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diff --git a/docs/usage/marks/index.md b/docs/usage/marks/index.md
index d4cfe06ca..94f7d6cfc 100644
--- a/docs/usage/marks/index.md
+++ b/docs/usage/marks/index.md
@@ -1 +1,34 @@
-# This docs does not exist yet!
+__Marks__ are the core plotting components (e.g. lines, bars, pie, scatter) etc. All `Marks` extend the [`Mark`](../../api/marks/#bqplot.marks.Mark) class. 
+__Marks__ take one or more _data_ attributes and _style_ attributes (styling, colors etc.). Most of these attributes are eventful (instances of __traitlets__). 
+
+For each data attribute a corresponding [`Scale`](../../api/scales.md) object needs to passed when constructing `Mark` objects, like so:
+
+```py title="Lines mark using Object Model"
+import bqplot as bq
+import numpy as np
+
+# data attributes
+x = np.linspace(-10, 10, 100)
+y = np.sin(x)
+
+# scales for each data attribute
+xs = bq.LinearScale()
+ys = bq.LinearScale()
+
+line = bq.Lines(x, y, scales={"x": xs, "y": ys})
+```
+
+A preferred approach is to use [__pyplot__](../pyplot.md) which sets meaningful defaults when constructing marks. __Most of the time you don't need to create scales explicitly__. Let's look at an example:
+
+```py title="Lines mark using pyplot"
+import bqplot as bq
+import numpy as np
+
+# data attributes
+x = np.linspace(-10, 10, 100)
+y = np.sin(x)
+
+line = plt.plot(x, y)
+```
+
+Take a look at specific mark documents for more details on customizing/rendering various marks in `bqplot`
\ No newline at end of file
diff --git a/docs/usage/marks/lines.md b/docs/usage/marks/lines.md
index d4cfe06ca..61c329fa5 100644
--- a/docs/usage/marks/lines.md
+++ b/docs/usage/marks/lines.md
@@ -1 +1,218 @@
-# This docs does not exist yet!
+The Lines mark provides the following features:
+
+* Plot a single or multiple arrays of y-values for a single or multiple arrays of x-values
+* Style the line mark in different ways, by setting different attributes such as the colors, line_style, markers, stroke_width etc.
+* Specify a marker at each point passed to the line. The marker can be a shape which is at the data points between which the line is interpolated and can be set through the `marker` attribute
+* Fill lines with colors (in-between or below) to create __area__ charts
+
+### Attributes
+
+#### [Data Attributes](../../../api/marks/#bqplot.marks.Lines--data-attributes)
+
+#### [Style Attributes](../../../api/marks/#bqplot.marks.Lines--style-attributes)
+!!! tip "Note"
+    Lines are implemented as __multi-line__ charts by default. Hence, style attributes like `colors`, `opacities` etc. are lists not strings!
+
+### Line Styling
+Following line styling options are supported:
+
+* `colors`: color the line with a specific color. Note that `colors` is a list which supports multi-line charts by default!
+* `line_style`: Following styling options are supported: {__solid__, __dashed__, __dotted__, __dash_dotted__}
+* `marker`: Following marker options are supported: {__circle__, __cross__, __diamond__, __square__, __triangle-down__, __triangle-up__, __arrow__, __rectangle__, __ellipse__, __plus__, __crosshair__, __point__}
+
+Let's now look at examples of constructing lines using `pyplot` API
+
+### pyplot
+The function for plotting lines is `pyplot` is `plt.plot`. It takes three arguments:
+
+1. __x__ vector of x values
+2. __y__ vector of y values. For multi-line chart `y` should be a list of arrays or a 2-d array
+3. __marker_str__ _matplotlib_ style [marker strings](#marker-strings) for styling the lines
+
+For further customization, any of the attributes above can be passed as keyword args.
+
+### Code Examples
+#### Simple Line Chart
+```py
+import bqplot.pyplot as plt
+import numpy as np
+
+fig = plt.figure()
+
+x = np.arange(-10, 10, .1)
+y = np.sin(x)
+line = plt.plot(x, y)
+fig
+```
+![plot](../../assets/images/lines-image1.png)
+
+
+Attributes can be updated in separate notebook cells or in callbacks when an event is triggered!
+```py
+# update the line color and opacity
+line.colors = ["red"]
+line.opacities = [.5]
+```
+!!! tip "In Place Updates"
+    The output cell containing the chart will be automatically updated whenever the figure or mark attributes are updated! The figure or marks should __never__ be recreated!
+
+#### Multi Line Chart
+To generate a multi-line chart `y` should be a __list__ of arrays or a 2d numpy array.
+```py hl_lines="7"
+import bqplot.pyplot as plt
+import numpy as np
+
+fig = plt.figure()
+
+x = np.arange(10)
+y = [x ** 2, x ** 2 + 5 * x]
+line = plt.plot(x, y)
+fig
+```
+![plot](../../assets/images/lines-image2.png)
+
+#### Time Series
+If the dates are of type `numpy.datetime64` then `pyplot` automatically infers a date scale for the `x` attribute. Otherwise a `DateScale` need to be explcitly specified using the `plt.scales` function
+
+```py title="Time Series" hl_lines="12"
+import bqplot as bq
+import pandas as pd
+
+import bqplot.pyplot as plt
+import numpy as np
+
+x = pd.date_range(start="2022-01-01", periods=100)
+y = np.random.randn(100).cumsum()
+
+fig = plt.figure(title="Time Series")
+# create a date scale for x (not needed if dates are numpy.datetime64)
+plt.scales(scales={"x": bq.DateScale()})
+time_series_line = plt.plot(x, y, "r", stroke_width=1,
+                            fill="bottom", # (1)!
+                            fill_colors=["red"],
+                            fill_opacities=[.4]))
+fig
+```
+
+1. Adds a __fill__ below the line
+
+![plot](../../assets/images/lines-image3.png)
+
+
+#### Marker Strings
+`pyplot` supports the following marker strings a la `matplotlib`.  Marker strings can be passed as a __third argument__ in `plt.plot` function.
+Following codes are supported:
+
+##### Color
+
+| **Code** | **Value**  |
+|--|--|
+|__b__|blue|
+|__g__|green|
+|__r__|red|
+|__c__|cyan|
+|__m__|magenta|
+|__y__|yellow|
+|__k__|black|
+
+##### Line Style
+| **Code** | **Value**  |
+|--|--|
+|__:__|dotted|
+|__-.__|dash_dotted|
+|__--__|dashed|
+|__-__|solid|
+
+
+##### Marker
+| **Code** | **Value**  |
+|--|--|
+|__o__|circle|
+|__v__|triangle-down|
+|__^__|triangle-up|
+|__s__|square|
+|__d__|diamond|
+|__+__|+|
+|__p__|cross|
+|__x__|plus|
+|__.__|crosshair|
+
+To create a marker string you can combine the one or more of the the three types of codes above in any order, like so:
+
+Let's look at a code example:
+```py hl_lines="4"
+fig = plt.figure()
+x = np.arange(10)
+y = 5 * x + 6
+styled_line = plt.plot(x, y, "ms:") # (1)!
+fig
+```
+
+1. Magenta dotted line with a square marker
+
+![plot](../../assets/images/lines-image4.png)
+
+!!! tip "Few more examples of marker strings"
+    * __ms__ magenta line with square marker
+    * __yo__ yellow line with circle marker
+    * __--__ dashed line
+    * __-.d__ dash-dotted line with diamond marker
+    * __g+:__ green dotted line with plus marker
+
+#### Legends
+To display legends you need to set the following attributes of `plt.plot` function:
+
+1. `labels`
+2. `display_legend`
+
+Let's look an example:
+```py hl_lines="7 8"
+fig = plt.figure(title="Random Walks")
+x = np.arange(100)
+# three random walks
+y = np.random.randn(3, 100).cumsum(axis=1)
+lines = plt.plot(
+    x, y,
+    labels=["Line1", "Line2", "Line 3"],
+    display_legend=True
+)
+fig
+```
+![plot](../../assets/images/lines-image5.png)
+
+
+!!! tip "Legend Location"
+    Location of the legend can be configured by setting the attribute `legend_location` in the `figure` constructor, like so:
+    ```py
+    fig = plt.figure(legend_location="top-left")
+    ```
+#### Area Charts
+Area charts can be constructed from line charts by passing in the following attributes:
+
+* `fill`
+* `fill_color`
+* `fill_opacities`
+
+```py hl_lines="12 13"
+import bqplot as bq
+import numpy as np
+
+fig = plt.figure(title="Stacked Area Chart")
+x = np.arange(100)
+y1 = np.random.randn(100).cumsum() + 10
+y2 = y1 + np.random.rand(100) * 5
+y3 = y2 + np.random.rand(100) * 5
+y4 = y3 + np.random.rand(100) * 5
+
+lines = plt.plot(x, [y1, y2, y3, y4], stroke_width=0,
+                 fill="between",
+                 fill_opacities=[.8] * 4)
+fig
+```
+![plot](../../assets/images/lines-image6.png)
+
+### Example Notebooks
+For detailed examples of plotting lines, refer to the following example notebooks:
+
+1. [pyplot](https://github.com/bqplot/bqplot/blob/master/examples/Marks/Pyplot/Lines.ipynb)
+2. [Object Model](https://github.com/bqplot/bqplot/blob/master/examples/Marks/Object%20Model/Lines.ipynb)
\ No newline at end of file
diff --git a/mkdocs.yml b/mkdocs.yml
index 5bb1370d5..099d44e2b 100644
--- a/mkdocs.yml
+++ b/mkdocs.yml
@@ -11,14 +11,14 @@ theme:
     homepage: https://bqplot.github.io/bqplot
   palette:
     - scheme: default
-      primary: red
-      accent: red
+      primary: pink
+      accent: pink
       toggle:
         icon: material/brightness-7
         name: Switch to dark mode
     - scheme: slate
-      primary: red
-      accent: red
+      primary: pink
+      accent: pink
       toggle:
         icon: material/brightness-4
         name: Switch to light mode
@@ -88,5 +88,4 @@ nav:
       - Toolbar: api/toolbar.md
       - Interactions: api/interactions.md
       - MarketMap: api/market_map.md
-      
-    - Contributing: contributing.md
+    - Contributing: contributing.md
\ No newline at end of file