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    <title>PyPI recent updates for earningspy</title>
    <link>https://pypi.org/project/earningspy/</link>
    <description>Recent updates to the Python Package Index for earningspy</description>
    <language>en</language>    <item>
      <title>0.1.26</title>
      <link>https://pypi.org/project/earningspy/0.1.26/</link>
      <description>Python toolkit for PEAD research and earnings calendar analysis.</description>
<author>alberto.rincones@code4road.com</author>      <pubDate>Mon, 27 Apr 2026 02:36:28 GMT</pubDate>
    </item>    <item>
      <title>0.1.25</title>
      <link>https://pypi.org/project/earningspy/0.1.25/</link>
      <description>Python toolkit for PEAD research and earnings calendar analysis.</description>
<author>alberto.rincones@code4road.com</author>      <pubDate>Mon, 16 Mar 2026 17:25:43 GMT</pubDate>
    </item>    <item>
      <title>0.1.24</title>
      <link>https://pypi.org/project/earningspy/0.1.24/</link>
      <description>Python toolkit for PEAD research and earnings calendar analysis.</description>
<author>alberto.rincones@code4road.com</author>      <pubDate>Tue, 03 Feb 2026 16:42:53 GMT</pubDate>
    </item>    <item>
      <title>0.1.23</title>
      <link>https://pypi.org/project/earningspy/0.1.23/</link>
      <description>Python toolkit for PEAD research and earnings calendar analysis.</description>
<author>alberto.rincones@code4road.com</author>      <pubDate>Wed, 14 Jan 2026 01:03:41 GMT</pubDate>
    </item>    <item>
      <title>0.1.22</title>
      <link>https://pypi.org/project/earningspy/0.1.22/</link>
      <description>Python toolkit for PEAD research and earnings calendar analysis.</description>
<author>alberto.rincones@code4road.com</author>      <pubDate>Mon, 12 Jan 2026 12:40:44 GMT</pubDate>
    </item>    <item>
      <title>0.1.21</title>
      <link>https://pypi.org/project/earningspy/0.1.21/</link>
      <description>Python toolkit for PEAD research and earnings calendar analysis.</description>
<author>alberto.rincones@code4road.com</author>      <pubDate>Sun, 28 Dec 2025 19:14:31 GMT</pubDate>
    </item>    <item>
      <title>0.1.20</title>
      <link>https://pypi.org/project/earningspy/0.1.20/</link>
      <description>Python toolkit for PEAD research and earnings calendar analysis.</description>
<author>alberto.rincones@code4road.com</author>      <pubDate>Fri, 26 Dec 2025 16:50:06 GMT</pubDate>
    </item>    <item>
      <title>0.1.19</title>
      <link>https://pypi.org/project/earningspy/0.1.19/</link>
      <description>Python toolkit for PEAD research and earnings calendar analysis.</description>
<author>alberto.rincones@code4road.com</author>      <pubDate>Fri, 26 Dec 2025 01:05:25 GMT</pubDate>
    </item>    <item>
      <title>0.1.18</title>
      <link>https://pypi.org/project/earningspy/0.1.18/</link>
      <description>Python toolkit for PEAD research and earnings calendar analysis.</description>
<author>alberto.rincones@code4road.com</author>      <pubDate>Thu, 25 Dec 2025 21:27:55 GMT</pubDate>
    </item>    <item>
      <title>0.1.17</title>
      <link>https://pypi.org/project/earningspy/0.1.17/</link>
      <description>Python toolkit for PEAD research and earnings calendar analysis.</description>
<author>alberto.rincones@code4road.com</author>      <pubDate>Fri, 28 Nov 2025 17:20:44 GMT</pubDate>
    </item>    <item>
      <title>0.1.16</title>
      <link>https://pypi.org/project/earningspy/0.1.16/</link>
      <description>Python toolkit for PEAD research and earnings calendar analysis.</description>
<author>alberto.rincones@code4road.com</author>      <pubDate>Sat, 01 Nov 2025 13:33:00 GMT</pubDate>
    </item>    <item>
      <title>0.1.14</title>
      <link>https://pypi.org/project/earningspy/0.1.14/</link>
      <description>Python toolkit for PEAD research and earnings calendar analysis.</description>
<author>alberto.rincones@code4road.com</author>      <pubDate>Sun, 28 Sep 2025 13:32:31 GMT</pubDate>
    </item>    <item>
      <title>0.1.13</title>
      <link>https://pypi.org/project/earningspy/0.1.13/</link>
      <description>Python toolkit for PEAD research and earnings calendar analysis.</description>
<author>alberto.rincones@code4road.com</author>      <pubDate>Sun, 14 Sep 2025 02:12:13 GMT</pubDate>
    </item>    <item>
      <title>0.1.12</title>
      <link>https://pypi.org/project/earningspy/0.1.12/</link>
      <description>Python toolkit for PEAD research and earnings calendar analysis.</description>
<author>alberto.rincones@code4road.com</author>      <pubDate>Sun, 10 Aug 2025 14:35:58 GMT</pubDate>
    </item>    <item>
      <title>0.1.11</title>
      <link>https://pypi.org/project/earningspy/0.1.11/</link>
      <description>Python toolkit for PEAD research and earnings calendar analysis.</description>
<author>alberto.rincones@code4road.com</author>      <pubDate>Sun, 03 Aug 2025 01:43:56 GMT</pubDate>
    </item>    <item>
      <title>0.1.7</title>
      <link>https://pypi.org/project/earningspy/0.1.7/</link>
      <description>Python toolkit for PEAD research and earnings calendar analysis.</description>
<author>alberto.rincones@code4road.com</author>      <pubDate>Sat, 02 Aug 2025 20:17:23 GMT</pubDate>
    </item>    <item>
      <title>0.1.4</title>
      <link>https://pypi.org/project/earningspy/0.1.4/</link>
      <description>Python toolkit for PEAD research and earnings calendar analysis.</description>
<author>alberto.rincones@code4road.com</author>      <pubDate>Sun, 27 Jul 2025 15:48:02 GMT</pubDate>
    </item>    <item>
      <title>0.1.3</title>
      <link>https://pypi.org/project/earningspy/0.1.3/</link>
      <description>Python toolkit for PEAD research and earnings calendar analysis.</description>
<author>alberto.rincones@code4road.com</author>      <pubDate>Sun, 27 Jul 2025 15:34:17 GMT</pubDate>
    </item>    <item>
      <title>0.1.2</title>
      <link>https://pypi.org/project/earningspy/0.1.2/</link>
      <description>Python toolkit for PEAD research and earnings calendar analysis.</description>
<author>alberto.rincones@code4road.com</author>      <pubDate>Sun, 27 Jul 2025 00:02:32 GMT</pubDate>
    </item>    <item>
      <title>0.1.1</title>
      <link>https://pypi.org/project/earningspy/0.1.1/</link>
      <description>Python toolkit for PEAD research and earnings calendar analysis.</description>
<author>alberto.rincones@code4road.com</author>      <pubDate>Sat, 26 Jul 2025 23:40:12 GMT</pubDate>
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