deploy: f0634f3

Author: xmnlab

blog/console-based-representation-in-astx/index.html

@@ -1822,9 +1822,9 @@ <h1 id="example-an-ast-of-a-series-of-mathematical-operations">Example: an AST o
 $~~~~$ <code>a</code>, <code>b</code>, and <code>c</code> are variables.\
 The first thing to do is, in your Jupyter Notebook instance, import <code>display</code>, which will allow you to have a basic visualization of the AST, and the astx library itself. </p>
 <div class="language-python highlight"><pre><span></span><code><span id="__span-0-1"><a id="__codelineno-0-1" name="__codelineno-0-1" href="#__codelineno-0-1"></a><span class="c1"># import display for AST visualization</span>
-</span><span id="__span-0-2"><a id="__codelineno-0-2" name="__codelineno-0-2" href="#__codelineno-0-2"></a><span class="kn">from</span> <span class="nn">IPython.display</span> <span class="kn">import</span> <span class="n">display</span>
-</span><span id="__span-0-3"><a id="__codelineno-0-3" name="__codelineno-0-3" href="#__codelineno-0-3"></a><span class="kn">from</span> <span class="nn">astx.viz</span> <span class="kn">import</span> <span class="n">traverse_ast_ascii</span><span class="p">,</span> <span class="n">graph_to_ascii</span>
-</span><span id="__span-0-4"><a id="__codelineno-0-4" name="__codelineno-0-4" href="#__codelineno-0-4"></a><span class="kn">import</span> <span class="nn">astx</span>
+</span><span id="__span-0-2"><a id="__codelineno-0-2" name="__codelineno-0-2" href="#__codelineno-0-2"></a><span class="kn">import</span> <span class="nn">astx</span>
+</span><span id="__span-0-3"><a id="__codelineno-0-3" name="__codelineno-0-3" href="#__codelineno-0-3"></a>
+</span><span id="__span-0-4"><a id="__codelineno-0-4" name="__codelineno-0-4" href="#__codelineno-0-4"></a><span class="kn">from</span> <span class="nn">astx.viz</span> <span class="kn">import</span> <span class="n">graph_to_ascii</span><span class="p">,</span> <span class="n">traverse_ast_ascii</span>
 </span></code></pre></div>
 <p>Then we create an instance of the Module class, and this instance will be the first node of the tree, or the root node. After that, we declare the variables and literal that will be part of the basic operation that we will parse into an AST.</p>
 <div class="language-python highlight"><pre><span></span><code><span id="__span-1-1"><a id="__codelineno-1-1" name="__codelineno-1-1" href="#__codelineno-1-1"></a><span class="c1"># Create module</span>

blog/console-based-representation-in-astx/index.ipynb

@@ -74,9 +74,9 @@
    "outputs": [],
    "source": [
     "# import display for AST visualization\n",
-    "from IPython.display import display\n",
-    "from astx.viz import traverse_ast_ascii, graph_to_ascii\n",
-    "import astx"
+    "import astx\n",
+    "\n",
+    "from astx.viz import graph_to_ascii, traverse_ast_ascii"
    ]
   },
   {

blog/scaling-machine-learning-projects-with-dask/index.html

@@ -1879,8 +1879,8 @@ <h3 class="code-label">
 </ol>
 <div class="language-python highlight"><pre><span></span><code><span id="__span-4-1"><a id="__codelineno-4-1" name="__codelineno-4-1" href="#__codelineno-4-1"></a><span class="c1">#Lazy Evalution with dask</span>
 </span><span id="__span-4-2"><a id="__codelineno-4-2" name="__codelineno-4-2" href="#__codelineno-4-2"></a><span class="kn">import</span> <span class="nn">dask.dataframe</span> <span class="k">as</span> <span class="nn">dd</span>
-</span><span id="__span-4-3"><a id="__codelineno-4-3" name="__codelineno-4-3" href="#__codelineno-4-3"></a><span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
-</span><span id="__span-4-4"><a id="__codelineno-4-4" name="__codelineno-4-4" href="#__codelineno-4-4"></a><span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
+</span><span id="__span-4-3"><a id="__codelineno-4-3" name="__codelineno-4-3" href="#__codelineno-4-3"></a><span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
+</span><span id="__span-4-4"><a id="__codelineno-4-4" name="__codelineno-4-4" href="#__codelineno-4-4"></a><span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
 </span><span id="__span-4-5"><a id="__codelineno-4-5" name="__codelineno-4-5" href="#__codelineno-4-5"></a>
 </span><span id="__span-4-6"><a id="__codelineno-4-6" name="__codelineno-4-6" href="#__codelineno-4-6"></a><span class="c1"># Creating a dummy dataset</span>
 </span><span id="__span-4-7"><a id="__codelineno-4-7" name="__codelineno-4-7" href="#__codelineno-4-7"></a><span class="n">num_rows</span> <span class="o">=</span> <span class="mi">100</span>  <span class="c1"># Number of rows</span>
@@ -1966,19 +1966,20 @@ <h3 class="code-label">
 <div class="language-python highlight"><pre><span></span><code><span id="__span-6-1"><a id="__codelineno-6-1" name="__codelineno-6-1" href="#__codelineno-6-1"></a><span class="c1"># Dynamic task scheduling with Dask</span>
 </span><span id="__span-6-2"><a id="__codelineno-6-2" name="__codelineno-6-2" href="#__codelineno-6-2"></a><span class="kn">import</span> <span class="nn">dask</span>
 </span><span id="__span-6-3"><a id="__codelineno-6-3" name="__codelineno-6-3" href="#__codelineno-6-3"></a>
-</span><span id="__span-6-4"><a id="__codelineno-6-4" name="__codelineno-6-4" href="#__codelineno-6-4"></a><span class="nd">@dask</span><span class="o">.</span><span class="n">delayed</span>
-</span><span id="__span-6-5"><a id="__codelineno-6-5" name="__codelineno-6-5" href="#__codelineno-6-5"></a><span class="k">def</span> <span class="nf">square</span><span class="p">(</span><span class="n">x</span><span class="p">):</span>
-</span><span id="__span-6-6"><a id="__codelineno-6-6" name="__codelineno-6-6" href="#__codelineno-6-6"></a>    <span class="k">return</span> <span class="n">x</span> <span class="o">*</span> <span class="n">x</span>
-</span><span id="__span-6-7"><a id="__codelineno-6-7" name="__codelineno-6-7" href="#__codelineno-6-7"></a>
-</span><span id="__span-6-8"><a id="__codelineno-6-8" name="__codelineno-6-8" href="#__codelineno-6-8"></a><span class="n">data</span> <span class="o">=</span> <span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="mi">4</span><span class="p">,</span> <span class="mi">5</span><span class="p">,</span> <span class="mi">6</span><span class="p">,</span> <span class="mi">7</span><span class="p">,</span> <span class="mi">8</span><span class="p">,</span> <span class="mi">9</span><span class="p">]</span>
-</span><span id="__span-6-9"><a id="__codelineno-6-9" name="__codelineno-6-9" href="#__codelineno-6-9"></a><span class="n">results</span> <span class="o">=</span> <span class="p">[]</span>
-</span><span id="__span-6-10"><a id="__codelineno-6-10" name="__codelineno-6-10" href="#__codelineno-6-10"></a>
-</span><span id="__span-6-11"><a id="__codelineno-6-11" name="__codelineno-6-11" href="#__codelineno-6-11"></a><span class="k">for</span> <span class="n">value</span> <span class="ow">in</span> <span class="n">data</span><span class="p">:</span>
-</span><span id="__span-6-12"><a id="__codelineno-6-12" name="__codelineno-6-12" href="#__codelineno-6-12"></a>    <span class="n">result</span> <span class="o">=</span> <span class="n">square</span><span class="p">(</span><span class="n">value</span><span class="p">)</span>
-</span><span id="__span-6-13"><a id="__codelineno-6-13" name="__codelineno-6-13" href="#__codelineno-6-13"></a>    <span class="n">results</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">result</span><span class="p">)</span>
-</span><span id="__span-6-14"><a id="__codelineno-6-14" name="__codelineno-6-14" href="#__codelineno-6-14"></a>
-</span><span id="__span-6-15"><a id="__codelineno-6-15" name="__codelineno-6-15" href="#__codelineno-6-15"></a><span class="n">final_result</span> <span class="o">=</span> <span class="n">dask</span><span class="o">.</span><span class="n">compute</span><span class="p">(</span><span class="o">*</span><span class="n">results</span><span class="p">)</span>
-</span><span id="__span-6-16"><a id="__codelineno-6-16" name="__codelineno-6-16" href="#__codelineno-6-16"></a><span class="nb">print</span><span class="p">(</span><span class="n">final_result</span><span class="p">)</span>
+</span><span id="__span-6-4"><a id="__codelineno-6-4" name="__codelineno-6-4" href="#__codelineno-6-4"></a>
+</span><span id="__span-6-5"><a id="__codelineno-6-5" name="__codelineno-6-5" href="#__codelineno-6-5"></a><span class="nd">@dask</span><span class="o">.</span><span class="n">delayed</span>
+</span><span id="__span-6-6"><a id="__codelineno-6-6" name="__codelineno-6-6" href="#__codelineno-6-6"></a><span class="k">def</span> <span class="nf">square</span><span class="p">(</span><span class="n">x</span><span class="p">):</span>
+</span><span id="__span-6-7"><a id="__codelineno-6-7" name="__codelineno-6-7" href="#__codelineno-6-7"></a>    <span class="k">return</span> <span class="n">x</span> <span class="o">*</span> <span class="n">x</span>
+</span><span id="__span-6-8"><a id="__codelineno-6-8" name="__codelineno-6-8" href="#__codelineno-6-8"></a>
+</span><span id="__span-6-9"><a id="__codelineno-6-9" name="__codelineno-6-9" href="#__codelineno-6-9"></a><span class="n">data</span> <span class="o">=</span> <span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="mi">4</span><span class="p">,</span> <span class="mi">5</span><span class="p">,</span> <span class="mi">6</span><span class="p">,</span> <span class="mi">7</span><span class="p">,</span> <span class="mi">8</span><span class="p">,</span> <span class="mi">9</span><span class="p">]</span>
+</span><span id="__span-6-10"><a id="__codelineno-6-10" name="__codelineno-6-10" href="#__codelineno-6-10"></a><span class="n">results</span> <span class="o">=</span> <span class="p">[]</span>
+</span><span id="__span-6-11"><a id="__codelineno-6-11" name="__codelineno-6-11" href="#__codelineno-6-11"></a>
+</span><span id="__span-6-12"><a id="__codelineno-6-12" name="__codelineno-6-12" href="#__codelineno-6-12"></a><span class="k">for</span> <span class="n">value</span> <span class="ow">in</span> <span class="n">data</span><span class="p">:</span>
+</span><span id="__span-6-13"><a id="__codelineno-6-13" name="__codelineno-6-13" href="#__codelineno-6-13"></a>    <span class="n">result</span> <span class="o">=</span> <span class="n">square</span><span class="p">(</span><span class="n">value</span><span class="p">)</span>
+</span><span id="__span-6-14"><a id="__codelineno-6-14" name="__codelineno-6-14" href="#__codelineno-6-14"></a>    <span class="n">results</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">result</span><span class="p">)</span>
+</span><span id="__span-6-15"><a id="__codelineno-6-15" name="__codelineno-6-15" href="#__codelineno-6-15"></a>
+</span><span id="__span-6-16"><a id="__codelineno-6-16" name="__codelineno-6-16" href="#__codelineno-6-16"></a><span class="n">final_result</span> <span class="o">=</span> <span class="n">dask</span><span class="o">.</span><span class="n">compute</span><span class="p">(</span><span class="o">*</span><span class="n">results</span><span class="p">)</span>
+</span><span id="__span-6-17"><a id="__codelineno-6-17" name="__codelineno-6-17" href="#__codelineno-6-17"></a><span class="nb">print</span><span class="p">(</span><span class="n">final_result</span><span class="p">)</span>
 </span></code></pre></div>
 <div class="language-text highlight">
 <h3 class="code-label">

blog/scaling-machine-learning-projects-with-dask/index.ipynb

@@ -183,8 +183,8 @@
    "source": [
     "#Lazy Evalution with dask\n",
     "import dask.dataframe as dd\n",
-    "import pandas as pd\n",
     "import numpy as np\n",
+    "import pandas as pd\n",
     "\n",
     "# Creating a dummy dataset\n",
     "num_rows = 100  # Number of rows\n",
@@ -286,6 +286,7 @@
     "# Dynamic task scheduling with Dask\n",
     "import dask\n",
     "\n",
+    "\n",
     "@dask.delayed\n",
     "def square(x):\n",
     "    return x * x\n",

blog/streamlining-project-automation-with-makim/index.html

@@ -1829,7 +1829,8 @@ <h3 id="installation">Installation<a class="headerlink" href="#installation" tit
 <p>Given Makim's active development, pinning to a specific version is recommended to ensure consistency.</p>
 <p>For this tutorial, we will disable the output color feature provided by typer, the command-line interface engine used by <strong>Makim</strong>.</p>
 <div class="language-python highlight"><pre><span></span><code><span id="__span-2-1"><a id="__codelineno-2-1" name="__codelineno-2-1" href="#__codelineno-2-1"></a><span class="kn">import</span> <span class="nn">os</span>
-</span><span id="__span-2-2"><a id="__codelineno-2-2" name="__codelineno-2-2" href="#__codelineno-2-2"></a><span class="n">os</span><span class="o">.</span><span class="n">environ</span><span class="p">[</span><span class="s2">&quot;NO_COLOR&quot;</span><span class="p">]</span> <span class="o">=</span> <span class="s2">&quot;1&quot;</span>
+</span><span id="__span-2-2"><a id="__codelineno-2-2" name="__codelineno-2-2" href="#__codelineno-2-2"></a>
+</span><span id="__span-2-3"><a id="__codelineno-2-3" name="__codelineno-2-3" href="#__codelineno-2-3"></a><span class="n">os</span><span class="o">.</span><span class="n">environ</span><span class="p">[</span><span class="s2">&quot;NO_COLOR&quot;</span><span class="p">]</span> <span class="o">=</span> <span class="s2">&quot;1&quot;</span>
 </span></code></pre></div>
 <h3 id="configuring-makimyaml">Configuring <code>.makim.yaml</code><a class="headerlink" href="#configuring-makimyaml" title="Permanent link"> #</a></h3>
 <p>The <code>.makim.yaml</code> file is the foundation of your Makim configuration. Here's how to start:</p>

blog/streamlining-project-automation-with-makim/index.ipynb

@@ -92,6 +92,7 @@
    "outputs": [],
    "source": [
     "import os\n",
+    "\n",
     "os.environ[\"NO_COLOR\"] = \"1\""
    ]
   },

blog/unlocking-the-power-of-multiple-dispatch-in-python-with-plum-dispatch/index.html

@@ -1807,14 +1807,15 @@ <h3 id="basic-usage">Basic Usage<a class="headerlink" href="#basic-usage" title=
 <p>To demonstrate the basic usage of <code>plum-dispatch</code>, let's start with a simple example. Suppose we have a function that needs to behave differently when passed an integer versus when it's passed a string.</p>
 <div class="language-python highlight"><pre><span></span><code><span id="__span-1-1"><a id="__codelineno-1-1" name="__codelineno-1-1" href="#__codelineno-1-1"></a><span class="kn">from</span> <span class="nn">plum</span> <span class="kn">import</span> <span class="n">dispatch</span>
 </span><span id="__span-1-2"><a id="__codelineno-1-2" name="__codelineno-1-2" href="#__codelineno-1-2"></a>
-</span><span id="__span-1-3"><a id="__codelineno-1-3" name="__codelineno-1-3" href="#__codelineno-1-3"></a><span class="k">class</span> <span class="nc">Processor</span><span class="p">:</span>
-</span><span id="__span-1-4"><a id="__codelineno-1-4" name="__codelineno-1-4" href="#__codelineno-1-4"></a>    <span class="nd">@dispatch</span>
-</span><span id="__span-1-5"><a id="__codelineno-1-5" name="__codelineno-1-5" href="#__codelineno-1-5"></a>    <span class="k">def</span> <span class="nf">process</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">data</span><span class="p">:</span> <span class="nb">int</span><span class="p">):</span>
-</span><span id="__span-1-6"><a id="__codelineno-1-6" name="__codelineno-1-6" href="#__codelineno-1-6"></a>        <span class="k">return</span> <span class="sa">f</span><span class="s2">&quot;Processing integer: </span><span class="si">{</span><span class="n">data</span><span class="si">}</span><span class="s2">&quot;</span>
-</span><span id="__span-1-7"><a id="__codelineno-1-7" name="__codelineno-1-7" href="#__codelineno-1-7"></a>
-</span><span id="__span-1-8"><a id="__codelineno-1-8" name="__codelineno-1-8" href="#__codelineno-1-8"></a>    <span class="nd">@dispatch</span>
-</span><span id="__span-1-9"><a id="__codelineno-1-9" name="__codelineno-1-9" href="#__codelineno-1-9"></a>    <span class="k">def</span> <span class="nf">process</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">data</span><span class="p">:</span> <span class="nb">str</span><span class="p">):</span>
-</span><span id="__span-1-10"><a id="__codelineno-1-10" name="__codelineno-1-10" href="#__codelineno-1-10"></a>        <span class="k">return</span> <span class="sa">f</span><span class="s2">&quot;Processing string: </span><span class="si">{</span><span class="n">data</span><span class="si">}</span><span class="s2">&quot;</span>
+</span><span id="__span-1-3"><a id="__codelineno-1-3" name="__codelineno-1-3" href="#__codelineno-1-3"></a>
+</span><span id="__span-1-4"><a id="__codelineno-1-4" name="__codelineno-1-4" href="#__codelineno-1-4"></a><span class="k">class</span> <span class="nc">Processor</span><span class="p">:</span>
+</span><span id="__span-1-5"><a id="__codelineno-1-5" name="__codelineno-1-5" href="#__codelineno-1-5"></a>    <span class="nd">@dispatch</span>
+</span><span id="__span-1-6"><a id="__codelineno-1-6" name="__codelineno-1-6" href="#__codelineno-1-6"></a>    <span class="k">def</span> <span class="nf">process</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">data</span><span class="p">:</span> <span class="nb">int</span><span class="p">):</span>
+</span><span id="__span-1-7"><a id="__codelineno-1-7" name="__codelineno-1-7" href="#__codelineno-1-7"></a>        <span class="k">return</span> <span class="sa">f</span><span class="s2">&quot;Processing integer: </span><span class="si">{</span><span class="n">data</span><span class="si">}</span><span class="s2">&quot;</span>
+</span><span id="__span-1-8"><a id="__codelineno-1-8" name="__codelineno-1-8" href="#__codelineno-1-8"></a>
+</span><span id="__span-1-9"><a id="__codelineno-1-9" name="__codelineno-1-9" href="#__codelineno-1-9"></a>    <span class="nd">@dispatch</span>
+</span><span id="__span-1-10"><a id="__codelineno-1-10" name="__codelineno-1-10" href="#__codelineno-1-10"></a>    <span class="k">def</span> <span class="nf">process</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">data</span><span class="p">:</span> <span class="nb">str</span><span class="p">):</span>
+</span><span id="__span-1-11"><a id="__codelineno-1-11" name="__codelineno-1-11" href="#__codelineno-1-11"></a>        <span class="k">return</span> <span class="sa">f</span><span class="s2">&quot;Processing string: </span><span class="si">{</span><span class="n">data</span><span class="si">}</span><span class="s2">&quot;</span>
 </span></code></pre></div>
 <p>In this example, <code>Processor</code> has two <code>process</code> methods, one for integers and one for strings. <code>plum-dispatch</code> takes care of determining which method to call based on the type of <code>data</code>.</p>
 <h3 id="advanced-example-working-with-asts">Advanced Example: Working with ASTs<a class="headerlink" href="#advanced-example-working-with-asts" title="Permanent link"> #</a></h3>

blog/unlocking-the-power-of-multiple-dispatch-in-python-with-plum-dispatch/index.ipynb

@@ -72,6 +72,7 @@
    "source": [
     "from plum import dispatch\n",
     "\n",
+    "\n",
     "class Processor:\n",
     "    @dispatch\n",
     "    def process(self, data: int):\n",