Latest docs.

Author: github-actions[doc-deploy-bot]

master/_modules/dpctl.html

@@ -922,10 +922,6 @@ <h1>Source code for dpctl</h1><div class="highlight"><pre>
     <span class="s2">&quot;utils&quot;</span><span class="p">,</span>
 <span class="p">]</span>
 
-<span class="k">if</span> <span class="nb">hasattr</span><span class="p">(</span><span class="n">os</span><span class="p">,</span> <span class="s2">&quot;add_dll_directory&quot;</span><span class="p">):</span>
-    <span class="c1"># Include folder containing DPCTLSyclInterface.dll to search path</span>
-    <span class="n">os</span><span class="o">.</span><span class="n">add_dll_directory</span><span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">dirname</span><span class="p">(</span><span class="vm">__file__</span><span class="p">))</span>
-
 
 <div class="viewcode-block" id="get_include"><a class="viewcode-back" href="../api_reference/dpctl/generated/dpctl.get_include.html#dpctl.get_include">[docs]</a><span class="k">def</span><span class="w"> </span><span class="nf">get_include</span><span class="p">():</span>
 <span class="w">    </span><span class="sa">r</span><span class="sd">&quot;&quot;&quot;</span>

master/beginners_guides/installation.html

@@ -867,7 +867,7 @@ <h2>Installation using pip<a class="headerlink" href="#installation-using-pip" t
 <section id="installation-via-intel-r-distribution-for-python">
 <h2>Installation via Intel(R) Distribution for Python<a class="headerlink" href="#installation-via-intel-r-distribution-for-python" title="Permalink to this heading">¶</a></h2>
 <p><a class="reference external" href="https://www.intel.com/content/www/us/en/developer/tools/oneapi/distribution-for-python.html">Intel(R) Distribution for Python*</a> is distributed as a conda-based installer
-and includes <a class="reference internal" href="../api_reference/dpctl/index.html#module-dpctl" title="dpctl"><code class="xref py py-mod docutils literal notranslate"><span class="pre">dpctl</span></code></a> along with its dependencies and sister projects <a class="reference external" href="https://intelpython.github.io/dpnp/overview.html#module-dpnp" title="(in Data Parallel Extension for NumPy v0.19.0dev2+1.g30918e48741)"><code class="xref py py-mod docutils literal notranslate"><span class="pre">dpnp</span></code></a>
+and includes <a class="reference internal" href="../api_reference/dpctl/index.html#module-dpctl" title="dpctl"><code class="xref py py-mod docutils literal notranslate"><span class="pre">dpctl</span></code></a> along with its dependencies and sister projects <a class="reference external" href="https://intelpython.github.io/dpnp/overview.html#module-dpnp" title="(in Data Parallel Extension for NumPy v0.19.0dev3+5.g230ba6a3bf4)"><code class="xref py py-mod docutils literal notranslate"><span class="pre">dpnp</span></code></a>
 and <a class="reference external" href="https://intelpython.github.io/numba-dpex/latest/index.html#module-numba_dpex" title="(in numba-dpex)"><code class="xref py py-mod docutils literal notranslate"><span class="pre">numba_dpex</span></code></a>.</p>
 <p>Once the installed environment is activated, <code class="docutils literal notranslate"><span class="pre">dpctl</span></code> should be ready to use.</p>
 </section>