How to set PYTHONPATH in Visual Studio Code?

[snippsat]

But it does not works at all. Desperately need your advice.

Do not give path VS Code.
This should work fom commandline before using any Editors.
If i do test install of pyspark using eg conda Installation

conda install -c conda-forge pyspark

I have conda-forge on as default.

# Activate environment  
G:\div_code\egg\ping
λ G:\miniconda3\Scripts\activate.bat tom_env
# Install pyspark
(tom_env) G:\div_code\egg\ping
λ conda install pyspark
Retrieving notices: ...working... done
.....

Test that it work.

(tom_env) G:\div_code\egg\ping
λ ptpython
>>> import pandas as pd
>>> pd.__file__
'G:\\miniconda3\\envs\\tom_env\\lib\\site-packages\\pandas\\__init__.py'

>>> from pyspark.sql import SparkSession
>>> spark = SparkSession.builder.getOrCreate()

# Testing pyspark
>>> from datetime import datetime, date
... import pandas as pd
... from pyspark.sql import Row
...
... df = spark.createDataFrame([
...     Row(a=1, b=2., c='string1', d=date(2000, 1, 1), e=datetime(2000, 1, 1, 12, 0)),
...     Row(a=2, b=3., c='string2', d=date(2000, 2, 1), e=datetime(2000, 1, 2, 12, 0)),
...     Row(a=4, b=5., c='string3', d=date(2000, 3, 1), e=datetime(2000, 1, 3, 12, 0))
... ])
>>> df
DataFrame[a: bigint, b: double, c: string, d: date, e: timestamp]

>>> df.columns
['a', 'b', 'c', 'd', 'e']

So now all work from commandline,without any Editors or setup in them.

For Editors i have to set this,so set PYSPARK_PYTHON and PYSPARK_DRIVER_PYTHON.
This is a OS environment setup,and not a setup in Editors.

(tom_env) G:\div_code\egg\ping
λ set PYSPARK_PYTHON=G:\miniconda3\envs\tom_env\python.exe

(tom_env) G:\div_code\egg\ping
λ set PYSPARK_DRIVER_PYTHON=G:\miniconda3\envs\tom_env\python.exe 

Then this work in VS Code with no setup in Editor,other than activate environment.

from datetime import datetime, date
import pandas as pd
from pyspark.sql import Row
from pyspark.sql import SparkSession
spark = SparkSession.builder.getOrCreate()

df = spark.createDataFrame([
    Row(a=1, b=2., c='string1', d=date(2000, 1, 1), e=datetime(2000, 1, 1, 12, 0)),
    Row(a=2, b=3., c='string2', d=date(2000, 2, 1), e=datetime(2000, 1, 2, 12, 0)),
    Row(a=4, b=5., c='string3', d=date(2000, 3, 1), e=datetime(2000, 1, 3, 12, 0))
])

print(df) 

---

If you messed (base) environment just make a new one,this is important point of using Anaconda.
Do not try to fix a broken environment,just make new one.
Example,this also install new Python 3.10.8 version and notebook i a most have with jupyterlab.

conda create --name my_env -c conda-forge pyspark jupyterlab python=3.10.8