In this post, we are going to learn how we can leverage the power of Python’s pandas module in SQL Server 2017. pandas is an open source Python library providing data frame as data structure similar to the SQL table with the vectorized operation support for high performance. To know more about pandas, you can click […]
Python use case – Dynamic UNPIVOT using pandas – SQL Server 2017 Read More »
In this post “Connecting Python 3 to SQL Server 2017 using pyodbc”, we are going to learn that how we can connect Python 3 to SQL Server 2017 to execute SQL queries. We can change the settings accordingly to connect to other versions of SQL Server also. If you are interested to know more about
Connecting Python 3 to SQL Server 2017 using pyodbc Read More »
In the previous blog post “Python use case – Map unequal comma separated values from two columns – SQL Server 2017“, we demonstrated a use case example of Python in SQL Server 2017. Now, in this post, “Python use case – Get employees for given skill set – SQL Server 2017”, we are going to
Python use case – Get employees for given skill set – SQL Server 2017 Read More »
We know that Microsoft has integrated Python in SQL Server 2017 to enable rich data analytics capabilities within the database itself. Python is one of the most powerful languages which provides lots of built-in libraries for advanced data analytics and transformations. We can use Python for almost everything from website development to robotics and Data
Python use case – Map unequal comma separated values from two columns – SQL Server 2017 Read More »
Microsoft has integrated Python in SQL Server 2017 which can be used for in-database analysis purpose. In this post, we are going to explore “Why Python and how to use it in SQL Server 2017”, and then we will explore that how we can use it in SQL Server 2017. Why Python Python is a
Microsoft has launched the most recent SQL Server 2017 release candidate (RC1, July 2017). It can be downloaded from this link. SQL Server 2017 will run on both Windows as well as on Linux OS. It also supports macOS via Docker too. In this post, we will discuss the new features of SQL Server 2017.
