Deploying to gh-pages from @ d263a24 🚀

Author: essicolo

.buildinfo

@@ -1,4 +1,4 @@
 # Sphinx build info version 1
 # This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done.
-config: 670747512c3317cfe8b4484face8858f
+config: 3ec35454601a541c301143e5caf37525
 tags: 645f666f9bcd5a90fca523b33c5a78b7

_examples/basic-usage.html

@@ -5,7 +5,7 @@
     <meta charset="utf-8" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="viewport" content="width=device-width, initial-scale=1" />
 
-    <title>Pandalchemy: Basic Usage &#8212; pandalchemy 0.1.0 documentation</title>
+    <title>seekwellpandas: Basic Usage &#8212; seekwellpandas 0.1.0 documentation</title>
     <link rel="stylesheet" type="text/css" href="../_static/pygments.css?v=d1102ebc" />
     <link rel="stylesheet" type="text/css" href="../_static/alabaster.css?v=12dfc556" />
     <link rel="stylesheet" type="text/css" href="../_static/nbsphinx-code-cells.css?v=2aa19091" />
@@ -35,9 +35,9 @@
 
           <div class="body" role="main">
 
-  <section id="Pandalchemy:-Basic-Usage">
-<h1>Pandalchemy: Basic Usage<a class="headerlink" href="#Pandalchemy:-Basic-Usage" title="Link to this heading">¶</a></h1>
-<p>This notebook demonstrates the basic usage of the Pandalchemy library, which extends pandas with SQL-like functionality.</p>
+  <section id="seekwellpandas:-Basic-Usage">
+<h1>seekwellpandas: Basic Usage<a class="headerlink" href="#seekwellpandas:-Basic-Usage" title="Link to this heading">¶</a></h1>
+<p>This notebook demonstrates the basic usage of the seekwellpandas library, which extends pandas with SQL-like functionality.</p>
 <section id="Setup">
 <h2>Setup<a class="headerlink" href="#Setup" title="Link to this heading">¶</a></h2>
 <p>First, let’s import the necessary libraries and create some sample data.</p>
@@ -46,7 +46,7 @@ <h2>Setup<a class="headerlink" href="#Setup" title="Link to this heading">¶</a>
 </pre></div>
 </div>
 <div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre><span></span>import pandas as pd
-import pandalchemy as pa
+import seekwellpandas
 
 # Create sample data
 people = pd.DataFrame({
@@ -1223,9 +1223,9 @@ <h3>Rename Column<a class="headerlink" href="#Rename-Column" title="Link to this
       <div class="sphinxsidebar" role="navigation" aria-label="Main">
         <div class="sphinxsidebarwrapper">
             <p class="logo"><a href="../index.html">
-              <img class="logo" src="../_static/logo.png" alt="Logo of pandalchemy"/>
+              <img class="logo" src="../_static/logo.png" alt="Logo of seekwellpandas"/>
             </a></p>
-<h1 class="logo"><a href="../index.html">pandalchemy</a></h1>
+<h1 class="logo"><a href="../index.html">seekwellpandas</a></h1>
 
 
 
@@ -1237,9 +1237,8 @@ <h1 class="logo"><a href="../index.html">pandalchemy</a></h1>
 <h3>Navigation</h3>
 <p class="caption" role="heading"><span class="caption-text">Contents:</span></p>
 <ul class="current">
-<li class="toctree-l1"><a class="reference internal" href="../installation.html">Installation</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../api.html">API Reference</a></li>
-<li class="toctree-l1 current"><a class="current reference internal" href="#">Pandalchemy: Basic Usage</a><ul>
+<li class="toctree-l1 current"><a class="current reference internal" href="#">seekwellpandas: Basic Usage</a><ul>
 <li class="toctree-l2"><a class="reference internal" href="#Setup">Setup</a></li>
 <li class="toctree-l2"><a class="reference internal" href="#Basic-Operations">Basic Operations</a></li>
 <li class="toctree-l2"><a class="reference internal" href="#Advanced-Operations">Advanced Operations</a></li>

_examples/basic-usage.ipynb

@@ -4,9 +4,9 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# Pandalchemy: Basic Usage\n",
+    "# seekwellpandas: Basic Usage\n",
     "\n",
-    "This notebook demonstrates the basic usage of the Pandalchemy library, which extends pandas with SQL-like functionality.\n",
+    "This notebook demonstrates the basic usage of the seekwellpandas library, which extends pandas with SQL-like functionality.\n",
     "\n",
     "## Setup\n",
     "\n",
@@ -141,7 +141,7 @@
    ],
    "source": [
     "import pandas as pd\n",
-    "import pandalchemy as pa\n",
+    "import seekwellpandas\n",
     "\n",
     "# Create sample data\n",
     "people = pd.DataFrame({\n",
@@ -1411,9 +1411,9 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python (pandalchemy)",
+   "display_name": "Python (seekwellpandas)",
    "language": "python",
-   "name": "pandalchemy"
+   "name": "seekwellpandas"
   },
   "language_info": {
    "codemirror_mode": {

_sources/_examples/basic-usage.ipynb.txt

@@ -4,9 +4,9 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# Pandalchemy: Basic Usage\n",
+    "# seekwellpandas: Basic Usage\n",
     "\n",
-    "This notebook demonstrates the basic usage of the Pandalchemy library, which extends pandas with SQL-like functionality.\n",
+    "This notebook demonstrates the basic usage of the seekwellpandas library, which extends pandas with SQL-like functionality.\n",
     "\n",
     "## Setup\n",
     "\n",
@@ -141,7 +141,7 @@
    ],
    "source": [
     "import pandas as pd\n",
-    "import pandalchemy as pa\n",
+    "import seekwellpandas\n",
     "\n",
     "# Create sample data\n",
     "people = pd.DataFrame({\n",
@@ -1411,9 +1411,9 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python (pandalchemy)",
+   "display_name": "Python (seekwellpandas)",
    "language": "python",
-   "name": "pandalchemy"
+   "name": "seekwellpandas"
   },
   "language_info": {
    "codemirror_mode": {

_sources/api.rst.txt

@@ -1,7 +1,7 @@
 API Reference
 =============
 
-.. automodule:: pandalchemy.methods
+.. automodule:: seekwellpandas.methods
    :members:
    :undoc-members:
    :show-inheritance:

_sources/index.rst.txt

@@ -1,12 +1,11 @@
-Welcome to Pandalchemy's documentation!
+Welcome to seekwellpandas's documentation!
 =======================================
 
-Pandalchemy is a simple Python package that provides methods to query pandas DataFrames using a SQL-like synthax.
+seekwellpandas (SQL-pandas) is a simple Python package that provides methods to query pandas DataFrames using a SQL-like synthax.
 
 .. toctree::
    :maxdepth: 2
    :caption: Contents:
 
-   installation
    api
    _examples/basic-usage