<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>ryouze</title><link>https://ryouze.net/</link><description>Recent content on ryouze</description><generator>Hugo</generator><language>en</language><lastBuildDate>Tue, 12 May 2026 21:15:05 +0200</lastBuildDate><atom:link href="https://ryouze.net/index.xml" rel="self" type="application/rss+xml"/><item><title>IPython Cheatsheet: Commands, Magics, and Hidden Features</title><link>https://ryouze.net/posts/ipython-cheatsheet/</link><pubDate>Sun, 24 Aug 2025 14:23:55 +0200</pubDate><guid>https://ryouze.net/posts/ipython-cheatsheet/</guid><description>&lt;p&gt;&lt;img src="https://ryouze.net/images/ipython-cheatsheet.webp" alt="Preview"&gt;&lt;/p&gt;
&lt;h2 id="introduction"&gt;Introduction&lt;/h2&gt;
&lt;p&gt;IPython began in 2001 as an enhanced interactive Python shell with tab completion, introspection, and inline help. Over time, it grew into the project that created the famous web-based &lt;em&gt;notebook&lt;/em&gt; interface. In 2014-2015, that notebook component was &lt;a href="https://blog.jupyter.org/the-big-split-9d7b88a031a7"&gt;split into Jupyter&lt;/a&gt;, which expanded support to many languages through kernels. Today, IPython continues as the Python kernel for Jupyter and as a standalone REPL.&lt;/p&gt;
&lt;p&gt;This cheatsheet collects useful IPython commands and features, based on &lt;a href="https://www.youtube.com/watch?v=S9rgGJYAQ8o"&gt;Sebastian Witowski&amp;rsquo;s talk&lt;/a&gt; &lt;em&gt;IPython can do that?!&lt;/em&gt;, with a few additions of my own.&lt;/p&gt;</description></item><item><title/><link>https://ryouze.net/index-about/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://ryouze.net/index-about/</guid><description>&lt;p&gt;I am a machine learning engineer with over four years of experience in software development.&lt;/p&gt;
&lt;p&gt;I currently work at &lt;a href="https://epr-labs.com"&gt;EPR Labs&lt;/a&gt;, where I develop software and data pipelines for training, evaluating, and deploying predictive and generative ML models in Python.&lt;/p&gt;
&lt;p&gt;Previously, as part of the &lt;a href="https://prodis-opus19.github.io"&gt;PRODIS project&lt;/a&gt;, I developed the first &lt;a href="https://arxiv.org/abs/2404.10112"&gt;phoneme-level GPT model for Polish&lt;/a&gt;, along with CI pipelines for survey processing, GUI QA tools, a batch ASR wrapper, and a web interface for data collection.&lt;/p&gt;</description></item><item><title>Contact</title><link>https://ryouze.net/contact/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://ryouze.net/contact/</guid><description>&lt;p&gt;Feel free to reach out if you have any questions.&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;strong&gt;E-mail:&lt;/strong&gt; &lt;a href="mailto:mirai@ryouze.net"&gt;mirai@ryouze.net&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;GitHub:&lt;/strong&gt; &lt;a href="https://github.com/ryouze"&gt;github.com/ryouze&lt;/a&gt;&lt;/li&gt;
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