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  100.   <section id="other-material">
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  101. <h1>Other Material<a class="headerlink" href="#other-material" title="Permalink to this headline"></a></h1>
    102. 

  102. <section id="videos">
    103. 

  103. <h2>Videos<a class="headerlink" href="#videos" title="Permalink to this headline"></a></h2>
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  104. <p>These are the videos of a series dedicated to introduce the main features of
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  105. PyTables in a visual and easy to grasp manner.
    106. 

  106. More videos will be made available with the time:</p>
    107. 

  107. <ul class="simple">
    108. 

  108. <li><p><a class="reference external" href="http://www.youtube.com/watch?v=Nzx0HAd3FiI">HDF5 is for Lovers, SciPy 2012 Tutorial</a>:
    109. 

  109. a beginner’s introduction to PyTables and HDF5.</p></li>
    110. 

  110. </ul>
    111. 

  111. </section>
    112. 

  112. <section id="presentations">
    113. 

  113. <h2>Presentations<a class="headerlink" href="#presentations" title="Permalink to this headline"></a></h2>
    114. 

  114. <p>Here are the slides of some presentations about PyTables that you may find
    115. 

  115. useful:</p>
    116. 

  116. <ul class="simple">
    117. 

  117. <li><p>HDF5 is for Lovers, SciPy 2012 Tutorial, July 2012, Austin, TX, USA,
    118. 

  118. <a class="reference external" href="https://raw.github.com/scopatz/scipy2012/master/hdf5/scopatz_scipy2012_hdf5.pdf">slides (pdf)</a>,
    119. 

  119. <a class="reference external" href="http://www.youtube.com/watch?v=Nzx0HAd3FiI">video</a>,
    120. 

  120. <a class="reference external" href="https://github.com/scopatz/scipy2012/tree/master/hdf5/exer">exercises</a>,
    121. 

  121. <a class="reference external" href="https://github.com/scopatz/scipy2012/tree/master/hdf5/sol">solutions</a>, and
    122. 

  122. <a class="reference external" href="https://github.com/scopatz/scipy2012">repository</a>.</p></li>
    123. 

  123. <li><p><a class="reference external" href="http://www.pytables.org/docs/PUG-Austin-2012-v3.pdf">An on-disk binary data container</a>.
    124. 

  124. Talk given at the <a class="reference external" href="http://www.meetup.com/austinpython">Austin Python Meetup</a>,
    125. 

  125. Austin, TX, USA (May 2012).</p></li>
    126. 

  126. <li><p><a class="reference external" href="http://www.pytables.org/docs/LargeDataAnalysis.pdf">Large Data Analysis with Python</a>.
    127. 

  127. Seminar given at the <a class="reference external" href="http://www.g-node.org">German Neuroinformatics Node</a>,
    128. 

  128. Munich, Germany (November 2010).</p></li>
    129. 

  129. <li><p><a class="reference external" href="http://www.pytables.org/docs/StarvingCPUs-PyTablesUsages.pdf">Starving CPUs (and coping with that in PyTables)</a>.
    130. 

  130. Seminar given at <a class="reference external" href="http://www.rijnhuizen.nl/">FOM Institute for Plasma Physics Rijnhuizen</a>,
    131. 

  131. The Netherlands (September 2009).</p></li>
    132. 

  132. <li><p><a class="reference external" href="http://www.pytables.org/docs/StarvingCPUs.pdf">On The Data Access Issue (or Why Modern CPUs Are Starving)</a>.
    133. 

  133. Keynote presented at <a class="reference external" href="https://www.euroscipy.org/">EuroSciPy 2009</a> conference
    134. 

  134. in Leipzig, Germany (July 2009).</p></li>
    135. 

  135. <li><p><a class="reference external" href="http://www.pytables.org/docs/THG-2007-PlansForNewOPSI.pdf">An Overview of Future Improvements to OPSI</a>.
    136. 

  136. Informal talk given at the <a class="reference external" href="http://www.hdfgroup.org">THG headquarters</a> in
    137. 

  137. Urbana-Champaign, Illinois, USA (October 2007).</p></li>
    138. 

  138. <li><p><a class="reference external" href="http://www.pytables.org/docs/FindingNeedles.pdf">Finding Needles in a Huge DataStack</a>.
    139. 

  139. Talk given at the <strong>EuroPython 2006 Conference</strong>, held at CERN, Genève,
    140. 

  140. Switzerland (July 2006).</p></li>
    141. 

  141. <li><p><a class="reference external" href="http://www.pytables.org/docs/HDF_IX_Workshop.pdf">Presentation given at the “HDF Workshop 2005”</a>, held at San Francisco,
    142. 

  142. USA (December 2005).</p></li>
    143. 

  143. <li><p><a class="reference external" href="http://www.pytables.org/docs/taller-sf1-color.pdf">I</a> and
    144. 

  144. <a class="reference external" href="http://www.pytables.org/docs/taller-sf2-color.pdf">II</a> <strong>Workshop in Free
    145. 

  145. Software and Scientific Computing</strong> given at the Universitat Jaume I,
    146. 

  146. Castelló, Spain (October 2004). In Catalan.</p></li>
    147. 

  147. <li><p><a class="reference external" href="http://www.pytables.org/docs/SciPy04.pdf">Presentation given at the “SciPy Workshop 2004”</a>, held at Caltech, Pasadena,
    148. 

  148. USA (September 2004).</p></li>
    149. 

  149. <li><p><a class="reference external" href="http://www.pytables.org/docs/EuroPython2003.pdf">Slides</a> of presentation
    150. 

  150. given at <strong>EuroPython Conference</strong> in Charleroi, Belgium (June 2003).</p></li>
    151. 

  151. <li><p><a class="reference external" href="http://www.pytables.org/docs/iparty2003.pdf">Presentation for the “iParty5”</a>
    152. 

  152. held at Castelló, Spain (May 2003). In Spanish.</p></li>
    153. 

  153. <li><p><a class="reference external" href="http://www.pytables.org/docs/pycon2003.pdf">Talk</a> on PyTables given at
    154. 

  154. the <strong>PyCon 2003 Convention</strong> held at Washington, USA (March 203).</p></li>
    155. 

  155. </ul>
    156. 

  156. </section>
    157. 

  157. <section id="reports">
    158. 

  158. <h2>Reports<a class="headerlink" href="#reports" title="Permalink to this headline"></a></h2>
    159. 

  159. <ul class="simple">
    160. 

  160. <li><p>White Paper on <a class="reference external" href="http://www.pytables.org/docs/OPSI-indexes.pdf">OPSI indexes</a>,
    161. 

  161. explaining the powerful new indexing engine in PyTables Pro.</p></li>
    162. 

  162. <li><p><a class="reference external" href="http://www.pytables.org/docs/NewObjectTreeCache.pdf">Performance study</a>
    163. 

  163. on how the new object tree cache introduced in PyTables 1.2 can accelerate
    164. 

  164. the opening of files with a large number of objects, while being quite less
    165. 

  165. memory hungry.</p></li>
    166. 

  166. <li><p><a class="reference external" href="http://www.pytables.org/docs/pycon2003-paper.pdf">Paper version</a> of the
    167. 

  167. presentation at PyCon2003.</p></li>
    168. 

  168. </ul>
    169. 

  169. </section>
    170. 

  170. <section id="other-sources-for-examples">
    171. 

  171. <h2>Other sources for examples<a class="headerlink" href="#other-sources-for-examples" title="Permalink to this headline"></a></h2>
    172. 

  172. <p>The examples presented above show just a little amount of the full capabilities
    173. 

  173. of PyTables.
    174. 

  174. Please check out the documentation and the <code class="file docutils literal notranslate"><span class="pre">examples/</span></code> directory in the
    175. 

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