BUG: DataFrame Dict not callabe

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Reproducible Example

import pandas as pd

d = {'col1': [1,3], 'col2': [4,5]}
df = pd.DataFrame(data=d)
print(df)

  File ~\anaconda3\Lib\site-packages\spyder_kernels\py3compat.py:356 in compat_exec
    exec(code, globals, locals)

  File c:\dennis\savedennis\f\pythonstocks\code\untitled3.py:10
    df = pd.DataFrame(data=d)

TypeError: 'dict' object is not callable

Issue Description

Everything worked fine until a couple of days ago

Expected Behavior

This code is exactly copied from your examples

Installed Versions

INSTALLED VERSIONS ------------------ commit : a671b5a8bf5dd13fb19f0e88edc679bc9e15c673 python : 3.11.7.final.0 python-bits : 64 OS : Windows OS-release : 10 Version : 10.0.22631 machine : AMD64 processor : Intel64 Family 6 Model 140 Stepping 2, GenuineIntel byteorder : little LC_ALL : None LANG : en LOCALE : English_United States.1252 pandas : 2.1.4 numpy : 1.26.4 pytz : 2023.3.post1 dateutil : 2.8.2 setuptools : 68.2.2 pip : 23.3.1 Cython : None pytest : 7.4.0 hypothesis : None sphinx : 5.0.2 blosc : None feather : None xlsxwriter : None lxml.etree : 4.9.3 html5lib : 1.1 pymysql : None psycopg2 : None jinja2 : 3.1.3 IPython : 8.20.0 pandas_datareader : None bs4 : 4.12.2 bottleneck : 1.3.7 dataframe-api-compat: None fastparquet : None fsspec : 2023.10.0 gcsfs : None matplotlib : 3.8.0 numba : 0.59.0 numexpr : 2.8.7 odfpy : None openpyxl : 3.0.10 pandas_gbq : None pyarrow : 14.0.2 pyreadstat : None pyxlsb : None s3fs : 2023.10.0 scipy : 1.11.4 sqlalchemy : 2.0.25 tables : 3.9.2 tabulate : 0.9.0 xarray : 2023.6.0 xlrd : None zstandard : 0.19.0 tzdata : 2023.3 qtpy : 2.4.1 pyqt5 : None Replace this line with the output of pd.show_versions()

pandas-dev / pandas