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    <title>Eng -&gt; Data*</title>
    <link>https://floringrigoriu.github.io/</link>
    <description>Recent content on Eng -&gt; Data*</description>
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      <title>Hugo</title>
      <link>https://floringrigoriu.github.io/posts/hugo/</link>
      <pubDate>Fri, 01 Mar 2024 00:56:17 -0800</pubDate>
      <guid>https://floringrigoriu.github.io/posts/hugo/</guid>
      <description>Meta : This blog is supported via Hugo + themes
Hugo is a popular template engine specifically designed for building static websites. Unlike dynamic content management systems, Hugo like many other static page generators pre-renders content into HTML files, resulting in lightning-fast loading times and simplified deployment. For my current version I just host this blog in Github pages. Hugo leverages Markdown files for content creation, which is pretty lightweight writing experience for developers.</description>
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      <title>Boiling the Frog : Performance Edition</title>
      <link>https://floringrigoriu.github.io/posts/boiling_frog_-_performance_edition/</link>
      <pubDate>Sun, 31 Dec 2023 23:44:55 -0800</pubDate>
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      <description>There is the metaphor of the boiling frog (https://en.wikipedia.org/wiki/Boiling_frog). It is something fascinating when you read about it in a distant mental model. In truth, the concept that a frog will not react to gradual change and will ignore signs, it is just a misconception proven wrong by experiments. But it is indeed a good mental model to warn us about dangers of gradual failure and people lack of reaction of slowly creeping in issues.</description>
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      <title>Passion for System Design Interviews</title>
      <link>https://floringrigoriu.github.io/posts/system_design/</link>
      <pubDate>Sat, 29 Oct 2022 00:56:08 -0700</pubDate>
      <guid>https://floringrigoriu.github.io/posts/system_design/</guid>
      <description>Over the last 10 years, I had interviewed around 400 candidates for software positions, while working at Microsoft, Facebook (now Meta), and UiPath. There are 3 main types of interviews and it is quite surprising how similar are the interviews across the industry :
Coding: does the candidate manage to successfully, end2end solve an algorithmic problem with decent code? Behavior: try to project if the candidate will work well in the team/organization/company.</description>
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      <title>Learning</title>
      <link>https://floringrigoriu.github.io/posts/learning/</link>
      <pubDate>Wed, 02 Mar 2022 00:22:29 -0800</pubDate>
      <guid>https://floringrigoriu.github.io/posts/learning/</guid>
      <description>I love to learn new things, in part because I want to explore my next-self, in part standard curiosity. When it comes to learning or in general consuming optimally content to achieve a goal I see a gradient between visual people and audio-minded folks. In my case I&amp;rsquo;m definitely on the audio side, with learning/exploration paradigm being somewhere between audiobook and podcast, spending a good amount of time on books, some of the more relevant I put on my good reads which for me should be more like GoodListens since most of the title I consumed in the audio format while doing normal living stuff : drive, doing sports, dishes.</description>
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      <title>Helloworld</title>
      <link>https://floringrigoriu.github.io/posts/helloworld/</link>
      <pubDate>Sun, 03 Oct 2021 01:07:52 -0700</pubDate>
      <guid>https://floringrigoriu.github.io/posts/helloworld/</guid>
      <description>Hello world ! My name is Florin Grigoriu and this the start of my blog. To many posts to come !
print(f&amp;#34;Hello world {name} !&amp;#34;) System.out.println(&amp;#34;Hello world &amp;#34;+ name + &amp;#34;!&amp;#34;) echo &amp;#34;Hello world {name} !&amp;#34; </description>
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      <title></title>
      <link>https://floringrigoriu.github.io/posts/drafts/pytorch/</link>
      <pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
      <guid>https://floringrigoriu.github.io/posts/drafts/pytorch/</guid>
      <description>plan : Setup :
install Python -&amp;gt; get anaconda choco install anaconda3
add VS code support for python notebook enable python interpreter in VS code by selecting VS in anaconda navigator Alternativelly : Anaconda navigator -&amp;gt; Jupyter Lab local UI Alternativelly : Just set C:/tools/Anaconda3 in the path of windows </description>
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