diff --git a/bkp/blogs/ibis-framework/index.ipynb b/bkp/blogs/ibis-framework/index.ipynb
index cd42b9e06..be324e348 100644
--- a/bkp/blogs/ibis-framework/index.ipynb
+++ b/bkp/blogs/ibis-framework/index.ipynb
@@ -84,10 +84,10 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "import matplotlib.pyplot as plt\n",
-    "import pandas as pd\n",
     "import sqlite3\n",
-    "import ibis"
+    "\n",
+    "import ibis\n",
+    "import matplotlib.pyplot as plt"
    ]
   },
   {
diff --git a/pages/blog/console-based-representation-in-astx/index.ipynb b/pages/blog/console-based-representation-in-astx/index.ipynb
index ca10bcd84..c012793f7 100644
--- a/pages/blog/console-based-representation-in-astx/index.ipynb
+++ b/pages/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"
    ]
   },
   {
diff --git a/pages/blog/console-based-representation-in-astx/index.md b/pages/blog/console-based-representation-in-astx/index.md
index 6f90940c4..fb4cbef10 100644
--- a/pages/blog/console-based-representation-in-astx/index.md
+++ b/pages/blog/console-based-representation-in-astx/index.md
@@ -54,9 +54,9 @@ The first thing to do is, in your Jupyter Notebook instance, import `display`, w
 
 ```python
 # import display for AST visualization
-from IPython.display import display
-from astx.viz import traverse_ast_ascii, graph_to_ascii
 import astx
+
+from astx.viz import graph_to_ascii, traverse_ast_ascii
 ```
 
 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.
diff --git a/pages/blog/scaling-machine-learning-projects-with-dask/index.ipynb b/pages/blog/scaling-machine-learning-projects-with-dask/index.ipynb
index fe61d8e83..f44c83861 100644
--- a/pages/blog/scaling-machine-learning-projects-with-dask/index.ipynb
+++ b/pages/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",
diff --git a/pages/blog/scaling-machine-learning-projects-with-dask/index.md b/pages/blog/scaling-machine-learning-projects-with-dask/index.md
index f113f0b5b..209f930ae 100644
--- a/pages/blog/scaling-machine-learning-projects-with-dask/index.md
+++ b/pages/blog/scaling-machine-learning-projects-with-dask/index.md
@@ -136,8 +136,8 @@ print(result.compute())  # Outputting the computed result
 ```python
 #Lazy Evalution with dask
 import dask.dataframe as dd
-import pandas as pd
 import numpy as np
+import pandas as pd
 
 # Creating a dummy dataset
 num_rows = 100  # Number of rows
@@ -230,6 +230,7 @@ print(y_dask.compute())
 # Dynamic task scheduling with Dask
 import dask
 
+
 @dask.delayed
 def square(x):
     return x * x
diff --git a/pages/blog/streamlining-project-automation-with-makim/index.ipynb b/pages/blog/streamlining-project-automation-with-makim/index.ipynb
index 4c613a61f..dbca96736 100644
--- a/pages/blog/streamlining-project-automation-with-makim/index.ipynb
+++ b/pages/blog/streamlining-project-automation-with-makim/index.ipynb
@@ -92,6 +92,7 @@
    "outputs": [],
    "source": [
     "import os\n",
+    "\n",
     "os.environ[\"NO_COLOR\"] = \"1\""
    ]
   },
diff --git a/pages/blog/streamlining-project-automation-with-makim/index.md b/pages/blog/streamlining-project-automation-with-makim/index.md
index 5e93c4d4d..03f6868fc 100644
--- a/pages/blog/streamlining-project-automation-with-makim/index.md
+++ b/pages/blog/streamlining-project-automation-with-makim/index.md
@@ -61,6 +61,7 @@ For this tutorial, we will disable the output color feature provided by typer, t
 
 ```python
 import os
+
 os.environ["NO_COLOR"] = "1"
 ```
 
diff --git a/pages/blog/unlocking-the-power-of-multiple-dispatch-in-python-with-plum-dispatch/index.ipynb b/pages/blog/unlocking-the-power-of-multiple-dispatch-in-python-with-plum-dispatch/index.ipynb
index 14c9080f6..b201f1fd0 100644
--- a/pages/blog/unlocking-the-power-of-multiple-dispatch-in-python-with-plum-dispatch/index.ipynb
+++ b/pages/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",
diff --git a/pages/blog/unlocking-the-power-of-multiple-dispatch-in-python-with-plum-dispatch/index.md b/pages/blog/unlocking-the-power-of-multiple-dispatch-in-python-with-plum-dispatch/index.md
index a02aee757..609ce5fb9 100644
--- a/pages/blog/unlocking-the-power-of-multiple-dispatch-in-python-with-plum-dispatch/index.md
+++ b/pages/blog/unlocking-the-power-of-multiple-dispatch-in-python-with-plum-dispatch/index.md
@@ -41,6 +41,7 @@ To demonstrate the basic usage of `plum-dispatch`, let's start with a simple exa
 ```python
 from plum import dispatch
 
+
 class Processor:
     @dispatch
     def process(self, data: int):
diff --git a/pages/projects/list/index.md b/pages/projects/list/index.md
index 615f750e2..df58b8a87 100644
--- a/pages/projects/list/index.md
+++ b/pages/projects/list/index.md
@@ -170,7 +170,7 @@ projects:
     type: incubated
     maintainer_name: Ivan Ogasawara
     maintainer_email: ivan.ogasawara@gmail.com
-    url: https://osl-incubator.github.io/sugar/
+    url: https://sugar-org.github.io/sugar/
     communication_channel:
       provider: discord
       url: https://opensciencelabs.org/discord
@@ -178,6 +178,17 @@ projects:
       Sugar aims to organize your stack of containers, gathering some useful scripts
       and keeping this information centralized in a configuration file. So the command
       line would be very simple.
+
+  - name: swarm-external-secrets
+    type: incubated
+    maintainer_name: Sai Sanjay
+    maintainer_email: saisanjay7660@gmail.com
+    url: https://sugar-org.github.io/swarm-external-secrets/
+    communication_channel:
+      provider: discord
+      url: https://opensciencelabs.org/discord
+    description: |
+      A Docker Swarm secrets plugin that integrates with multiple secret management providers including HashiCorp Vault, AWS Secrets Manager, Azure Key Vault, and OpenBao.
 ---
 
 # Affiliated and Incubated Projects