Python continues to dominate data science with its ease of use and vast libraries.R remains a favorite for statistics and ...

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 ...

a new code-first functionality within Sisense Fusion Analytics that empowers data analysts with the tools they need to conduct advanced analysis using Structured Query Language (SQL) and Python.

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 ...

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 ...

This includes how to use tools like Excel, SQL, and Tableau, how to write code in Python for databases and machine learning algorithms, and how to make quantitative data interpretations.

Just over half (51.52%) of professional developers use SQL in their work, but only around a third (35.29%) of those learning to code use SQL. For a language that has remained in use for decades ...