<?xml version="1.0" encoding="utf-8" standalone="yes"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
  <channel>
    <title>Python on Werk Space</title>
    <link>/tags/python/</link>
    <description>Recent content in Python on Werk Space</description>
    <generator>Hugo</generator>
    <language>en</language>
    <lastBuildDate>Thu, 06 Aug 2026 14:39:17 +0000</lastBuildDate>
    <atom:link href="/tags/python/index.xml" rel="self" type="application/rss+xml" />
    <item>
      <title>ML Classifier</title>
      <link>/docs/tutorials/ml-classifier/</link>
      <pubDate>Wed, 01 Jun 2022 00:00:00 +0000</pubDate>
      <guid>/docs/tutorials/ml-classifier/</guid>
      <description>&lt;p&gt;This simple classifier is an example of a supervised learning model. This means that it learns from a set of labeled images in order to make predictions on new unlabeled images.&lt;/p&gt;&#xA;&lt;p&gt;The objective of this tutorial is to build a simple image classifier that pulls a rank number of 1, 2, or 3 from a hand sign in a photo. Every step will be covered, including creation of the set of images for learning.&lt;/p&gt;</description>
    </item>
    <item>
      <title>Make dataset</title>
      <link>/docs/tutorials/ml-classifier/make-dataset/</link>
      <pubDate>Thu, 02 Jun 2022 00:00:00 +0000</pubDate>
      <guid>/docs/tutorials/ml-classifier/make-dataset/</guid>
      <description>&lt;p&gt;Making the image dataset is tedious but important. High quality datasets are essential for building a highly performant models. For this tutorial we will use 500 hand sign image files. One hundred for each of rank 1, 2, 3, 4, and 5. Additionally, you will need 100 or more images that are not ranked.&lt;/p&gt;&#xA;&lt;figure class=&#34;card rounded p-2 td-post-card mb-4 mt-4&#34; style=&#34;max-width: 410px&#34;&gt;&#xA;&lt;img class=&#34;card-img-top&#34; src=&#34;/docs/tutorials/ml-classifier/make-dataset/handsigns_hu_90072c6cd23bed5e.png&#34; width=&#34;400&#34; height=&#34;136&#34;&gt;&#xA;&lt;figcaption class=&#34;card-body px-0 pt-2 pb-0&#34;&gt;&#xA;&lt;p class=&#34;card-text&#34;&gt;&#xA;&#xA;&#xA;Example handsigns for 1, 2, and 3.&#xA;&#xA;&lt;/p&gt;</description>
    </item>
    <item>
      <title>Python WSL2</title>
      <link>/docs/development-environment/python/</link>
      <pubDate>Wed, 07 Jan 2026 00:00:00 +0000</pubDate>
      <guid>/docs/development-environment/python/</guid>
      <description>&lt;hr&gt;&#xA;&lt;h1 id=&#34;python-development-on-windows-via-wsl2-ubuntu&#34;&gt;Python Development on Windows via WSL2 (Ubuntu)&lt;/h1&gt;&#xA;&lt;p&gt;This guide outlines the complete setup and workflow for running Python development on Windows using the Windows Subsystem for Linux (WSL). This approach allows for a robust, Linux-based development environment with full GUI support (WSLg) while keeping the Windows host clean.&lt;/p&gt;&#xA;&lt;h2 id=&#34;part-1-initial-setup-one-time-only&#34;&gt;Part 1: Initial Setup (One-Time Only)&lt;/h2&gt;&#xA;&lt;h3 id=&#34;1-install-wsl-and-ubuntu&#34;&gt;1. Install WSL and Ubuntu&lt;/h3&gt;&#xA;&lt;p&gt;If you have not installed WSL yet, open &lt;strong&gt;Command Prompt&lt;/strong&gt; or &lt;strong&gt;PowerShell&lt;/strong&gt; as Administrator and run:&lt;/p&gt;</description>
    </item>
  </channel>
</rss>
