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      James,<br>
      <br>
      Thanks. Just to avoid crossed-wires, which features do you mean
      exactly?<br>
      <br>
      Thanks, Matt<br>
      <br>
      On 08/12/14 15:25, James Eales wrote:<br>
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cite="mid:CAOfE7BTCa6m9eySE+E-1Jb8dZ4L_8XateboFYLvyB=pG1BZ+yg@mail.gmail.com"
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        <div>Matt,</div>
        Very impressive show of what data.table can do
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            <div>It would be helpful to have a wider set of these more
              'advanced' data.table function calls in the FAQ</div>
            <div>I keep discovering more features, even after reading
              the FAQ, R-help and intro vignette multiple times (this is
              not a criticism of the docs, but praise for DT's
              flexibility)</div>
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        <div>Learning by example, even if you don't understand it fully
          the first time, can be very powerful</div>
        <div>James</div>
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      <div class="gmail_extra"><br>
        <div class="gmail_quote">On 8 December 2014 at 15:03, Matt Dowle
          <span dir="ltr"><<a moz-do-not-send="true"
              href="mailto:mdowle@mdowle.plus.com" target="_blank">mdowle@mdowle.plus.com</a>></span>
          wrote:<br>
          <blockquote class="gmail_quote" style="margin:0 0 0
            .8ex;border-left:1px #ccc solid;padding-left:1ex"><br>
            As a few have asked already, will upload slides later.  It
            was a collection of different files and part was just an R
            script. I'll need to merge together ...
            <div class="HOEnZb">
              <div class="h5"><br>
                <br>
                On 08/12/14 14:44, Matt Dowle wrote:<br>
                <blockquote class="gmail_quote" style="margin:0 0 0
                  .8ex;border-left:1px #ccc solid;padding-left:1ex">
                  Hi,<br>
                  <br>
                  A video of my talk at H2O World in San Francisco
                  recently :<br>
                  <br>
                     <a moz-do-not-send="true"
                    href="https://www.youtube.com/watch?v=MvH1eTdsekA"
                    target="_blank">https://www.youtube.com/watch?v=MvH1eTdsekA</a><br>
                  <br>
                    0:00   Examples from two insurance companies using
                  data.table<br>
                  12:00   What is data.table, benchmarks dplyr and
                  pandas<br>
                  16:55   Overlap joins<br>
                  20:00   Rolling joins<br>
                  22:30   data.table radix sorting is better than
                  hashing (dplyr and pandas)<br>
                  23:00   H2O (just parallel file reading and grouping
                  as quick test)<br>
                  30:00   Quick rerun of talk at Bay Area R User Group
                  (sorting benchmark, automatic indexes flows through to
                  dplyr, numeric rounding)<br>
                  33:10   My status<br>
                  36:45   Questions<br>
                  49:26   End<br>
                  <br>
                  Comments/suggestions very welcome.<br>
                  <br>
                  Matt<br>
                  <br>
                  <br>
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                <br>
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