Consider making the DataFrame API less verbose by imitating Polars

**Is your feature request related to a problem or challenge? Please describe what you are trying to do.**

I'd say that, for instance, `.select(["name"])` is significantly easier to read and write than `.select(vec![col("name")])`.

**Describe the solution you'd like**

Polars deals with this by having the following more generic signature.

```
pub fn select(&self, selection: I) -> Result
where
I: IntoIterator,
S: AsRef
```

`IntoIterator` makes a lot of sense, it allows for arrays for concise syntax and Vec or any other collection whenever the list is programmatically generated.

`AsRef` is less clear, I'm not sure how they refer to complex expressions with a string reference. Perhaps `Into` might be better with a default implementation for `&str`.

Yes I know that there's also a `select_columns(&self, columns: &[&str])` method in the current API, but it is still less flexible, somewhat redundant, and there are other places where `vec!` and `col()` somewhat pollute the syntax still.

Inizia individuando i metodi dell’API DataFrame denominati select e select_columns, quindi esamina le loro firme attuali e l’utilizzo nelle vicinanze. Confronta il comportamento generico di selezione proposto con la gestione esistente delle colonne e delle espressioni complesse; il lavoro dovrebbe considerarsi completato quando esiste un design dell’API concordato e coerente che copra sia i literal concisi sia le collezioni generate programmaticamente, senza lasciare irrisolto il comportamento delle espressioni.

Scritto dal modello di indicizzazione a partire dal testo della issue.