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    <title>PyPI recent updates for pyplaces</title>
    <link>https://pypi.org/project/pyplaces/</link>
    <description>Recent updates to the Python Package Index for pyplaces</description>
    <language>en</language>    <item>
      <title>0.4.6</title>
      <link>https://pypi.org/project/pyplaces/0.4.6/</link>
      <description>pyplaces is a Python package meant to streamline the usage of large places datasets, notably Overture Maps and Foursquare Open Places. All of the datasets and past releases can be downloaded to a specific address, place or bounding box. Conventionally, users download the data themselves or use a tool such as DuckDB to download what they need, whereas pyplaces is more integrated, faster, and more precise.</description>
<author>tedbanken@gmail.com</author>      <pubDate>Sun, 26 Oct 2025 21:18:54 GMT</pubDate>
    </item>    <item>
      <title>0.4.5</title>
      <link>https://pypi.org/project/pyplaces/0.4.5/</link>
      <description>pyplaces is a Python package meant to streamline the usage of large places datasets, notably Overture Maps and Foursquare Open Places. All of the datasets and past releases can be downloaded to a specific address, place or bounding box. Conventionally, users download the data themselves or use a tool such as DuckDB to download what they need, whereas pyplaces is more integrated, faster, and more precise.</description>
<author>tedbanken@gmail.com</author>      <pubDate>Thu, 25 Sep 2025 01:41:50 GMT</pubDate>
    </item>    <item>
      <title>0.4.4</title>
      <link>https://pypi.org/project/pyplaces/0.4.4/</link>
      <description>pyplaces is a Python package meant to streamline the usage of large places datasets, notably Overture Maps and Foursquare Open Places. All of the datasets and past releases can be downloaded to a specific address, place or bounding box. Conventionally, users download the data themselves or use a tool such as DuckDB to download what they need, whereas pyplaces is more integrated, faster, and more precise.</description>
<author>tedbanken@gmail.com</author>      <pubDate>Wed, 06 Aug 2025 02:27:19 GMT</pubDate>
    </item>    <item>
      <title>0.4.3</title>
      <link>https://pypi.org/project/pyplaces/0.4.3/</link>
      <description>pyplaces is a Python package meant to streamline the usage of large places datasets, notably Overture Maps and Foursquare Open Places. All of the datasets and past releases can be downloaded to a specific address, place or bounding box. Conventionally, users download the data themselves or use a tool such as DuckDB to download what they need, whereas pyplaces is more integrated, faster, and more precise.</description>
<author>tedbanken@gmail.com</author>      <pubDate>Wed, 06 Aug 2025 01:24:33 GMT</pubDate>
    </item>    <item>
      <title>0.4.2</title>
      <link>https://pypi.org/project/pyplaces/0.4.2/</link>
      <description>pyplaces is a Python package meant to streamline the usage of large places datasets, notably Overture Maps and Foursquare Open Places. All of the datasets and past releases can be downloaded to a specific address, place or bounding box. Conventionally, users download the data themselves or use a tool such as DuckDB to download what they need, whereas pyplaces is more integrated, faster, and more precise.</description>
<author>tedbanken@gmail.com</author>      <pubDate>Tue, 05 Aug 2025 21:48:55 GMT</pubDate>
    </item>    <item>
      <title>0.4.1</title>
      <link>https://pypi.org/project/pyplaces/0.4.1/</link>
      <description>pyplaces is a Python package meant to streamline the usage of large places datasets, notably Overture Maps and Foursquare Open Places. All of the datasets and past releases can be downloaded to a specific address, place or bounding box. Conventionally, users download the data themselves or use a tool such as DuckDB to download what they need, whereas pyplaces is more integrated, faster, and more precise.</description>
<author>tedbanken@gmail.com</author>      <pubDate>Thu, 31 Jul 2025 20:33:31 GMT</pubDate>
    </item>    <item>
      <title>0.4.0</title>
      <link>https://pypi.org/project/pyplaces/0.4.0/</link>
      <description>pyplaces is a Python package meant to streamline the usage of large places datasets, notably Overture Maps and Foursquare Open Places. All of the datasets and past releases can be downloaded to a specific address, place or bounding box. Conventionally, users download the data themselves or use a tool such as DuckDB to download what they need, whereas pyplaces is more integrated, faster, and more precise.</description>
<author>tedbanken@gmail.com</author>      <pubDate>Wed, 30 Jul 2025 02:09:54 GMT</pubDate>
    </item>    <item>
      <title>0.3.3</title>
      <link>https://pypi.org/project/pyplaces/0.3.3/</link>
      <description>pyplaces is a Python package meant to streamline the usage of large places datasets, notably Overture Maps and Foursquare Open Places. All of the datasets and past releases can be downloaded to a specific address, place or bounding box. Conventionally, users download the data themselves or use a tool such as DuckDB to download what they need, whereas pyplaces is more integrated, faster, and more precise.</description>
<author>tedbanken@gmail.com</author>      <pubDate>Mon, 28 Jul 2025 19:07:49 GMT</pubDate>
    </item>    <item>
      <title>0.3.2</title>
      <link>https://pypi.org/project/pyplaces/0.3.2/</link>
      <description>pyplaces is a Python package meant to streamline the usage of large places datasets, notably Overture Maps and Foursquare Open Places. All of the datasets and past releases can be downloaded to a specific address, place or bounding box. Conventionally, users download the data themselves or use a tool such as DuckDB to download what they need, whereas pyplaces is more integrated, faster, and more precise.</description>
<author>tedbanken@gmail.com</author>      <pubDate>Sun, 04 May 2025 19:46:01 GMT</pubDate>
    </item>    <item>
      <title>0.3.1</title>
      <link>https://pypi.org/project/pyplaces/0.3.1/</link>
      <description>pyplaces is a Python package meant to streamline the usage of large places datasets, notably Overture Maps and Foursquare Open Places. All of the datasets and past releases can be downloaded to a specific address, place or bounding box. Conventionally, users download the data themselves or use a tool such as DuckDB to download what they need, whereas pyplaces is more integrated, faster, and more precise.</description>
<author>tedbanken@gmail.com</author>      <pubDate>Fri, 02 May 2025 04:43:48 GMT</pubDate>
    </item>    <item>
      <title>0.3.0</title>
      <link>https://pypi.org/project/pyplaces/0.3.0/</link>
      <description>pyplaces is a Python package meant to streamline the usage of large places datasets, notably Overture Maps and Foursquare Open Places. All of the datasets and past releases can be downloaded to a specific address, place or bounding box. Conventionally, users download the data themselves or use a tool such as DuckDB to download what they need, whereas pyplaces is more integrated, faster, and more precise.</description>
<author>tedbanken@gmail.com</author>      <pubDate>Fri, 02 May 2025 01:28:51 GMT</pubDate>
    </item>    <item>
      <title>0.2.0</title>
      <link>https://pypi.org/project/pyplaces/0.2.0/</link>
      <description>pyplaces is a Python package meant to streamline the usage of large places datasets, notably Overture Maps and Foursquare Open Places. All of the datasets and past releases can be downloaded to a specific address, place or bounding box. Conventionally, users download the data themselves or use a tool such as DuckDB to download what they need, whereas pyplaces is more integrated, faster, and more precise.</description>
<author>tedbanken@gmail.com</author>      <pubDate>Fri, 25 Apr 2025 19:08:53 GMT</pubDate>
    </item>    <item>
      <title>0.1.2</title>
      <link>https://pypi.org/project/pyplaces/0.1.2/</link>
      <description>pyplaces is a Python package meant to streamline the usage of large places datasets, notably Overture Maps and Foursquare Open Places. All of the datasets and past releases can be downloaded to a specific address, place or bounding box. Conventionally, users download the data themselves or use a tool such as DuckDB to download what they need, whereas pyplaces is more integrated, faster, and more precise.</description>
<author>tedbanken@gmail.com</author>      <pubDate>Mon, 14 Apr 2025 19:52:36 GMT</pubDate>
    </item>    <item>
      <title>0.1.1</title>
      <link>https://pypi.org/project/pyplaces/0.1.1/</link>
      <description>None</description>
<author>tedbanken@gmail.com</author>      <pubDate>Sat, 12 Apr 2025 17:57:28 GMT</pubDate>
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