update topics navigation and verison to 1.0.0-beta2

Author: AndreiKingsley

README.md

@@ -39,7 +39,7 @@ You could find the following articles there:
 
 ### What's new
 
-1.0.0-Beta1: [Release notes](https://github.com/Kotlin/dataframe/releases/tag/v1.0.0-Beta1)
+1.0.0-Beta2: [Release notes](https://github.com/Kotlin/dataframe/releases/tag/v1.0.0-Beta2)
 
 Check out this [notebook with new features](examples/notebooks/feature_overviews/0.15/new_features.ipynb) in v0.15.
 
@@ -49,13 +49,13 @@ Here's a [compiler plugin demo project](https://github.com/koperagen/df-plugin-d
 ## Setup
 
 ```kotlin
-implementation("org.jetbrains.kotlinx:dataframe:1.0.0-Beta1")
+implementation("org.jetbrains.kotlinx:dataframe:1.0.0-Beta2")
 ```
 
 Optional Gradle plugin for enhanced type safety and schema generation
 https://kotlin.github.io/dataframe/schemasgradle.html
 ```kotlin
-id("org.jetbrains.kotlinx.dataframe") version "1.0.0-Beta1"
+id("org.jetbrains.kotlinx.dataframe") version "1.0.0-Beta2"
 ```
 
 Check out the [custom setup page](https://kotlin.github.io/dataframe/gettingstartedgradleadvanced.html) if you don't need some of the formats as dependencies,
@@ -80,7 +80,7 @@ df.filter { "stargazers_count"<Int>() > 50 }.print()
 
 Requires Gradle plugin to work
 ```kotlin
-id("org.jetbrains.kotlinx.dataframe") version "1.0.0-Beta1"
+id("org.jetbrains.kotlinx.dataframe") version "1.0.0-Beta2"
 ```
 
 Plugin generates extension properties API for provided sample of data. Column names and their types become discoverable in completion.
@@ -233,7 +233,7 @@ This table shows the mapping between main library component versions and minimum
 | 0.13.1                   | 8                    | 1.9.22         | 0.12.0-139             | 15.0.0               |
 | 0.14.1                   | 8                    | 2.0.20         | 0.12.0-139             | 17.0.0               |
 | 0.15.0                   | 8                    | 2.0.20         | 0.12.0-139             | 18.1.0               |
-| 1.0.0-Beta1              | 8 / 11               | 2.0.20         | 0.12.0-383             | 18.1.0               |
+| 1.0.0-Beta2              | 8 / 11               | 2.0.20         | 0.12.0-383             | 18.1.0               |
 
 ## Code of Conduct
 

docs/StardustDocs/d.tree

@@ -45,8 +45,7 @@
     </toc-element>
     <toc-element topic="nanAndNa.md"/>
     <toc-element topic="numberUnification.md"/>
-    <toc-element topic="operations.md"/>
-    <toc-element toc-title="Operations">
+    <toc-element topic="operations.md">
         <toc-element topic="create.md">
             <toc-element topic="createColumn.md" toc-title="DataColumn"/>
             <toc-element topic="createDataFrame.md" toc-title="DataFrame"/>

docs/StardustDocs/topics/Home.topic

@@ -13,20 +13,22 @@
         </description>
 
         <spotlight>
-            <a href="quickstart.md" type="start">Quickstart Guide</a>
-            <a href="Guides-And-Examples.md" type="library">Guides And Examples</a>
+            <a href="quickstart.md" type="start"/>
+            <a href="Guides-And-Examples.md" type="library"/>
         </spotlight>
 
         <primary>
             <title>First steps</title>
             <a href="gettingStartedKotlinNotebook.md"/>
             <a href="overview.md"/>
             <a href="operations.md"/>
+            <a href="read.md">Reading from files: CSV, JSON, ApacheArrow</a>
         </primary>
 
         <secondary>
             <title>Featured topics</title>
             <a href="Kotlin-DataFrame-Features-in-Kotlin-Notebook.md"/>
+            <a href="readSqlDatabases.md"/>
         </secondary>
 
 

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

@@ -30,8 +30,12 @@ load data, transform it, and visualize it.
  — inspired by [100 pandas puzzles](https://github.com/ajcr/100-pandas-puzzles).
   An interactive guide that takes you from simple tasks to complex challenges,
 teaching you how to solve them using Kotlin DataFrame in a concise and elegant style.
+* [Reading from files: CSV, JSON, ApacheArrow](read.md)
+  — read your data from various formats into `DataFrame`.
 * [SQL Databases Interaction](readSqlDatabases.md)
  — set up SQL database access and read query results efficiently into `DataFrame`.
+* [Custom SQL Database Support](readSqlFromCustomDatabase.md)
+  — extend DataFrame library for custom SQL database support.
 * [GeoDataFrame Guide](https://kotlin.github.io/kandy/geo-plotting-guide.html)
   — explore the GeoDataFrame module that brings a convenient Kotlin DataFrame API to geospatial workflows, 
 enhanced with beautiful Kandy-Geo visualizations (*experimental*).

docs/StardustDocs/topics/guides/Kotlin-DataFrame-Features-in-Kotlin-Notebook.md

@@ -1,5 +1,18 @@
 # Kotlin DataFrame Features in Kotlin Notebook
 
+<web-summary>
+Discover how Kotlin DataFrame integrates with Kotlin Notebook for seamless interactive data analysis in IntelliJ IDEA.
+</web-summary>
+
+<card-summary>
+Load, explore, and export your data interactively using Kotlin DataFrame in Kotlin Notebook.
+</card-summary>
+
+<link-summary>
+Learn how to load, explore, drill into, export, and interact with data using Kotlin DataFrame in Kotlin Notebook.
+</link-summary>
+
+
 The [Kotlin Notebook Plugin for IntelliJ IDEA](https://plugins.jetbrains.com/plugin/16340-kotlin-notebook),
 combined with Kotlin DataFrame, offers powerful data analysis capabilities within an interactive environment.
 Here are the key features:

docs/StardustDocs/topics/operations.md

@@ -1,4 +1,17 @@
-[//]: # (title: Operations Overview)
+[//]: # (title: Operations)
+
+<web-summary>
+Explore the full range of operations for transforming and analyzing data with Kotlin DataFrame.
+</web-summary>
+
+<card-summary>
+Explore the full range of operations for transforming and analyzing data with Kotlin DataFrame.
+</card-summary>
+
+<link-summary>
+Navigate a wide set of operations in Kotlin DataFrame — from filtering and grouping to pivoting and merging.
+</link-summary>
+
 
 <!---IMPORT org.jetbrains.kotlinx.dataframe.samples.api.Modify-->
 

docs/StardustDocs/topics/overview.md

@@ -1,4 +1,20 @@
-[//]: # (title: Overview)
+[//]: # (title: Library Overview)
+
+<web-summary>
+Learn what Kotlin DataFrame is about — its core concepts, design principles, and usage philosophy.
+</web-summary>
+
+<card-summary>
+Discover the fundamentals of the library —
+understand key concepts, motivation, and the overall structure of the library.
+</card-summary>
+
+<link-summary>
+Explore the fundamentals of Kotlin DataFrame — 
+understand key concepts, motivation, and the overall structure of the library.
+</link-summary>
+
+
 <show-structure depth="3"/>
 
 <tip> 
@@ -146,7 +162,7 @@ val analysed = dfClean.groupBy { From into "origin" }.aggregate {
 
 If you find a bug, or have an idea for a new feature, [file an issue](https://github.com/Kotlin/dataframe/issues/new) in our DataFrame GitHub repository.
 
-Additionally, we welcome contributions. To get stared, choose an issue and let us know that you're working on it. When you're ready, create a [pull request](https://github.com/Kotlin/dataframe/pulls).
+Additionally, we welcome contributions. To get stared, choose an issue, and let us know that you're working on it. When you're ready, create a [pull request](https://github.com/Kotlin/dataframe/pulls).
 
 You can also contact us in the [#datascience](https://kotlinlang.slack.com/archives/C4W52CFEZ) channel of Kotlin Slack.
 

docs/StardustDocs/topics/read.md

@@ -1,4 +1,20 @@
 [//]: # (title: Read)
+
+<web-summary>
+Learn how to load structured data into Kotlin DataFrame 
+from CSV, JSON, Excel, SQL databases, and more.
+</web-summary>
+
+<card-summary>
+Read your data from various file formats into DataFrame.
+</card-summary>
+
+<link-summary>
+Explore how to read data into Kotlin DataFrame from files, URLs, 
+with format auto-detection and parsing options.
+</link-summary>
+
+
 <!---IMPORT org.jetbrains.kotlinx.dataframe.samples.api.Read-->
 
 The Kotlin DataFrame library supports CSV, TSV, JSON, XLS and XLSX, and Apache Arrow input formats.
@@ -589,7 +605,7 @@ val df = DataFrame.readArrowFeather(file)
 
 [`DataFrame`](DataFrame.md) supports reading [Arrow interprocess streaming format](https://arrow.apache.org/docs/java/ipc.html#writing-and-reading-streaming-format)
 and [Arrow random access format](https://arrow.apache.org/docs/java/ipc.html#writing-and-reading-random-access-files)
-from raw Channel (ReadableByteChannel for streaming and SeekableByteChannel for random access), ArrowReader, InputStream, File or ByteArray.
+from raw Channel (ReadableByteChannel for streaming and SeekableByteChannel for random access), ArrowReader, InputStream, File, or ByteArray.
 
 > If you use Java 9+, follow the [Apache Arrow Java compatibility](https://arrow.apache.org/docs/java/install.html#java-compatibility) guide.
 >

docs/StardustDocs/topics/readSqlDatabases.md

@@ -1,5 +1,19 @@
 [//]: # (title: Read from SQL databases)
 
+<web-summary>
+Read data and infer schemas from SQL databases directly into Kotlin DataFrame, 
+with support for PostgreSQL, MySQL, SQLite, and more.
+</web-summary>
+
+<card-summary>
+Set up SQL database access and read query results efficiently into DataFrame.
+</card-summary>
+
+<link-summary>
+Learn how to query, read, and inspect SQL database tables using Kotlin DataFrame
+with full schema inference and flexible JDBC setup.
+</link-summary>
+
 These functions allow you to interact with an SQL database using a Kotlin DataFrame library.
 
 There are two main blocks of available functionality:

docs/StardustDocs/v.list

@@ -1,5 +1,5 @@
 <?xml version="1.0" encoding="UTF-8"?>
 <!DOCTYPE vars SYSTEM "https://resources.jetbrains.com/writerside/1.0/vars.dtd">
 <vars>
-    <var name="dataFrameVersion" value="1.0.0-Beta1" type="string"/>
+    <var name="dataFrameVersion" value="1.0.0-Beta2" type="string"/>
 </vars>