Python jupyter notebook call java from python

#PYTHON JUPYTER NOTEBOOK CALL JAVA FROM PYTHON HOW TO#

Step 2Д¬x_Oracle enables us to execute SQL call from Python code, but to be able to call remote DB from Python script, we need to install and configure Oracle Instant Client on the machine where Python runs. This module helps to connect to the Oracle DB from Python. Install cx_Oracle Python module: python -m pip install cx_Oracle

#PYTHON JUPYTER NOTEBOOK CALL JAVA FROM PYTHON HOW TO#

In this post, I describe how to call the Oracle DB from Jupyter notebook with Python code. Another advantage of reading data directly from DB is when data changes, it is easier to automate the ML model re-train process. Data preparation/transformation steps can be done quite easily with SQL while fetching original business data. Wouldn't it be better to read data directly from the DB? Often, you can't feed business data directly into ML training because it needs pre-processing - changing categorial data, calculating new data features, etc. There's nothing wrong with CSV, but let's think about if it is really practical.

If you read a book, article, or blog about machine learning, chances are it will use training data from a CSV file.

Python jupyter notebook call java from python