docs: less bold in jupyter tutorial

solara/website/pages/docs/content/04-tutorial/_jupyter_dashboard_1.ipynb

@@ -7,12 +7,12 @@
    "source": [
     "# Build your Jupyter dashboard using Solara\n",
     "\n",
-    "Welcome to **the** first part of a series of tutorial**s** that will show you how to create a dashboard in Jupyter and deploy it as a standalone web **app**. **Importantly, there will be** no need to rewrite your app in a different framework, no need to use a non-Python solution, **and** no need to use JavaScript or CSS.\n",
+    "Welcome to the first part of a series of tutorials that will show you how to create a dashboard in Jupyter and deploy it as a standalone web app. Importantly, there will be no need to rewrite your app in a different framework, no need to use a non-Python solution, and no need to use JavaScript or CSS.\n",
     "\n",
-    "Jupyter notebooks are an incredible tool for data analysis, **since they enable** blending code, visualization and narrative in**to** a single document.\n",
+    "Jupyter notebooks are an incredible tool for data analysis, since they enable blending code, visualization and narrative into a single document.\n",
     "However, if the insights need to be presented to a non-technical audience, we usually do not want to show the code.\n",
     "\n",
-    "In this tutorial, we will create a simple dashboard using Solara's UI components. **The final product will** allow an end-user to filter,\n",
+    "In this tutorial, we will create a simple dashboard using Solara's UI components. The final product will allow an end-user to filter,\n",
     "visualize and explore a dataset on a map.\n",
     "\n",
     "![image](/static/public/docs/tutorial/jupyter-dashboard1.jpg)\n",
@@ -33,7 +33,7 @@
     "\n",
     "## The start\n",
     "\n",
-    "We will use a subsample of the [San Fanfrisco crime dataset](https://www.kaggle.com/competitions/sf-crime/data) which **contains information on types of crimes and where they were committed**.\n",
+    "We will use a subsample of the [San Fanfrisco crime dataset](https://www.kaggle.com/competitions/sf-crime/data) which contains information on types of crimes and where they were committed.\n",
     "\n",
     "[Download the CSV file](https://raw.githubusercontent.com/widgetti/solara/master/solara/website/pages/docs/content/04-tutorial/SF_crime_sample.csv.gz) if you want to run this locally, or let the code below sort it out."
    ]
@@ -365,7 +365,7 @@
    "id": "08a9644a",
    "metadata": {},
    "source": [
-    "The data looks clean but since we will work with the `Category` and `PdDistrict` column data, lets **convert those columns to title case**."
+    "The data looks clean but since we will work with the `Category` and `PdDistrict` column data, lets convert those columns to title case."
    ]
   },
   {
@@ -676,7 +676,7 @@
    "id": "62df988f",
    "metadata": {},
    "source": [
-    "Using proper software engineering practices, we write a function that filter**s** a dataframe to contain only the rows that match our chosen districts and categories."
+    "Using proper software engineering practices, we write a function that filters a dataframe to contain only the rows that match our chosen districts and categories."
    ]
   },
   {
@@ -940,7 +940,7 @@
    "source": [
     "## The final dashboard\n",
     "\n",
-    "We now have two parts of our UI in separate cells. This can be an amazing experience when developing **in a** notebook, as it flows **naturally** in the data exploration process while writing your notebook.\n",
+    "We now have two parts of our UI in separate cells. This can be an amazing experience when developing in a notebook, as it flows naturally in the data exploration process while writing your notebook.\n",
     "\n",
     "However, your end user will probably want something more coherent. The components we created are perfectly re-usable, so we put them together in a single UI."
    ]
@@ -967,7 +967,7 @@
    "source": [
     "## Conclusions\n",
     "\n",
-    "Using Solara, you created an interactive dashboard **within a** Jupyter notebook. Your Solara components are declarative, and **when** using reactive variables also reactive. **Whether** you change a reactive variables via code or the UI elements, your visualizations and map update automatically.\n",
+    "Using Solara, you created an interactive dashboard within a Jupyter notebook. Your Solara components are declarative, and when using reactive variables also reactive. Whether you change a reactive variables via code or the UI elements, your visualizations and map update automatically.\n",
     "\n",
     "Your dashboard prototype now runs in your Jupyter notebook environment, but we still have a few steps to we want to take. In our next tutorial, we will focus on deploying our notebook, without making any code changes. In our third tutorial we will expand our dashboard with a few more components and focus on creating a more advanced layout.\n",
     "\n",