Create dataframes from Python objects (pandas, polars, dictionary, list, pyarrow Table)

[simicd]

Is your feature request related to a problem or challenge? Please describe what you are trying to do.
With PR #235 & #197 datafusion DataFrames can be directly converted to Python list, Python dictionary, pandas, polars or Arrow Table. I'd like to have the functionality to go the other way and create datafusion DataFrames from these object types, e.g. from a dictionary:

import datafusion

ctx = datafusion.SessionContext()
df = ctx.from_pydict({"a": [1, 2, 3], "b": [4, 5, 6]})
# Dataframe:
# +---+---+
# | a | b |
# +---+---+
# | 1 | 4 |
# | 2 | 5 |
# | 3 | 6 |
# +---+---+

Describe the solution you'd like
Context methods that can generate datafusion DataFrames using pyarrow's from_... methods (e.g. from_pandas, from_pydict, ...)

• from_pydict
• from_pylist
• from_pandas
• from_polars
• from_arrow_table

Describe alternatives you've considered
n/a

Additional context
n/a