diff --git a/content/data-science/concepts/jupyter-notebook-extensions/jupyter-notebook-extensions.md b/content/data-science/concepts/jupyter-notebook-extensions/jupyter-notebook-extensions.md
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----
-Title: 'Jupyter Notebook Extension'
-Description: 'Jupyter Notebook extensions are community-developed plugins that enhance the functionality, customization, and usability of Jupyter Notebooks.'
-Subjects:
-  - 'Data Visualization'
-  - 'Machine Learning'
-CatalogContent:
-  - 'paths/machine-learning-engineer'
-  - 'paths/visualize-data-with-python'
----
-
-**Jupyter Notebook extensions** are add-ons that enhance the functionality of the Jupyter Notebook interface. They allow users to customize and improve their experience by adding various features.
-
-## Examples of Jupyter Notebook Extensions
-
-1. **Code Folding**: The `jupyter_fold` extension helps users focus on specific sections by enabling code cells to be folded and unfolded.
-2. **Spellchecking**: The `spellchecker` extension highlights misspelt words in both code and Markdown cells.
-3. **Table of contents**: The `toc` extension automatically generates a table of contents based on Markdown headers, improving navigation within a notebook.
-
-## Installing Jupyter Notebook extensions
-
-The Jupyter Notebook extensions are available through the open-source package `jupyter_contrib_nbextensions`. This Python package provides several unofficial extensions designed to enhance Jupyter Notebook’s capabilities.
-
-To install it, run the following command:
-
-```shell
-pip install jupyter_contrib_nbextensions && jupyter contrib nbextension install --user
-```
-
-To add the `nbextensions` to the Jupyter server’s search directory, use:
-
-```shell
-jupyter contrib nbextension install
-```
-
-## Enabling/Disabling Extensions
-
-After installation, users need to enable specific extensions like this:
-
-```pseudo
-jupyter nbextension enable <extension-name>
-```
-
-And to disable:
-
-```pseudo
-jupyter nbextension disable <extension-name>
-```
diff --git a/content/javascript/concepts/window/terms/resizeTo/resizeTo.md b/content/javascript/concepts/window/terms/resizeTo/resizeTo.md
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----
-Title: '.resizeTo()'
-Description: 'Resizes the browser window to the width and height specified in pixels.'
-Subjects:
-  - 'Web Development'
-  - 'Computer Science'
-Tags:
-  - 'Arguments'
-  - 'Functions'
-  - 'Parameters'
-CatalogContent:
-  - 'introduction-to-javascript'
-  - 'paths/front-end-engineer-career-path'
----
-
-The **`.resizeTo()`** function in JavaScript modifies the browser window’s dimensions based on the specified width and height values in pixels.
-
-## Syntax
-
-```pseudo
-window.resizeTo(width, height);
-```
-
-- `width`: Defines the new width of the window in pixels.
-- `height`: Defines the new height of the window in pixels.
-
-## Example
-
-The example below demonstrates the use of the `.resizeTo()` function:
-
-```js
-window.resizeTo(450, 300);
-```
-
-The above example will resize the window to a width of _450_ pixels and height of _300_ pixels.
diff --git a/content/javascript/concepts/window/terms/scrollTo/scrollTo.md b/content/javascript/concepts/window/terms/scrollTo/scrollTo.md
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----
-Title: '.scrollTo()'
-Description: 'Scrolls document to specified coordinate in pixels.'
-Subjects:
-  - 'Computer Science'
-  - 'Web Development'
-Tags:
-  - 'Arguments'
-  - 'Functions'
-  - 'Parameters'
-CatalogContent:
-  - 'introduction-to-javascript'
-  - 'paths/front-end-engineer-career-path'
----
-
-In JavaScript, **`.scrollTo()`** scrolls the window or document to a specified position in pixels.
-
-## Syntax
-
-```pseudo
-window.scrollTo(x, y)
-```
-
-- `x`: The horizontal coordinate (in pixels) to scroll to.
-- `y`: The vertical coordinate (in pixels) to scroll to.
-
-Or, alternatively:
-
-```pseudo
-window.scrollTo(options)
-```
-
-- `options`: An object with the following optional properties:
-  - `left`: The horizontal scroll position in pixels.
-  - `top`: The vertical scroll position in pixels.
-  - `behavior`: Defines the scrolling behavior. Accepted values:
-    - `smooth`: Scrolls with an animation.
-    - `instant`: Scrolls immediately.
-    - `auto`: Uses the browser's default scrolling behavior.
-
-## Example 1
-
-The code below scrolls the window to _298_ pixels from the left (x-axis) and _57_ pixels from the top (y-axis) using absolute coordinates:
-
-```js
-window.scrollTo(298, 57);
-```
-
-## Example 2
-
-The code below scrolls the window smoothly to _57_ pixels from the top (y-axis) and _298_ pixels from the left (x-axis) using the options object:
-
-```js
-window.scrollTo({
-  top: 57,
-  left: 298,
-  behavior: 'smooth',
-});
-```
diff --git a/content/plotly/concepts/graph-objects/terms/carpet/carpet.md b/content/plotly/concepts/graph-objects/terms/carpet/carpet.md
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+---
+Title: '.Carpet()'
+Description: 'Creates a grid-based reference for visualizing data in a non-Cartesian coordinate system.'
+Subjects:
+  - 'Data Science'
+  - 'Data Visualization'
+Tags:
+  - 'Data'
+  - 'Data Visualization'
+  - 'Finance'
+  - 'Graphs'
+  - 'Plotly'
+CatalogContent:
+  - 'learn-python-3'
+  - 'paths/data-visualization'
+---
+
+The **`.Carpet()`** function in Plotly is used to create a carpet plot, which provides a grid-based reference for visualizing the relationship between one or more independent variables and one or more dependent variables in a two-dimensional, non-Cartesian coordinate system.
+
+## Syntax
+
+```pseudo
+plotly.graph_objects.Carpet(a=None,b=None,x=None, y=None, ...)
+
+```
+
+- `a`: First independent variable values as an array.
+- `b`: Second independent variable values as an array.
+- `x` (optional): Specifies the x-coordinates of the carpet grid in Cartesian space. If omitted, the plot becomes a cheater plot, and the x-axis is hidden by default.
+- `y` (optional): Specifies the y-coordinates of the carpet grid in Cartesian space.
+
+- The ellipses is an indication of optional paratemeters that can be added.
+
+## Example
+
+The example below demonstrates the use of `.Carpet()` function:
+
+```py
+from plotly import graph_objects as go
+
+
+fig = go.Figure(go.Carpet(
+    a = [4, 4, 4, 6.5, 6.5, 6.5, 5, 5, 5, 8, 8, 8],
+   b = [1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3],
+   y = [2, 3.5, 4, 3, 4.5, 5, 5.5, 6.5, 7.5, 8, 8.5, 10],
+))
+
+fig.show()
+```
+
+The above code generates the following output:
+
+![The output of the .Carpet() plot](../../../../../../media/carpet_plot.png)
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diff --git a/package.json b/package.json
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--- a/package.json
+++ b/package.json
@@ -40,5 +40,6 @@
     "validate-content-tree": "node .github/scripts/validate-content-tree.js"
   },
   "license": "UNLICENSED",
-  "version": "1.0.0"
+  "version": "1.0.0",
+  "packageManager": "yarn@1.22.22+sha512.a6b2f7906b721bba3d67d4aff083df04dad64c399707841b7acf00f6b133b7ac24255f2652fa22ae3534329dc6180534e98d17432037ff6fd140556e2bb3137e"
 }