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    <title>#time-series · Louche Cannon</title>
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    <description>#time-series from Louche Cannon</description>
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      <title>To Be Determined - Matrix Profiles</title>
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      <pubDate>Thu, 27 Mar 2025 08:15:58 +0200</pubDate>
      <category>time-series</category>
      <description>&#xA;  &lt;p class=&#34;bafflegab-bookmark&#34;&gt;Bookmarked &lt;a class=&#34;u-bookmark-of&#34; href=&#34;https://aneksteind.github.io/posts/2025-03-26.html&#34;&gt;https://aneksteind.github.io/posts/2025-03-26.html&lt;/a&gt;&lt;/p&gt;&#xA;</description>
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      <title>The explosion in time series forecasting packages in data science</title>
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      <pubDate>Fri, 19 Jul 2024 07:19:51 +0200</pubDate>
      <category>time-series</category>
      <description>&#xA;  &lt;p class=&#34;bafflegab-bookmark&#34;&gt;Bookmarked &lt;a class=&#34;u-bookmark-of&#34; href=&#34;https://aeturrell.com/blog/posts/time-series-explosion/&#34;&gt;https://aeturrell.com/blog/posts/time-series-explosion/&lt;/a&gt;&lt;/p&gt;&#xA;</description>
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      <title>Introducing pg_timeseries: Open-source time-series extension for PostgreSQL | Tembo</title>
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      <pubDate>Tue, 21 May 2024 12:06:16 +0200</pubDate>
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      <category>time-series</category>
      <category>pidantic</category>
      <description>&#xA;  &lt;p class=&#34;bafflegab-bookmark&#34;&gt;Bookmarked &lt;a class=&#34;u-bookmark-of&#34; href=&#34;https://tembo.io/blog/pg-timeseries&#34;&gt;https://tembo.io/blog/pg-timeseries&lt;/a&gt;&lt;/p&gt;&#xA;</description>
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      <title>Demystifying the use of the Parquet file format for time series - SenX</title>
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      <pubDate>Wed, 17 Jan 2024 23:39:42 +0200</pubDate>
      <category>python</category>
      <category>pandas</category>
      <category>time-series</category>
      <description>&#xA;  &lt;p class=&#34;bafflegab-bookmark&#34;&gt;Bookmarked &lt;a class=&#34;u-bookmark-of&#34; href=&#34;https://blog.senx.io/demystifying-the-use-of-the-parquet-file-format-for-time-series/&#34;&gt;https://blog.senx.io/demystifying-the-use-of-the-parquet-file-format-for-time-series/&lt;/a&gt;&lt;/p&gt;&#xA;</description>
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      <title>facebook/prophet: Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.</title>
      <link>https://gbilder.com/bookmarks/01M4EHS48KHYREBCD0WWC5CZY1/</link>
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      <pubDate>Tue, 26 Sep 2023 21:03:23 +0200</pubDate>
      <category>time-series</category>
      <category>python</category>
      <category>data-science</category>
      <category>tryme</category>
      <description>&#xA;  &lt;p class=&#34;bafflegab-bookmark&#34;&gt;Bookmarked &lt;a class=&#34;u-bookmark-of&#34; href=&#34;https://github.com/facebook/prophet&#34;&gt;https://github.com/facebook/prophet&lt;/a&gt;&lt;/p&gt;&#xA;</description>
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      <title>VictoriaMetrics: Simple &amp; Reliable Monitoring for Everyone</title>
      <link>https://gbilder.com/bookmarks/01M4EHS476SHWCDCWP5XV8TJ7E/</link>
      <guid>https://gbilder.com/bookmarks/01M4EHS476SHWCDCWP5XV8TJ7E/</guid>
      <pubDate>Thu, 21 Sep 2023 21:20:36 +0200</pubDate>
      <category>observability</category>
      <category>metrics</category>
      <category>monitoring</category>
      <category>prometheus</category>
      <category>time-series</category>
      <description>&#xA;  &lt;p class=&#34;bafflegab-bookmark&#34;&gt;Bookmarked &lt;a class=&#34;u-bookmark-of&#34; href=&#34;https://victoriametrics.com/&#34;&gt;https://victoriametrics.com/&lt;/a&gt;&lt;/p&gt;&#xA;</description>
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      <title>Working with Time Series | Python Data Science Handbook</title>
      <link>https://gbilder.com/bookmarks/01M4EHS0JC12C1SK6M9HWJSNEN/</link>
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      <pubDate>Tue, 06 Dec 2022 19:21:31 +0200</pubDate>
      <category>python</category>
      <category>time-series</category>
      <category>pandas</category>
      <description>&#xA;  &lt;p class=&#34;bafflegab-bookmark&#34;&gt;Bookmarked &lt;a class=&#34;u-bookmark-of&#34; href=&#34;https://jakevdp.github.io/PythonDataScienceHandbook/03.11-working-with-time-series.html&#34;&gt;https://jakevdp.github.io/PythonDataScienceHandbook/03.11-working-with-time-series.html&lt;/a&gt;&lt;/p&gt;&#xA;  &lt;div class=&#34;e-content&#34;&gt;&lt;p&gt;pd.date_range(&amp;#x27;2015-07-03&amp;#x27;, &amp;#x27;2015-07-10&amp;#x27;)&lt;/p&gt;&lt;/div&gt;&#xA;</description>
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      <title>Monarch: Google’s Planet-Scale In-Memory Time Series Database</title>
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      <guid>https://gbilder.com/bookmarks/01M4EHRY40H11F2JKEH2G542RQ/</guid>
      <pubDate>Sun, 15 May 2022 11:37:53 +0200</pubDate>
      <category>time-series</category>
      <category>observability</category>
      <description>&#xA;  &lt;p class=&#34;bafflegab-bookmark&#34;&gt;Bookmarked &lt;a class=&#34;u-bookmark-of&#34; href=&#34;https://www.micahlerner.com/2022/04/24/monarch-googles-planet-scale-in-memory-time-series-database.html&#34;&gt;https://www.micahlerner.com/2022/04/24/monarch-googles-planet-scale-in-memory-time-series-database.html&lt;/a&gt;&lt;/p&gt;&#xA;</description>
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      <title>ClickHouse - fast open-source OLAP DBMS</title>
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      <pubDate>Tue, 29 Jun 2021 12:07:11 +0200</pubDate>
      <category>databases</category>
      <category>analytics</category>
      <category>olap</category>
      <category>time-series</category>
      <description>&#xA;  &lt;p class=&#34;bafflegab-bookmark&#34;&gt;Bookmarked &lt;a class=&#34;u-bookmark-of&#34; href=&#34;https://clickhouse.tech/&#34;&gt;https://clickhouse.tech/&lt;/a&gt;&lt;/p&gt;&#xA;  &lt;div class=&#34;e-content&#34;&gt;&lt;p&gt;&lt;blockquote&gt;ClickHouse is a fast open-source column-oriented database management system that allows generating analytical data reports in real-time using SQL queries&lt;/blockquote&gt;&lt;/p&gt;&lt;/div&gt;&#xA;</description>
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      <title>Kats | Kats</title>
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      <pubDate>Wed, 23 Jun 2021 16:57:00 +0200</pubDate>
      <category>python</category>
      <category>time-series</category>
      <category>monitoring</category>
      <description>&#xA;  &lt;p class=&#34;bafflegab-bookmark&#34;&gt;Bookmarked &lt;a class=&#34;u-bookmark-of&#34; href=&#34;https://facebookresearch.github.io/Kats/&#34;&gt;https://facebookresearch.github.io/Kats/&lt;/a&gt;&lt;/p&gt;&#xA;</description>
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      <title>Tutorial: Time Series Analysis with Pandas – Dataquest</title>
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      <guid>https://gbilder.com/bookmarks/01M4EHRR0ZFJSWECBTKWA0722G/</guid>
      <pubDate>Mon, 23 Mar 2020 08:21:25 +0200</pubDate>
      <category>pandas</category>
      <category>python</category>
      <category>time-series</category>
      <description>&#xA;  &lt;p class=&#34;bafflegab-bookmark&#34;&gt;Bookmarked &lt;a class=&#34;u-bookmark-of&#34; href=&#34;https://www.dataquest.io/blog/tutorial-time-series-analysis-with-pandas/&#34;&gt;https://www.dataquest.io/blog/tutorial-time-series-analysis-with-pandas/&lt;/a&gt;&lt;/p&gt;&#xA;</description>
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