<?xml version="1.0" encoding="utf-8" standalone="yes"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
  <channel>
    <title>Databytes</title>
    <link>https://dailydatabytes.com/</link>
    <description>Recent content on Databytes</description>
    <generator>Hugo -- gohugo.io</generator>
    <language>en-us</language>
    <copyright>© Jon-Cody Sokoll</copyright>
    <lastBuildDate>Wed, 03 Jun 2020 21:37:58 +0530</lastBuildDate>
    
	<atom:link href="https://dailydatabytes.com/index.xml" rel="self" type="application/rss+xml" />
    
    
    <item>
      <title>Local Env Refresh | Poetry p3</title>
      <link>https://dailydatabytes.com/posts/post-4/</link>
      <pubDate>Sun, 26 Mar 2023 00:00:00 +0000</pubDate>
      
      <guid>https://dailydatabytes.com/posts/post-4/</guid>
      <description>Local Env Refresh | Poetry p4 SSL Error Resolution In my previous post, I encounter an SSL error trying to install poetry with Python 3.10. After trying a couple things, the fist Stack Overflow (SO) article I encountered gave a solution that worked well:
ln -s /etc/ssl /usr/local/etc/openssl@1.1 from a response by Guss
Summary (of my understanding): my new pyenv python version was missing a link to my client side SSL certs.</description>
    </item>
    
    <item>
      <title>Local Env Refresh | Poetry p2</title>
      <link>https://dailydatabytes.com/posts/post-3/</link>
      <pubDate>Wed, 22 Mar 2023 00:00:00 +0000</pubDate>
      
      <guid>https://dailydatabytes.com/posts/post-3/</guid>
      <description>Poetry Setup p2 Part of Local Python Environment Refresh Series Yesterday, I finished install Pyenv which I needed to manage various Python versions alongside Poetry. I need to finish setting up Pyenv for my Bash environment. I want to try to get to installing poetry and setting up a new project with my dependencies.
Okay - the bash commands on this page where just copy paste. Pyenv now runs. I was able to copy paste and run, because my configuration for my usecase is identical to the default instillation.</description>
    </item>
    
    <item>
      <title>Local Env Refresh | Poetry</title>
      <link>https://dailydatabytes.com/posts/post-2/</link>
      <pubDate>Tue, 21 Mar 2023 00:00:00 +0000</pubDate>
      
      <guid>https://dailydatabytes.com/posts/post-2/</guid>
      <description>Poetry Setup Part of Local Python Environment Refresh Series Today, I&amp;rsquo;m going to attempt using Poetry on a new project. The project will be simple TensorFlow MLP which is trained using randomly generated data. My plan is also to incorporate a new dependency called Hydra. I want to be able to run my model from the command line with various configurations of the both the data and model.
Here&amp;rsquo;s what I&amp;rsquo;m looking to accomplish right now:</description>
    </item>
    
    <item>
      <title>Local Python Environment Refresh</title>
      <link>https://dailydatabytes.com/posts/post-1/</link>
      <pubDate>Sun, 19 Mar 2023 00:00:00 +0000</pubDate>
      
      <guid>https://dailydatabytes.com/posts/post-1/</guid>
      <description>Local Python Environment Refresh Series For years, I&amp;rsquo;ve been a conda user. My first introduction to Python was thru the now defunct Enthought Canopy distribution circa 2013/14. At that time in 2013, Anaconda was nascient. As a beginner, there was more widely available directions on how to install and use Enthought&amp;rsquo;s distribution.
After a brief personal and professional foray into R in 2014, I came back to find a considerably more mature Anaconda distribution.</description>
    </item>
    
    <item>
      <title>About</title>
      <link>https://dailydatabytes.com/about/</link>
      <pubDate>Wed, 03 Jun 2020 21:37:58 +0530</pubDate>
      
      <guid>https://dailydatabytes.com/about/</guid>
      <description>Jon-Cody Sokoll leads Lockheed Martin’s AI Community of Practice. He helps build community, advocates for AI, and cultivates AI talent. Prior to his role at Lockheed Martin, Jon-Cody developed extensive experience in management consulting, teaching Machine Learning, and social science research. He earned his BA from Rhodes College in International Studies and Economics. His early career experiences with Python and economics research introduced him to data science and machine learning. Since, he has developed multiple enterprise AI/ML talent strategies, led data-driven consulting engagements, and taught over 1,200 hours of Machine Learning courses.</description>
    </item>
    
  </channel>
</rss>