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    <title>PyPI recent updates for symbal</title>
    <link>https://pypi.org/project/symbal/</link>
    <description>Recent updates to the Python Package Index for symbal</description>
    <language>en</language>    <item>
      <title>0.0.69</title>
      <link>https://pypi.org/project/symbal/0.0.69/</link>
      <description>A Python package for batch adaptive sampling with symbolic regression</description>
<author>ajs0201@auburn.edu</author>      <pubDate>Mon, 12 Feb 2024 18:42:42 GMT</pubDate>
    </item>    <item>
      <title>0.0.68</title>
      <link>https://pypi.org/project/symbal/0.0.68/</link>
      <description>A Python package for batch adaptive sampling with symbolic regression</description>
<author>ajs0201@auburn.edu</author>      <pubDate>Thu, 08 Feb 2024 16:59:20 GMT</pubDate>
    </item>    <item>
      <title>0.0.67</title>
      <link>https://pypi.org/project/symbal/0.0.67/</link>
      <description>A Python package for batch adaptive sampling with symbolic regression</description>
<author>ajs0201@auburn.edu</author>      <pubDate>Thu, 08 Feb 2024 16:24:18 GMT</pubDate>
    </item>    <item>
      <title>0.0.66</title>
      <link>https://pypi.org/project/symbal/0.0.66/</link>
      <description>A Python package for batch adaptive sampling with symbolic regression</description>
<author>ajs0201@auburn.edu</author>      <pubDate>Wed, 07 Feb 2024 18:53:43 GMT</pubDate>
    </item>    <item>
      <title>0.0.65</title>
      <link>https://pypi.org/project/symbal/0.0.65/</link>
      <description>A Python package for batch adaptive sampling with symbolic regression</description>
<author>ajs0201@auburn.edu</author>      <pubDate>Tue, 06 Feb 2024 17:55:52 GMT</pubDate>
    </item>    <item>
      <title>0.0.64</title>
      <link>https://pypi.org/project/symbal/0.0.64/</link>
      <description>A Python package for batch adaptive sampling with symbolic regression</description>
<author>ajs0201@auburn.edu</author>      <pubDate>Mon, 05 Feb 2024 22:11:00 GMT</pubDate>
    </item>    <item>
      <title>0.0.63</title>
      <link>https://pypi.org/project/symbal/0.0.63/</link>
      <description>A Python package for batch adaptive sampling with symbolic regression</description>
<author>ajs0201@auburn.edu</author>      <pubDate>Mon, 05 Feb 2024 19:32:26 GMT</pubDate>
    </item>    <item>
      <title>0.0.62</title>
      <link>https://pypi.org/project/symbal/0.0.62/</link>
      <description>A Python package for batch adaptive sampling with symbolic regression</description>
<author>ajs0201@auburn.edu</author>      <pubDate>Mon, 05 Feb 2024 19:21:22 GMT</pubDate>
    </item>    <item>
      <title>0.0.61</title>
      <link>https://pypi.org/project/symbal/0.0.61/</link>
      <description>A Python package for batch adaptive sampling with symbolic regression</description>
<author>ajs0201@auburn.edu</author>      <pubDate>Mon, 05 Feb 2024 19:11:27 GMT</pubDate>
    </item>    <item>
      <title>0.0.60</title>
      <link>https://pypi.org/project/symbal/0.0.60/</link>
      <description>A Python package for batch adaptive sampling with symbolic regression</description>
<author>ajs0201@auburn.edu</author>      <pubDate>Mon, 05 Feb 2024 19:03:23 GMT</pubDate>
    </item>    <item>
      <title>0.0.59</title>
      <link>https://pypi.org/project/symbal/0.0.59/</link>
      <description>A Python package for batch adaptive sampling with symbolic regression</description>
<author>ajs0201@auburn.edu</author>      <pubDate>Fri, 02 Feb 2024 01:55:27 GMT</pubDate>
    </item>    <item>
      <title>0.0.58</title>
      <link>https://pypi.org/project/symbal/0.0.58/</link>
      <description>A Python package for batch adaptive sampling with symbolic regression</description>
<author>ajs0201@auburn.edu</author>      <pubDate>Thu, 01 Feb 2024 22:04:51 GMT</pubDate>
    </item>    <item>
      <title>0.0.57</title>
      <link>https://pypi.org/project/symbal/0.0.57/</link>
      <description>A Python package for batch adaptive sampling with symbolic regression</description>
<author>ajs0201@auburn.edu</author>      <pubDate>Thu, 01 Feb 2024 19:47:29 GMT</pubDate>
    </item>    <item>
      <title>0.0.56</title>
      <link>https://pypi.org/project/symbal/0.0.56/</link>
      <description>A Python package for batch adaptive sampling with symbolic regression</description>
<author>ajs0201@auburn.edu</author>      <pubDate>Mon, 29 Jan 2024 07:04:44 GMT</pubDate>
    </item>    <item>
      <title>0.0.55</title>
      <link>https://pypi.org/project/symbal/0.0.55/</link>
      <description>A Python package for batch adaptive sampling with symbolic regression</description>
<author>ajs0201@auburn.edu</author>      <pubDate>Mon, 29 Jan 2024 06:52:57 GMT</pubDate>
    </item>    <item>
      <title>0.0.54</title>
      <link>https://pypi.org/project/symbal/0.0.54/</link>
      <description>A Python package for batch adaptive sampling with symbolic regression</description>
<author>ajs0201@auburn.edu</author>      <pubDate>Mon, 13 Nov 2023 05:14:20 GMT</pubDate>
    </item>    <item>
      <title>0.0.53</title>
      <link>https://pypi.org/project/symbal/0.0.53/</link>
      <description>A Python package for batch adaptive sampling with symbolic regression</description>
<author>ajs0201@auburn.edu</author>      <pubDate>Mon, 13 Nov 2023 03:03:29 GMT</pubDate>
    </item>    <item>
      <title>0.0.52</title>
      <link>https://pypi.org/project/symbal/0.0.52/</link>
      <description>A Python package for batch adaptive sampling with symbolic regression</description>
<author>ajs0201@auburn.edu</author>      <pubDate>Mon, 06 Nov 2023 16:32:34 GMT</pubDate>
    </item>    <item>
      <title>0.0.51</title>
      <link>https://pypi.org/project/symbal/0.0.51/</link>
      <description>A Python package for batch adaptive sampling with symbolic regression</description>
<author>ajs0201@auburn.edu</author>      <pubDate>Wed, 01 Nov 2023 05:15:40 GMT</pubDate>
    </item>    <item>
      <title>0.0.50</title>
      <link>https://pypi.org/project/symbal/0.0.50/</link>
      <description>A Python package for batch adaptive sampling with symbolic regression</description>
<author>ajs0201@auburn.edu</author>      <pubDate>Tue, 31 Oct 2023 16:49:49 GMT</pubDate>
    </item>    <item>
      <title>0.0.49</title>
      <link>https://pypi.org/project/symbal/0.0.49/</link>
      <description>A Python package for batch adaptive sampling with symbolic regression</description>
<author>ajs0201@auburn.edu</author>      <pubDate>Tue, 31 Oct 2023 16:36:21 GMT</pubDate>
    </item>    <item>
      <title>0.0.48</title>
      <link>https://pypi.org/project/symbal/0.0.48/</link>
      <description>A Python package for batch adaptive sampling with symbolic regression</description>
<author>ajs0201@auburn.edu</author>      <pubDate>Mon, 30 Oct 2023 20:13:27 GMT</pubDate>
    </item>    <item>
      <title>0.0.47</title>
      <link>https://pypi.org/project/symbal/0.0.47/</link>
      <description>A Python package for batch adaptive sampling with symbolic regression</description>
<author>ajs0201@auburn.edu</author>      <pubDate>Mon, 30 Oct 2023 19:52:06 GMT</pubDate>
    </item>    <item>
      <title>0.0.46</title>
      <link>https://pypi.org/project/symbal/0.0.46/</link>
      <description>A Python package for batch adaptive sampling with symbolic regression</description>
<author>ajs0201@auburn.edu</author>      <pubDate>Mon, 30 Oct 2023 19:26:55 GMT</pubDate>
    </item>    <item>
      <title>0.0.45</title>
      <link>https://pypi.org/project/symbal/0.0.45/</link>
      <description>A Python package for batch adaptive sampling with symbolic regression</description>
<author>ajs0201@auburn.edu</author>      <pubDate>Wed, 25 Oct 2023 20:04:40 GMT</pubDate>
    </item>    <item>
      <title>0.0.44</title>
      <link>https://pypi.org/project/symbal/0.0.44/</link>
      <description>A Python package for batch adaptive sampling with symbolic regression</description>
<author>ajs0201@auburn.edu</author>      <pubDate>Wed, 25 Oct 2023 19:32:42 GMT</pubDate>
    </item>    <item>
      <title>0.0.43</title>
      <link>https://pypi.org/project/symbal/0.0.43/</link>
      <description>A Python package for batch adaptive sampling with symbolic regression</description>
<author>ajs0201@auburn.edu</author>      <pubDate>Tue, 24 Oct 2023 16:52:50 GMT</pubDate>
    </item>    <item>
      <title>0.0.42</title>
      <link>https://pypi.org/project/symbal/0.0.42/</link>
      <description>A Python package for batch adaptive sampling with symbolic regression</description>
<author>ajs0201@auburn.edu</author>      <pubDate>Mon, 23 Oct 2023 23:21:34 GMT</pubDate>
    </item>    <item>
      <title>0.0.41</title>
      <link>https://pypi.org/project/symbal/0.0.41/</link>
      <description>A Python package for batch adaptive sampling with symbolic regression</description>
<author>ajs0201@auburn.edu</author>      <pubDate>Mon, 23 Oct 2023 22:36:24 GMT</pubDate>
    </item>    <item>
      <title>0.0.40</title>
      <link>https://pypi.org/project/symbal/0.0.40/</link>
      <description>A Python package for batch adaptive sampling with symbolic regression</description>
<author>ajs0201@auburn.edu</author>      <pubDate>Mon, 23 Oct 2023 22:26:12 GMT</pubDate>
    </item>    <item>
      <title>0.0.39</title>
      <link>https://pypi.org/project/symbal/0.0.39/</link>
      <description>A Python package for batch adaptive sampling with symbolic regression</description>
<author>ajs0201@auburn.edu</author>      <pubDate>Mon, 23 Oct 2023 22:02:54 GMT</pubDate>
    </item>    <item>
      <title>0.0.38</title>
      <link>https://pypi.org/project/symbal/0.0.38/</link>
      <description>A Python package for batch adaptive sampling with symbolic regression</description>
<author>ajs0201@auburn.edu</author>      <pubDate>Mon, 23 Oct 2023 21:59:52 GMT</pubDate>
    </item>    <item>
      <title>0.0.37</title>
      <link>https://pypi.org/project/symbal/0.0.37/</link>
      <description>A Python package for batch adaptive sampling with symbolic regression</description>
<author>ajs0201@auburn.edu</author>      <pubDate>Mon, 23 Oct 2023 21:52:56 GMT</pubDate>
    </item>    <item>
      <title>0.0.36</title>
      <link>https://pypi.org/project/symbal/0.0.36/</link>
      <description>A Python package for batch adaptive sampling with symbolic regression</description>
<author>ajs0201@auburn.edu</author>      <pubDate>Mon, 23 Oct 2023 21:47:19 GMT</pubDate>
    </item>    <item>
      <title>0.0.35</title>
      <link>https://pypi.org/project/symbal/0.0.35/</link>
      <description>A Python package for batch adaptive sampling with symbolic regression</description>
<author>ajs0201@auburn.edu</author>      <pubDate>Mon, 23 Oct 2023 21:32:33 GMT</pubDate>
    </item>    <item>
      <title>0.0.34</title>
      <link>https://pypi.org/project/symbal/0.0.34/</link>
      <description>A Python package for batch adaptive sampling with symbolic regression</description>
<author>ajs0201@auburn.edu</author>      <pubDate>Mon, 16 Oct 2023 03:11:35 GMT</pubDate>
    </item>    <item>
      <title>0.0.33</title>
      <link>https://pypi.org/project/symbal/0.0.33/</link>
      <description>A Python package for batch adaptive sampling with symbolic regression</description>
<author>ajs0201@auburn.edu</author>      <pubDate>Mon, 16 Oct 2023 02:42:22 GMT</pubDate>
    </item>    <item>
      <title>0.0.31</title>
      <link>https://pypi.org/project/symbal/0.0.31/</link>
      <description>A Python package for batch adaptive sampling with symbolic regression</description>
<author>ajs0201@auburn.edu</author>      <pubDate>Mon, 09 Oct 2023 23:26:51 GMT</pubDate>
    </item>    <item>
      <title>0.0.30</title>
      <link>https://pypi.org/project/symbal/0.0.30/</link>
      <description>A Python package for batch adaptive sampling with symbolic regression</description>
<author>ajs0201@auburn.edu</author>      <pubDate>Mon, 09 Oct 2023 05:11:04 GMT</pubDate>
    </item>    <item>
      <title>0.0.29</title>
      <link>https://pypi.org/project/symbal/0.0.29/</link>
      <description>A Python package for batch adaptive sampling with symbolic regression</description>
<author>ajs0201@auburn.edu</author>      <pubDate>Mon, 09 Oct 2023 03:15:33 GMT</pubDate>
    </item>  </channel>
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