Typedspark

What's Changed
* Bump pandas from 2.0.1 to 2.0.2 by dependabot in https://github.com/kaiko-ai/typedspark/pull/67
* Bump coverage from 7.2.6 to 7.2.7 by dependabot in https://github.com/kaiko-ai/typedspark/pull/68
* Bump pyright from 1.1.310 to 1.1.311 by dependabot in https://github.com/kaiko-ai/typedspark/pull/70
* Bump nbformat from 5.8.0 to 5.9.0 by dependabot in https://github.com/kaiko-ai/typedspark/pull/69
* Update typing-extensions requirement from <=4.6.2 to <=4.6.3 by dependabot in https://github.com/kaiko-ai/typedspark/pull/71


**Full Changelog**: https://github.com/kaiko-ai/typedspark/compare/1.0.5...1.0.6

What's Changed?
* Update typing-extensions requirement from <=4.6.1 to <=4.6.2 by dependabot in https://github.com/kaiko-ai/typedspark/pull/64


**Full Changelog**: https://github.com/kaiko-ai/typedspark/compare/1.0.4...1.0.5

Update typing-extensions requirement

Support nested datatypes for Schema.get_schema_definition_as_string()

Extends `create_partially_filled_dataset()` such that you can now also define it in a row-wise fashion:

python
create_partially_filled_dataset(
spark,
Person,
[
{Person.name: "Alice", Person.age: 20},
{Person.name: "Bob", Person.age: 30},
{Person.name: "Charlie", Person.age: 40},
{Person.name: "Dave", Person.age: 50},
{Person.name: "Eve", Person.age: 60},
{Person.name: "Frank", Person.age: 70},
{Person.name: "Grace", Person.age: 80},
]
)

Roll back type annotations for `DataSet.union()` and `DataSet.intersect()`. Since the columns in a `DataSet` can be of any ordering, this means that we cannot guarantee that for example `DataSet[T].union(df: DataSet[T]) -> DataSet[T]`. For this purpose, please use `DataSet.unionByName()`.