Update docs to 3.6.1

Author: JosepSampe

docs/_sources/index.rst

@@ -73,7 +73,7 @@ To start using Lithops:
 
       pip install lithops
 
-2. Configure your cloud credentials (see the full guide in :doc:`Configuration Guide <configuration>`)
+2. Configure your cloud credentials (see the :doc:`Configuration Guide <source/configuration>`)
 
 3. Write and run your first parallel job:
 

docs/_sources/source/comparing_lithops.rst

@@ -36,7 +36,6 @@ PySpark
 -------
 
 .. image:: https://upload.wikimedia.org/wikipedia/commons/thumb/f/f3/Apache_Spark_logo.svg/2560px-Apache_Spark_logo.svg.png
-   :align: center
    :width: 250
 
 `PySpark <https://spark.apache.org/docs/latest/api/python/>`_ is the Python interface for Apache Spark, a well-established distributed computing engine. Spark is typically deployed on a **static cluster of machines**, either on-premises or in cloud environments using HDFS or cloud-native file systems.
@@ -47,7 +46,6 @@ Serverless Framework
 --------------------
 
 .. image:: https://cdn.diegooo.com/media/20210606183353/serverless-framework-icon.png
-   :align: center
    :width: 250
 
 `Serverless Framework <https://www.serverless.com/>`_ is a deployment toolchain designed primarily for **building and deploying serverless web applications**, especially on AWS, GCP, and Azure. It is widely used to manage HTTP APIs, event-driven services, and infrastructure-as-code (IaC) for cloud-native apps.

docs/index.html

@@ -479,7 +479,7 @@ <h2>Get Started Quickly<a class="headerlink" href="#get-started-quickly" title="
 </pre></div>
 </div>
 </li>
-<li><p>Configure your cloud credentials (see the full guide in <span class="xref std std-doc">Configuration Guide</span>)</p></li>
+<li><p>Configure your cloud credentials (see the <a class="reference internal" href="source/configuration.html"><span class="doc">Configuration Guide</span></a>)</p></li>
 <li><p>Write and run your first parallel job:</p>
 <div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">lithops</span>
 

docs/searchindex.js

@@ -433,13 +433,13 @@ <h2>Ray and Dask<a class="headerlink" href="#ray-and-dask" title="Permalink to t
 </section>
 <section id="pyspark">
 <h2>PySpark<a class="headerlink" href="#pyspark" title="Permalink to this heading">#</a></h2>
-<a class="reference internal image-reference" href="https://upload.wikimedia.org/wikipedia/commons/thumb/f/f3/Apache_Spark_logo.svg/2560px-Apache_Spark_logo.svg.png"><img alt="https://upload.wikimedia.org/wikipedia/commons/thumb/f/f3/Apache_Spark_logo.svg/2560px-Apache_Spark_logo.svg.png" class="align-center" src="https://upload.wikimedia.org/wikipedia/commons/thumb/f/f3/Apache_Spark_logo.svg/2560px-Apache_Spark_logo.svg.png" style="width: 250px;" /></a>
+<a class="reference internal image-reference" href="https://upload.wikimedia.org/wikipedia/commons/thumb/f/f3/Apache_Spark_logo.svg/2560px-Apache_Spark_logo.svg.png"><img alt="https://upload.wikimedia.org/wikipedia/commons/thumb/f/f3/Apache_Spark_logo.svg/2560px-Apache_Spark_logo.svg.png" src="https://upload.wikimedia.org/wikipedia/commons/thumb/f/f3/Apache_Spark_logo.svg/2560px-Apache_Spark_logo.svg.png" style="width: 250px;" /></a>
 <p><a class="reference external" href="https://spark.apache.org/docs/latest/api/python/">PySpark</a> is the Python interface for Apache Spark, a well-established distributed computing engine. Spark is typically deployed on a <strong>static cluster of machines</strong>, either on-premises or in cloud environments using HDFS or cloud-native file systems.</p>
 <p>PySpark is optimized for <strong>batch analytics</strong> using DataFrames and SparkSQL, but it lacks native integration with FaaS models. Its operational model is not inherently elastic and requires continuous management of a Spark cluster, which may not align with modern, fully managed, or serverless computing paradigms.</p>
 </section>
 <section id="serverless-framework">
 <h2>Serverless Framework<a class="headerlink" href="#serverless-framework" title="Permalink to this heading">#</a></h2>
-<a class="reference internal image-reference" href="https://cdn.diegooo.com/media/20210606183353/serverless-framework-icon.png"><img alt="https://cdn.diegooo.com/media/20210606183353/serverless-framework-icon.png" class="align-center" src="https://cdn.diegooo.com/media/20210606183353/serverless-framework-icon.png" style="width: 250px;" /></a>
+<a class="reference internal image-reference" href="https://cdn.diegooo.com/media/20210606183353/serverless-framework-icon.png"><img alt="https://cdn.diegooo.com/media/20210606183353/serverless-framework-icon.png" src="https://cdn.diegooo.com/media/20210606183353/serverless-framework-icon.png" style="width: 250px;" /></a>
 <p><a class="reference external" href="https://www.serverless.com/">Serverless Framework</a> is a deployment toolchain designed primarily for <strong>building and deploying serverless web applications</strong>, especially on AWS, GCP, and Azure. It is widely used to manage HTTP APIs, event-driven services, and infrastructure-as-code (IaC) for cloud-native apps.</p>
 <p>Although both Lithops and Serverless Framework leverage <strong>serverless functions</strong>, their objectives are fundamentally different:</p>
 <ul class="simple">