You’ll also learn to use the powerful Python library, which includes Numpy, Pandas, Matplotlib, and Scikit-learn. Armed with these powerful skills, you’ll take a deep dive into SQL ...

using SQL Server data as the input. This process, called scoring, can be implemented in code written either in R or Python, via ad hoc scripts or stored procedures. And since stored procedure ...

The roles of Excel, SQL and Python have evolved as analysts have gained ... as well as an increased use of intermediate storage for data comparison and cleaning. Automation features have also ...

I had a python script that needs to access an oracle 11g database and run a select statement to pull back some records. The select statement is pretty much a simple: import cx_Oracle c = cx_Oracle ...

For the Python, I mostly used code from the Llamaindex ... Create a database object from that table that sqlalchemy can use sql_database = SQLDatabase(engine, include_tables=["city_stats ...

The analytic software is open for security review, scientific review, and re-use. The tools are built in Python, SQL, and Docker, with additional statistical analyses called from Stata and R ...