+
+| 0.15 |
+1.0 |
+Note |
+
+
+col.convertToInstant() |
+col.convertToDeprecatedInstant() |
+WARNING in 1.0, ERROR in 1.1 |
+
+
+col.convertToStdlibInstant() |
+Will be renamed back into convertToInstant() in 1.1 |
+
+
+df.convert { columns }.toInstant() |
+df.convert { columns }.convertToDeprecatedInstant() |
+WARNING in 1.0, ERROR in 1.1 |
+
+
+df.convert { columns }.convertToStdlibInstant() |
+Will be renamed back into convertToInstant() in 1.1 |
+
+
+ColType.Instant |
+ColType.DeprecatedInstant |
+WARNING in 1.0, ERROR in 1.1 |
+
+
+ColType.StdlibInstant |
+Will be renamed back into Instant in 1.1 |
+
+
+
+
+In version 1.0, all parsing operations still convert `Instant`
+values into the deprecated `kotlinx.datetime.Instant`.
+To enable parsing into the new standard library `kotlin.time.Instant`,
+set the corresponding parsing option **`ParserOptions.parseExperimentalInstant`**
+(that will be default in 1.1).
+For example:
+
+```kotlin
+DataFrame.readCsv(
+ ...,
+ parserOptions = ParserOptions(parseExperimentalInstant = true)
+)
+```
+
+### Deprecation of `cols()` and other methods in Columns Selection DSL
+
+`cols()` overloads without arguments, which select all columns of a DataFrame or
+all subcolumns inside a column group in the [Columns Selection DSL](ColumnSelectors.md),
+are deprecated in favor of `all()` and `allCols()` respectively.
+These replacements allow the [Compiler Plugin](Compiler-Plugin.md) to fully support such selections.
+
+`colsAtAnyDepth()`, `colsInGroups()`, and `single()` overloads with a `predicate` argument
+that filters columns are also deprecated for better Compiler Plugin support.
+Use `.filter(predicate)` for filtering instead.
+
+| 0.15 | 1.0 |
+|--------------------------------------------------|------------------------------------------------------------------|
+| `df.select { cols() }` | `df.select { all() }` |
+| `df.select { colGroup.cols() }` | `df.select { colGroup.allCols() }` |
+| `df.select { colsAtAnyDepth { predicate } }` | `df.select { colsAtAnyDepth().filter { predicate } }` |
+| `df.select { colsInGroups { predicate } }` | `df.select { colsInGroups().filter { predicate } }` |
+| `df.select { single { predicate } }` | `df.select { cols().filter { predicate }.single() }` |
+| `df.select { colGroup.singleCol { predicate } }` | `df.select { colGroup.allCols().filter { predicate }.single() }` |
+| `df.select { colSet.single { predicate } }` | `df.select { colSet.filter { predicate }.single() }` |
+
+
+
+### Removed functions and classes
+
+The next functions and classes raise `ERROR` in 1.0 and will be removed in 1.1.
+
+| 0.15 | 1.0 | Reason |
+|----------------------------------------------------------------|------------------------------------------------------------------------------|----------------------------------------|
+| `DataColumn.createFrameColumn(name, df, startIndices)` | `df.chunked(name, startIndices)` | Replaced with another function. |
+| `DataColumn.createWithTypeInference(name, values, nullable)` | `DataColumn.createByInference(name, values, TypeSuggestion.Infer, nullable)` | Replaced with another function. |
+| `DataColumn.create(name, values, infer)` | `DataColumn.createByType(name, values, infer)` | Replaced with another function. |
+| `col.isComparable()` | `col.valuesAreComparable()` | Renamed to better reflect its purpose. |
+| `df.minus { columns }` | `df.remove { columns }` | Replaced with another function. |
+| `df.move { columns }.toLeft()`/`df.moveToLeft{ columns }` | `df.move { columns }.toStart()`/`df.moveToStart { columns }` | Renamed to better reflect its purpose. |
+| `df.move { columns }.toRight()`/`df.moveToRight{ columns }` | `df.move { columns }.toEnd()`/`df.moveToEnd{ columns }` | Renamed to better reflect its purpose. |
+| `row.rowMin()`/`row.rowMinOrNull()` | `row.rowMinOf()`/`row.rowMinOfOrNull()` | Renamed to better reflect its purpose. |
+| `row.rowMax()`/`row.rowMaxOrNull()` | `row.rowMaxOf()`/`AnyRow.rowMaxOfOrNull()` | Renamed to better reflect its purpose. |
+| `row.rowPercentile()`/`row.rowPercentileOrNull()` | `row.rowPercentileOf()`/`row.rowPercentileOfOrNull()` | Renamed to better reflect its purpose. |
+| `row.rowMedian()`/`row.rowMedianOrNull()` | `row.rowMedianOf()`/`row.rowMedianOfOrNull()` | Renamed to better reflect its purpose. |
+| `df.convert { columns }.to { converter }` | `df.convert { columns }.asColumn { converter }` | Renamed to better reflect its purpose. |
+| `df.toHTML(..)`/`df.toStandaloneHTML()` | `df.toHtml(..)`/`df.toStandaloneHtml()` | Renamed to the correct CamelCase. |
+| `df.writeHTML()` | `df.writeHtml()` | Renamed to the correct CamelCase. |
+| `asURL(fileOrUrl)`/`isURL(path)` | `asUrl(fileOrUrl)`/`isUrl(path)` | Renamed to the correct CamelCase. |
+| `df.convert { columns }.toURL()`/`df.convertToURL { columns }` | `df.convert { columns }.toUrl()`/`df.convertToUrl { columns }` | Renamed to the correct CamelCase. |
+| `df.filterBy(column)` | `df.filter { column }` | Replaced with another function. |
+| `FormattingDSL` | `FormattingDsl` | Renamed to the correct CamelCase. |
+| `RGBColor` | `RgbColor` | Renamed to the correct CamelCase. |
+| `df.insert(column).after(columnPath)` | `df.insert(column).after { columnPath }` | Replaced with another function. |
+| `CompareResult.Equals` / `CompareResult.isEqual()` | `CompareResult.Matches` / `CompareResult.matches()` | Renamed to better reflect its purpose. |
+| `CompareResult.isSuperOrEqual()` | `CompareResult.isSuperOrMatches()` | Renamed to better reflect its purpose. |
+
+The next functions and classes raise `WARNING` in 1.0 and `ERROR` in 1.1.
+
+| 0.15 | 1.0 | Reason |
+|----------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------|
+| `df.split { columns }.default(..)` / `df.split { columns }.into(..)` / `df.split { columns }.inward(..)` | `df.split { columns }.by(..).default(..)` / `df.split { columns }.by(..).into(..)` / `df.split { columns }.by(..).inward(..)` | Removed a shortcut to clarify the behaviour; Only for `String` columns. |
+| `dataFrameOf(header, values)` | `dataFrameOf(header).withValues(values)` | Replaced with another function. |
+| `df.generateCode(..)` | `df.generateInterfaces(..)` | Replaced with another function. |
+| `df.select { mapToColumn(name, infer) { body } }` | `df.select { expr(name, infer) { body } }` | Removed duplicated functionality. |
+| `stringCol.length()` | `stringCol.map { it?.length ?: 0 }` | Removed a shortcut to clarify the behaviour; Only for `String` columns. |
+| `stringCol.lowercase()` / `stringCol.uppercase()` | `stringCol.map { it?.lowercase() }` / `stringCol.map { it?.uppercase() }` | Removed a shortcut to clarify the behaviour; Only for `String` columns. |
+| `df.add(columns)` / `df.add(dataframes)` | `df.addAll(columns)` / `df.addAll(dataframes)` | Renamed to to improve completion. |
+| `row.isEmpty()` / `row.isNotEmpty()` | `row.values().all { it == null }` / `row.values().all { it == null }` | Removed a shortcut to clarify the behaviour; |
+| `row.getRow(index)` / `row.getRowOrNull(index)` / `row.getRows(indices)` | `row.df().getRow(index)` / `row.df().getRowOrNull(index)` / `row.df().getRows(indices)` | Removed a shortcut to clarify the behaviour; |
+| `df.copy()` | `df.columns().toDataFrame().cast()` | Removed a shortcut to clarify the behaviour; |
+| `KeyValueProperty