Add Apache Spark Parquet examples to README and guides

This commit includes references to a new example showcasing data and ML model export from Apache Spark using Parquet files. Updates were made to both the README and guides section, highlighting visualization with Kandy and integration details.

Author: zaleslaw

docs/StardustDocs/topics/guides/Guides-And-Examples.md

@@ -105,6 +105,10 @@ Explore our extensive collection of practical examples and real-world analytics
   — analyze IMDb data stored in MariaDB using Kotlin DataFrame
   and visualize with [Kandy](https://kotlin.github.io/kandy/).
 
+* [Reading Parquet files from Apache Spark](https://github.com/Kotlin/dataframe/tree/master/examples/idea-examples/spark-parquet-dataframe)
+  — this project showcases how to export data and ML models from Apache Spark via reading from Parquet files. 
+Also, [Kandy](https://kotlin.github.io/kandy/) used to visualize the exported data and Linear Regression model.
+
 See also [Kandy User Guides](https://kotlin.github.io/kandy/user-guide.html)
 and [Examples Gallery](https://kotlin.github.io/kandy/examples.html)
 for the best data visualizations using Kotlin DataFrame and Kandy together!

examples/README.md

@@ -11,11 +11,14 @@ Also includes [Kotlin DataFrame Compiler Plugin](https://kotlin.github.io/datafr
 * [json](idea-examples/json) Using OpenAPI support in DataFrame's Gradle and KSP plugins to access data from [API guru](https://apis.guru/) in a type-safe manner
 * [imdb sql database](https://github.com/zaleslaw/KotlinDataFrame-SQL-Examples) This project prominently showcases how to convert data from an SQL table to a Kotlin DataFrame 
 and how to transform the result of an SQL query into a DataFrame.
+* [spark-parquet-dataframe](idea-examples/spark-parquet-dataframe) This project showcases how to export data and ML models from Apache Spark via reading from Parquet files.
 * [unsupported-data-sources](idea-examples/unsupported-data-sources) Showcases of how to use DataFrame with
   (momentarily) unsupported data libraries such as [Spark](https://spark.apache.org/) and [Exposed](https://github.com/JetBrains/Exposed).
 They show how to convert to and from Kotlin DataFrame and their respective tables.
   * **JetBrains Exposed**: See the [exposed folder](./idea-examples/unsupported-data-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/examples/exposed)
     for an example of using Kotlin DataFrame with [Exposed](https://github.com/JetBrains/Exposed).
+  * **Hibernate**: See the [hibernate folder](./idea-examples/unsupported-data-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/examples/hibernate)
+    for an example of using Kotlin DataFrame with [Hibernate](https://hibernate.org/orm/).
   * **Apache Spark**: See the [spark folder](./idea-examples/unsupported-data-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/examples/spark)
     for an example of using Kotlin DataFrame with [Spark](https://spark.apache.org/).
   * **Spark (with Kotlin Spark API)**: See the [kotlinSpark folder](./idea-examples/unsupported-data-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/examples/kotlinSpark)