/Science" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Science</span></a> <a href="https://floss.social/tags/Statistics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Statistics</span></a> <a href="https://floss.social/tags/Research" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Research</span></a> <a href="https://floss.social/tags/NLNet" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NLNet</span></a> </p><p><span class="h-card" translate="no"><a href="https://lemmy.kde.social/u/labplot" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>labplot@lemmy.kde.social</span></a></span> <span class="h-card" translate="no"><a href="https://lemmy.ml/c/opensource" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>opensource</span></a></span> <span class="h-card" translate="no"><a href="https://mas.to/@alternativeto" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>alternativeto</span></a></span> <span class="h-card" translate="no"><a href="https://floss.social/@omgubuntu" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>omgubuntu</span></a></span> <span class="h-card" translate="no"><a href="https://floss.social/@9to5linux" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>9to5linux</span></a></span> <span class="h-card" translate="no"><a href="https://mastodon.xyz/@NGIZero" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>NGIZero</span></a></span></p>
Python Job Support<p>DON’T MAKE THESE MISTAKES! <a href="https://mastodon.social/tags/leadership" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>leadership</span></a> <a href="https://mastodon.social/tags/startup" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>startup</span></a> <a href="https://mastodon.social/tags/dataanalysis" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dataanalysis</span></a> <a href="https://mastodon.social/tags/dataculture" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dataculture</span></a> <a href="https://mastodon.social/tags/data" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>data</span></a> <a href="https://mastodon.social/tags/datascience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>datascience</span></a></p><p>Eric Weber, Head of Data @ Grammarly shares insights into common mistakes data leaders make. source</p><p><a href="https://quadexcel.com/wp/dont-make-these-mistakes-leadership-startup-dataanalysis-dataculture-data-datascience/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">quadexcel.com/wp/dont-make-the</span><span class="invisible">se-mistakes-leadership-startup-dataanalysis-dataculture-data-datascience/</span></a></p>
ResearchBuzz: Firehose<p>Canada’s National Observer: Canadian researchers pitch in to help rescue US data. “In recent months, the US government has cut research budgets and pushed science to the sidelines, removing more than 8,000 web pages and 3,000 datasets from federal websites…. In response, research teams in different countries have begun coordinating efforts to back up data, share storage platforms, and […]</p><p><a href="https://rbfirehose.com/2025/08/16/canadas-national-observer-canadian-researchers-pitch-in-to-help-rescue-us-data/" class="" rel="nofollow noopener" target="_blank">https://rbfirehose.com/2025/08/16/canadas-national-observer-canadian-researchers-pitch-in-to-help-rescue-us-data/</a></p>
Miguel Afonso Caetano<p>"So Palantir has a couple of different products, but its two main flagship products are these things called Foundry on one hand, and then Gotham on the other. Foundry is more oriented toward private enterprise corporations, that type of customer. So think like Walmart or something. And then the other one is Gotham, that's more oriented toward law enforcement, government agencies, places that are actually dealing with case information, things about actual people, trying to figure out relationships between people, that kind of work.</p><p>On the other hand, Foundry is more being used to just make regular everyday business practices more efficient. So, whereas a customer might use Foundry to, say, instead of having to completely redo their IT systems because their company is like 60 years old and they have a combination of really old code and then really new software, and they can't figure out how to just make it all flow together, they don't actually have to go in and fix it. Foundry just sits on top of everything and allows them to get the insights that they need to without actually fixing any of the stuff that's going on underneath. It's like a technical bandaid in that sense.</p><p>And then Gotham, similarly, it is sitting on top of systems that law enforcement and a government agency might already have. The difference is that it's working with case information, it might work through information from a social media company. So, if a police department asks for everything associated with someone's Facebook profile, it would ingest all of that. And the whole idea is that you can map the relationships between people.</p><p>So, police departments have used this to try and map out alleged gang affiliations. They can also extract things like whether someone has a tattoo, which is information that police might have if they have a booking record on somebody." </p><p><a href="https://www.wired.com/story/uncanny-valley-podcast-palantir-most-mysterious-company-silicon-valley/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">wired.com/story/uncanny-valley</span><span class="invisible">-podcast-palantir-most-mysterious-company-silicon-valley/</span></a></p><p><a href="https://tldr.nettime.org/tags/USA" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>USA</span></a> <a href="https://tldr.nettime.org/tags/Palantir" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Palantir</span></a> <a href="https://tldr.nettime.org/tags/BigTech" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>BigTech</span></a> <a href="https://tldr.nettime.org/tags/Gotham" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Gotham</span></a> <a href="https://tldr.nettime.org/tags/Foundry" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Foundry</span></a> <a href="https://tldr.nettime.org/tags/BigData" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>BigData</span></a> <a href="https://tldr.nettime.org/tags/DataAnalysis" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DataAnalysis</span></a> <a href="https://tldr.nettime.org/tags/SiliconValley" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SiliconValley</span></a></p>
Neurofrontiers<p>I finally had the chance to add a new computational modeling tutorial. Using the Hodgkin-Huxley model previously implemented, I'm talking about how to summarize information from simulated traces, and giving some small insights I've picked up along the way:</p><p><a href="https://neurofrontiers.blog/analyzing-a-virtual-neuron-part-1/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">neurofrontiers.blog/analyzing-</span><span class="invisible">a-virtual-neuron-part-1/</span></a></p><p>Not so sure if anyone has use for it, but I've found it quite cathartic to write down what I wish I knew when I first started learning.</p><p><a href="https://neuromatch.social/tags/neuroscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>neuroscience</span></a> <a href="https://neuromatch.social/tags/ComputationalNeuroscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ComputationalNeuroscience</span></a> <a href="https://neuromatch.social/tags/modeling" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>modeling</span></a> <a href="https://neuromatch.social/tags/data" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>data</span></a> <a href="https://neuromatch.social/tags/DataAnalysis" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DataAnalysis</span></a> <a href="https://neuromatch.social/tags/learning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>learning</span></a> <a href="https://neuromatch.social/tags/blaugust" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>blaugust</span></a> <a href="https://neuromatch.social/tags/blaugust2025" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>blaugust2025</span></a></p>
Europe Says<p><a href="https://www.europesays.com/2329211/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="">europesays.com/2329211/</span><span class="invisible"></span></a> The Essential AI Tools for Business Analysts in 2025 » World Business Outlook <a href="https://pubeurope.com/tags/accuracy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>accuracy</span></a> <a href="https://pubeurope.com/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> <a href="https://pubeurope.com/tags/analytical" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>analytical</span></a> <a href="https://pubeurope.com/tags/benefits" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>benefits</span></a> <a href="https://pubeurope.com/tags/business" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>business</span></a> <a href="https://pubeurope.com/tags/capabilities" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>capabilities</span></a> <a href="https://pubeurope.com/tags/Collaborating" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Collaborating</span></a> <a href="https://pubeurope.com/tags/Data" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Data</span></a> <a href="https://pubeurope.com/tags/DataAnalysis" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DataAnalysis</span></a> <a href="https://pubeurope.com/tags/efficiency" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>efficiency</span></a> <a href="https://pubeurope.com/tags/Governance" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Governance</span></a> <a href="https://pubeurope.com/tags/interpreting" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>interpreting</span></a> <a href="https://pubeurope.com/tags/Management" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Management</span></a> <a href="https://pubeurope.com/tags/Microsoft" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Microsoft</span></a> <a href="https://pubeurope.com/tags/mining" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>mining</span></a> <a href="https://pubeurope.com/tags/Modeling" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Modeling</span></a> <a href="https://pubeurope.com/tags/NLP" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NLP</span></a> <a href="https://pubeurope.com/tags/Platforms" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Platforms</span></a> <a href="https://pubeurope.com/tags/PowerBI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>PowerBI</span></a> <a href="https://pubeurope.com/tags/results" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>results</span></a> <a href="https://pubeurope.com/tags/stakeholders" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>stakeholders</span></a> <a href="https://pubeurope.com/tags/technical" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>technical</span></a> <a href="https://pubeurope.com/tags/tools" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>tools</span></a> <a href="https://pubeurope.com/tags/wbo" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>wbo</span></a> <a href="https://pubeurope.com/tags/WorldBusinessOutlook" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>WorldBusinessOutlook</span></a></p>
1TE.CH ᳇ Tech News<p><a href="https://mastodon.social/tags/TargetGroups" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>TargetGroups</span></a> 🎯 Without effective <a href="https://mastodon.social/tags/targetgrouporientation" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>targetgrouporientation</span></a>, <a href="https://mastodon.social/tags/marketingmeasures" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>marketingmeasures</span></a> are a pure game of chance: and without effective <a href="https://mastodon.social/tags/dataanalysis" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dataanalysis</span></a>, <a href="https://mastodon.social/tags/marketing" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>marketing</span></a> is blind.</p><p><a href="https://mastodon.social/tags/Segmentation" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Segmentation</span></a> 💬 Target groups are analyzed based on age, interests, behavior or location, for example, in order to develop tailored <a href="https://mastodon.social/tags/marketingstrategies" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>marketingstrategies</span></a>.</p><p><a href="https://mastodon.social/tags/Personalization" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Personalization</span></a> 📊 <a href="https://mastodon.social/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> and <a href="https://mastodon.social/tags/analysistools" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>analysistools</span></a> make it possible to provide and communicate personalized content to increase <a href="https://mastodon.social/tags/conversions" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>conversions</span></a>.</p><p>👉 <a href="https://OnlineMarketingStrategy.EU" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">OnlineMarketingStrategy.EU</span><span class="invisible"></span></a><br>👉 <span class="h-card" translate="no"><a href="https://mastodon.world/@marketing" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>marketing</span></a></span> <a href="https://mastodon.social/tags/news" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>news</span></a></p>
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