Julian

Change `pl.Series` argument order (`name`, `values` to `values`, `name`)

9

### Description I propose to either - change the `pl.Series` argument order from `name`, `values` to `values`, `name` - make `name` argument explicit/required before the big 1.0 release for the...

`cast` of float to `pl.Decimal` silently fails but also changes float values

1

### Checks - [X] I have checked that this issue has not already been reported. - [X] I have confirmed this bug exists on the [latest version](https://pypi.org/project/polars/) of Polars. ###...

Polars ~20x slower than pandas in DataFrame creation for `list[...]` columns using generators

11

### Description Noticed this when rewriting a pandas workflow to polars that DataFrame creation was about 20x slower in polars (~4sec) compared to pandas (~0.2sec) I am creating a DataFrame...

### Checks - [X] I have checked that this issue has not already been reported. - [X] I have confirmed this bug exists on the [latest version](https://pypi.org/project/polars/) of Polars. ###...

### Checks - [X] I have checked that this issue has not already been reported. - [X] I have confirmed this bug exists on the [latest version](https://pypi.org/project/polars/) of Polars. ###...

### Checks - [X] I have checked that this issue has not already been reported. - [X] I have confirmed this bug exists on the [latest version](https://pypi.org/project/polars/) of Polars. ###...

Alignment issues (example: VSCode Notebook output cell)

2

A lot of "Data work" these days is done with "DataFrame-libraries" which present data in tabular form which you can print to show the content It **should** look like here...

vscode cannot help installing packages (e.g.: ipykernel for notebook)

4

vs code cannot help installing packages as it used to example: - `uv venv` - create a python notebook `dummy.ipynb` (use the newly created .venv) - run any cell vscode...

### Description When casting from `float` or `str` to `Decimal` without `scale` I see two different behaviours - `float` -> `Decimal`:  defaults to `precision=38` & `scale=0` - `str` -> `Decimal`:...

### Description casting from `str` to `Decimal` truncates the data without rounding. Other libraries round here. ```python df = pl.DataFrame({"x": ["0.04", "0.05", "0.06"]}).with_columns( d=pl.col("x").cast(pl.Decimal(scale=1)), ) # shape: (3, 2) #...