diff --git a/docs/tutorials/.ipynb_checkpoints/tutorials-checkpoint.ipynb b/docs/tutorials/.ipynb_checkpoints/tutorials-checkpoint.ipynb
index 0707861..b5c85fd 100644
--- a/docs/tutorials/.ipynb_checkpoints/tutorials-checkpoint.ipynb
+++ b/docs/tutorials/.ipynb_checkpoints/tutorials-checkpoint.ipynb
@@ -25,7 +25,7 @@
    "source": [
     "## Math\n",
     "\n",
-    "The math module in Python offers functions for basic mathematical operations, such as trigonometry, logarithms, and constants like pi and e. It’s ideal for simple calculations without the need for more complex libraries like NumPy.\n",
+    "The math module in Python offers functions for basic mathematical operations, such as trigonometry, logarithms, and constants like pi and e. It is ideal for simple calculations without the need for more complex libraries like NumPy.\n",
     "\n",
     "* [**Math** : Python Math Module](https://www.geeksforgeeks.org/python-math-module/)"
    ]
@@ -37,7 +37,7 @@
    "source": [
     "## Matplotlib\n",
     "\n",
-    "Matplotlib is a powerful Python library for creating a wide range of static, animated, and interactive plots. It's ideal for generating visualizations like line charts, scatter plots, and histograms.\n",
+    "Matplotlib is a powerful Python library for creating a wide range of static, animated, and interactive plots. It is ideal for generating visualizations like line charts, scatter plots, and histograms.\n",
     "\n",
     "* [**Matplotlib** : Quick Start Guide](https://matplotlib.org/stable/users/explain/quick_start.html)"
    ]
@@ -109,7 +109,7 @@
    "source": [
     "## Vega-Altair\n",
     "\n",
-    "Vega-Altair is a library for creating interactive and statistical visualizations. Vega-Altair enables users to create complex charts with concise, declarative syntax. It's especially well-suited for exploratory data analysis and visualizing data directly from Pandas DataFrames, offering a wide range of chart types and easy interactivity.\n",
+    "Vega-Altair is a library for creating interactive and statistical visualizations. Vega-Altair enables users to create complex charts with concise, declarative syntax. It is especially well-suited for exploratory data analysis and visualizing data directly from Pandas DataFrames, offering a wide range of chart types and easy interactivity.\n",
     "\n",
     "* [**Vega-Altair** : User Guide](https://altair-viz.github.io/user_guide/data.html)"
    ]
diff --git a/docs/tutorials/tutorials.ipynb b/docs/tutorials/tutorials.ipynb
index 0707861..b5c85fd 100644
--- a/docs/tutorials/tutorials.ipynb
+++ b/docs/tutorials/tutorials.ipynb
@@ -25,7 +25,7 @@
    "source": [
     "## Math\n",
     "\n",
-    "The math module in Python offers functions for basic mathematical operations, such as trigonometry, logarithms, and constants like pi and e. It’s ideal for simple calculations without the need for more complex libraries like NumPy.\n",
+    "The math module in Python offers functions for basic mathematical operations, such as trigonometry, logarithms, and constants like pi and e. It is ideal for simple calculations without the need for more complex libraries like NumPy.\n",
     "\n",
     "* [**Math** : Python Math Module](https://www.geeksforgeeks.org/python-math-module/)"
    ]
@@ -37,7 +37,7 @@
    "source": [
     "## Matplotlib\n",
     "\n",
-    "Matplotlib is a powerful Python library for creating a wide range of static, animated, and interactive plots. It's ideal for generating visualizations like line charts, scatter plots, and histograms.\n",
+    "Matplotlib is a powerful Python library for creating a wide range of static, animated, and interactive plots. It is ideal for generating visualizations like line charts, scatter plots, and histograms.\n",
     "\n",
     "* [**Matplotlib** : Quick Start Guide](https://matplotlib.org/stable/users/explain/quick_start.html)"
    ]
@@ -109,7 +109,7 @@
    "source": [
     "## Vega-Altair\n",
     "\n",
-    "Vega-Altair is a library for creating interactive and statistical visualizations. Vega-Altair enables users to create complex charts with concise, declarative syntax. It's especially well-suited for exploratory data analysis and visualizing data directly from Pandas DataFrames, offering a wide range of chart types and easy interactivity.\n",
+    "Vega-Altair is a library for creating interactive and statistical visualizations. Vega-Altair enables users to create complex charts with concise, declarative syntax. It is especially well-suited for exploratory data analysis and visualizing data directly from Pandas DataFrames, offering a wide range of chart types and easy interactivity.\n",
     "\n",
     "* [**Vega-Altair** : User Guide](https://altair-viz.github.io/user_guide/data.html)"
    ]