Update docs GIFs #19

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README.md

@@ -25,6 +25,10 @@ A function has been translated when it has been moved in a way that does not cha
 
 To visualize translations, we will use the function $f(x) = x^{2}$.
 
+<p align="center">
+  <img width="500" height="500" src="docs/source/img/function_x_squared.png">
+</p>
+
 ```python
 import curvipy
 
@@ -40,15 +44,14 @@ plotter.plot_curve(curve)
 plotter.wait()
 ```
 
-<p align="center">
-  <img width="500" height="500" src="docs/source/img/function_x_squared.png">
-</p>
-
-
 ### Horizontal Translation
 
 In a horizontal translation, the function is moved along the x-axis.
 
+<p align="center">
+  <img width="500" height="500" src="docs/source/img/horizontal_translation.png">
+</p>
+
 ```python
 import curvipy
 
@@ -80,14 +83,14 @@ plotter.plot_curve(curvipy.Function(m, interval))
 plotter.wait()
 ```
 
-<p align="center">
-  <img width="500" height="500" src="docs/source/img/horizontal_translation.gif">
-</p>
-
 ### Vertical Translation
 
 In a horizontal translation, the function is moved along the y-axis.
 
+<p align="center">
+  <img width="500" height="500" src="docs/source/img/vertical_translation.png">
+</p>
+
 ```python
 import curvipy
 
@@ -118,10 +121,6 @@ plotter.plot_curve(curvipy.Function(m, interval))
 plotter.wait()
 ```
 
-<p align="center">
-  <img width="500" height="500" src="docs/source/img/vertical_translation.gif">
-</p>
-
 ## Linear transformations
 
 A linear transformation $f$ is a mapping between two vector spaces
@@ -154,6 +153,10 @@ $$
 
 transforms the function $f(x) =\frac{x}{2}\sin(x)$.
 
+<p align="center">
+  <img width="500" height="500" src="docs/source/img/transformation_matrix.png">
+</p>
+
 ```python
 import math
 import curvipy
@@ -180,10 +183,6 @@ plotter.plot_curve(transformed_curve)
 plotter.wait()
 ```
 
-<p align="center">
-  <img width="500" height="500" src="docs/source/img/transformation_matrix.gif">
-</p>
-
 As you can see above, the matrix $A$ rotates the function $f(x)$ ninety degree anticlockwise.
 
 **Note:**  `curvipy.TransformedCurve`
@@ -209,6 +208,10 @@ $$
 
 and see how they transform the curve $f(x) = x^{3}$.
 
+<p align="center">
+  <img width="500" height="500" src="docs/source/img/mat_multiplication_commutative_property.png">
+</p>
+
 ```python
 import curvipy
 
@@ -242,10 +245,6 @@ plotter.plot_curve(BA_transformed_curve)
 plotter.wait()
 ```
 
-<p align="center">
-  <img width="500" height="500" src="docs/source/img/mat_multiplication_commutative_property.gif">
-</p>
-
 As you can see above, transforming $f(x)$ with the matrix $AB$ gives a different result as transforming $f(x)$ with the matrix $BA$.
 
 You can also use numpy arrays to define **AB_transformed_curve** and **BA_transformed_curve** curves:

docs/source/introduction.md

@@ -25,6 +25,8 @@ A function has been translated when it has been moved in a way that does not cha
 
 To visualize translations, we will use the function {math}`f(x) = x^{2}`.
 
+![image](img/function_x_squared.png){width="500px" align=center}
+
 ```python
 import curvipy
 
@@ -40,12 +42,12 @@ plotter.plot_curve(curve)
 plotter.wait()
 ```
 
-![image](img/function_x_squared.png){width="500px" align=center}
-
 ### Horizontal Translation
 
 In a horizontal translation, the function is moved along the x-axis.
 
+![image](img/horizontal_translation.png){width="500px" align=center}
+
 ```python
 import curvipy
 
@@ -77,12 +79,12 @@ plotter.plot_curve(curvipy.Function(m, interval))
 plotter.wait()
 ```
 
-![image](img/horizontal_translation.gif){width="500px" align=center}
-
 ### Vertical Translation
 
 In a horizontal translation, the function is moved along the y-axis.
 
+![image](img/vertical_translation.png){width="500px" align=center}
+
 ```python
 import curvipy
 
@@ -113,8 +115,6 @@ plotter.plot_curve(curvipy.Function(m, interval))
 plotter.wait()
 ```
 
-![image](img/vertical_translation.gif){width="500px" align=center}
-
 ## Linear transformations
 
 A linear transformation {math}`f` is a mapping between two vector spaces
@@ -149,6 +149,8 @@ A = \begin{bmatrix}0 & -1\\1 & 0\end{bmatrix}
 
 transforms the function {math}`f(x) =\frac{x}{2}\sin(x)`.
 
+![image](img/transformation_matrix.png){width="500px" align=center}
+
 ```python
 import math
 import curvipy
@@ -175,8 +177,6 @@ plotter.plot_curve(transformed_curve)
 plotter.wait()
 ```
 
-![image](img/transformation_matrix.gif){width="500px" align=center}
-
 As you can see above, the matrix {math}`A` rotates the function {math}`f(x)` ninety degree anticlockwise.
 
 ```{note} 
@@ -196,6 +196,8 @@ A = \begin{bmatrix}0 & -1\\1 & 0\end{bmatrix} \text{and } B =\begin{bmatrix}1 &
 
 and see how they transform the curve {math}`f(x) = x^{3}`.
 
+![image](img/mat_multiplication_commutative_property.png){width="500px" align=center}
+
 ```python
 import curvipy
 
@@ -229,8 +231,6 @@ plotter.plot_curve(BA_transformed_curve)
 plotter.wait()
 ```
 
-![image](img/mat_multiplication_commutative_property.gif){width="500px" align=center}
-
 As you can see above, transforming {math}`f(x)` with the matrix {math}`AB` gives a different result as transforming {math}`f(x)` with the matrix {math}`BA`.
 
 You can also use numpy arrays to define **AB_transformed_curve** and **BA_transformed_curve** curves: