Fix: Handled Typo errors in readme.md file (#1940)

README.md

@@ -16,22 +16,20 @@ Build Python Data & AI web applications
 
 <div align="center">
 From simple pilots to production-ready web applications in no time. <br />
-No more compromise on performance, customization, and scalability.
+No more compromises on performance, customization, and scalability.
 </div>
 
 <br />
 
 <div align="center">
-
 **Go beyond existing libraries**
-
 </div>
 
 <p align="center"><h4>
     <br />
-    <a href="https://docs.taipy.io/en/latest/"><strong>📚 Explore the docs </strong></a>
+    <a href="https://docs.taipy.io/en/latest/"><strong>📚 Explore the Docs </strong></a>
     <br />
-    <a href="https://discord.com/invite/SJyz2VJGxV"><strong>  🫱🏼‍🫲🏼 Discord support </strong></a>
+    <a href="https://discord.com/invite/SJyz2VJGxV"><strong>  🫱🏼‍🫲🏼 Discord Support </strong></a>
     <br />
     <a href="https://docs.taipy.io/en/latest/gallery/"><strong> 👀 Demos & Examples </strong></a>
 </h4>
@@ -57,8 +55,8 @@ Taipy is designed for data scientists and machine learning engineers to build da
 &nbsp;
 
 ⭐️ Enables building production-ready web applications. <br />
-⭐️ No need to learn new languages. Only Python is needed.<br />
-⭐️ Concentrate on Data and AI algorithms without development and deployment complexities.<br />
+⭐️ No need to learn new languages; only Python is needed.<br />
+⭐️ Concentrate on data and AI algorithms without the complexities of development and deployment.<br />
 
 &nbsp;
 
@@ -83,19 +81,19 @@ Taipy is a Two-in-One Tool for UI Generation and Scenario/Data Management
 
 ## ⚙️ Quickstart
 
-To install the Taipy stable release run:
+To install the stable release of Taipy, run:
 
 ```bash
 pip install taipy
 ```
 
 
-Ready to Install Taipy? 🚀<br>
+**Ready to Install Taipy?** 🚀<br>
 Get everything set up in no time! Whether you're using a Conda environment or installing from
 source, follow our [Installation Guide](https://docs.taipy.io/en/latest/installation/) for
-step-by-step instructions.<br/>
+step-by-step instructions.<br>
 
-Excited to Dive In? 💡 <br>
+**Excited to Dive In?** 💡 <br>
 Start building with Taipy today! Our
 [Getting Started Guide](https://docs.taipy.io/en/latest/tutorials/getting_started/) is the
 perfect place to begin your journey and unlock the full potential of Taipy.
@@ -111,12 +109,12 @@ It then displays the top seven most popular movies in that genre.
 
 <br />
 
-> ⚠️ Keep in mind, in this example, we're using a very basic pipeline that consists of just one task. However,<br />
+> ⚠️ Keep in mind that in this example, we're using a very basic pipeline that consists of just one task. However,<br />
 > Taipy is capable of handling much more complex pipelines 🚀
 
 <br />
 
-Below is our filter function. This is a typical Python function and it's the only task used in this scenario.
+Below is our filter function. This is a typical Python function, and it's the only task used in this scenario.
 
 ```python
 def filter_genre(initial_dataset: pd.DataFrame, selected_genre):
@@ -125,7 +123,7 @@ def filter_genre(initial_dataset: pd.DataFrame, selected_genre):
     return filtered_data
 ```
 
-This is the execution graph of the scenario we are implementing
+This is the execution graph of the scenario we are implementing:
 
 <p align="center">
 <img src="https://github.com/Avaiga/taipy/raw/develop/readme_img/readme_exec_graph.png" width="600" align="center" />
@@ -133,12 +131,12 @@ This is the execution graph of the scenario we are implementing
 
 ### Taipy Studio
 
-You can use the Taipy Studio extension in Visual Studio Code to configure your scenario with no code<br />
+You can use the Taipy Studio extension in Visual Studio Code to configure your scenario with no code.<br />
 Your configuration is automatically saved as a TOML file.<br />
-Check out Taipy Studio [Documentation](https://docs.taipy.io/en/latest/manuals/studio/)
+Check out the Taipy Studio [Documentation](https://docs.taipy.io/en/latest/manuals/studio/).
 
 For more advanced use cases or if you prefer coding your configurations instead of using Taipy Studio,<br />
-Check out the movie genre demo scenario creation with this [Demo](https://docs.taipy.io/en/latest/gallery/other/movie_genre_selector/).
+check out the movie genre demo scenario creation with this [Demo](https://docs.taipy.io/en/latest/gallery/other/movie_genre_selector/).
 
 ![TaipyStudio](https://github.com/Avaiga/taipy/raw/develop/readme_img/readme_demo_studio.gif)
 
@@ -148,7 +146,7 @@ Check out the movie genre demo scenario creation with this [Demo](https://docs.t
 
 This simple Taipy application demonstrates how to create a basic film recommendation system using Taipy.<br />
 The application filters a dataset of films based on the user's selected genre and displays the top seven films in that genre by popularity.
-Here is the full code for both the front-end and back-end of the application.
+Here is the full code for both the front end and back end of the application.
 
 ```python
 import taipy as tp
@@ -192,8 +190,8 @@ if __name__ == "__main__":
 
     # Get the list of genres
     genres = [
-        "Action", "Adventure", "Animation", "Children", "Comedy", "Fantasy", "IMAX"
-        "Romance", "Sci-FI", "Western", "Crime", "Mystery", "Drama", "Horror", "Thriller", "Film-Noir", "War", "Musical", "Documentary"
+        "Action", "Adventure", "Animation", "Children", "Comedy", "Fantasy", "IMAX",
+        "Romance", "Sci-Fi", "Western", "Crime", "Mystery", "Drama", "Horror", "Thriller", "Film-Noir", "War", "Musical", "Documentary"
     ]
 
     # Initialization of variables
@@ -202,12 +200,12 @@ if __name__ == "__main__":
 
     # User interface definition
     my_page = """
-# Film recommendation
+# Film Recommendation
 
-## Choose your favorite genre
+## Choose Your Favorite Genre
 <|{selected_genre}|selector|lov={genres}|on_change=on_genre_selected|dropdown|>
 
-## Here are the top seven picks by popularity
+## Here are the Top Seven Picks by Popularity
 <|{df}|chart|x=Title|y=Popularity %|type=bar|title=Film Popularity|>
     """
 
@@ -223,9 +221,9 @@ And the final result:
 
 Want to help build Taipy? Check out our [**Contributing Guide**](https://github.com/Avaiga/taipy/blob/develop/CONTRIBUTING.md).
 
-## 🪄 Code of conduct
+## 🪄 Code of Conduct
 
-Want to be part of the Taipy community? Check out our **[Code of Conduct](https://github.com/Avaiga/taipy/blob/develop/CODE_OF_CONDUCT.md)**
+Want to be part of the Taipy community? Check out our **[Code of Conduct](https://github.com/Avaiga/taipy/blob/develop/CODE_OF_CONDUCT.md)**.
 
 ## 🪪 License