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<rss version="2.0"><channel><description>#python, #rstats, #shiny, #datascience training and consultancy. We help organisations extract the most from their data.</description><link>https://bsky.app/profile/jumpingrivers.com</link><title>@jumpingrivers.com - Jumping Rivers</title><item><link>https://bsky.app/profile/jumpingrivers.com/post/3mj2kgkfg7n2c</link><description>At Jumping Rivers, we’re offering pro bono support to charities, non-profits, and community organisations.&#xA;&#xA;Projects are focused, skills-based, and time-bound (6 to 18 hours), with a clear scope. 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That&#39;s exactly what Reproducible Analytical Pipelines are designed to prevent. 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The better question is which reads more cleanly. &#xA;&#xA;Russ Hyde ran the comparison live, same dataset, both libraries. &#xA;&#xA;Full webinar here: https://youtu.be/YdvObBTb2Eg?si=iWu_g2ceArKA5Smr</description><pubDate>27 Mar 2026 11:21 +0000</pubDate><guid isPermaLink="false">at://did:plc:ndw4o7zvb4nwghvhesildlfw/app.bsky.feed.post/3mhzytrflcs23</guid></item><item><link>https://bsky.app/profile/jumpingrivers.com/post/3mhxmafarqk2k</link><description>New training courses for the rest of 2026 are live and filling up.&#xA;&#xA;24 online courses across July to November covering R, Python, Git, Shiny, SQL, machine learning, Bayesian stats, and more.&#xA;&#xA;Two half days, hands-on, with a certificate.&#xA;&#xA;jumpingrivers.com/training/public</description><pubDate>26 Mar 2026 12:30 +0000</pubDate><guid isPermaLink="false">at://did:plc:ndw4o7zvb4nwghvhesildlfw/app.bsky.feed.post/3mhxmafarqk2k</guid></item><item><link>https://bsky.app/profile/jumpingrivers.com/post/3mhuylgvthk2q</link><description>If AI is getting better at writing code, where does that leave us? 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