Teradata Python Package Import - Teradata VantageCloud Lake

Importing Teradata Package for Python modules using wildcard '*' or specific modules can lead to namespace collisions which overwrites the variable names used.

Example:

>>> import pandas as pd
>>> data = pd.read_csv(r"./sample.csv")
>>> print(type(data))
 
<class 'pandas.core.frame.DataFrame'>
 
 
>>> from teradataml import *
>>> print(type(data))
 
<class 'module'>

'data' is one of the module names in Teradata Package for Python and local variable 'data' which holds csv data is replaced by the module object.

To avoid the overwriting issue:

Avoid wildcard imports: Instead of using 'from package import *', explicitly import only the necessary components. For example:
```
>>> from teradataml  import specific_module
```
Use aliases: If you need to import a module with a common name, use an alias to avoid conflicts. For example:
```
>>> import teradataml.data as td_data
```