2018-05-09
694 reads
2018-05-09
694 reads
2018-04-25
749 reads
2018-04-11
721 reads
2018-03-28
776 reads
In the final article in this series, Robert Sheldon demonstrates combining data sources with multiple formats into one Python data frame.
2018-03-15
3,337 reads
2018-03-14
718 reads
2018-02-28
701 reads
Python is widely used to analyze data. One such use is to find anomalies or outliers. In this article, Robert Sheldon demonstrates how to create a support vector machine (SVM) to score test data so that outliers can be viewed on a scatter plot.
2018-02-14
3,434 reads
Python is a versatile language that is gaining more popularity as it is used for data analysis and data science. In this article, Rick Dobson demonstrates how to download stock market data and store it into CSV files for later import into a database system.
2018-01-31
2,873 reads
One of the advantages of running Python from SQL Server is the ability to create graphics to assist in analysis of data. Robert Sheldon demonstrates matplotlib, a 2D plotting library, widely used with Python to create quality charts.
2018-01-29
3,463 reads
By Steve Jones
Next week I’m at VS Live in San Diego (register and join me) and...
Ten years ago today, I filmed a Pluralsight Play by Play on open source...
By Steve Jones
It’s time for T-SQL Tuesday again and this is a great prompt to start...
Comments posted to this topic are about the item Stored Procedures for Server-Level Object...
Comments posted to this topic are about the item Databricks Genie Spaces for SQL...
Comments posted to this topic are about the item The Costs of Multiple Platforms
I have this data in a table in a SQL Server 2025 database:
EmailAddressID EmailAddress 7 dylan0@ADVENTURE-WORKS.COM 8 Diane1@ADVENTURE-WORKS.COMIf I run this query, which row(s) are returned?
SELECT top 10 * FROM person.EmailAddress WHERE REGEXP_LIKE(EmailAddress, '^d') AND BusinessEntityID IN (7,8)See possible answers