Learn Python Complex Built-in Data Types including List, Tuple, Range, Dictionary and Set
In this article we present complex built-in data types in Python along with several examples of how to use complex data types.
2022-02-18
Python
Creating a SQL Server Agent Job to Run Python Scripts in a Virtual Environment
In this article we walk through how you can run Python scripts using SQL Server Agent, so you can setup scheduled jobs to run your Python code.
2022-01-12
CRUD Operations on a SharePoint List using Python
This article explains which Python library provides create, read, update, and delete (CRUD) operations on a SharePoint list along with examples.
2021-11-19
Plotting in Python for Financial Time Series Data for Exponential Moving Averages
Learn how to plot a financial time series using SQL Server data and Python to reveal the value of exponential moving averages and make decisions about time series values.
2021-09-29
Use SQLAlchemy ORMs to Access MongoDB Data in Python
The wide ecosystem of Python modules enables you get to work fast and effectively integrate your systems. You can use the CData Python Connector for MongoDB and the SQLAlchemy toolkit to build MongoDB-connected Python applications and scripts. This article details how to use SQLAlchemy to connect to MongoDB data to query, update, delete, and insert MongoDB data. Connecting to MongoDB Data Connecting to MongoDB data is similar to connecting to any other relational database. Create a […]
2021-09-22
4,430 reads
Create, Populate, and Subset a Pandas Dataframe from a CSV File
In this article we demonstrate how to transfer data via a CSV file from a SQL Server database to a Pandas dataframe and then subset the dataframe in Python.
2021-09-03
Migrate Key-Value Pairs from Python Dictionary to SQL Server via JSON
This article will demonstrate how to migrate via JSON, key-value pairs from a Python dictionary object to a SQL Server table.
2021-07-16
Learn basics of Data Wrangling in SQL Server to handle Invalid Values
In this article we cover the topic of data wrangling which is steps you can take to cleanup and validate data prior to data analysis.
2021-04-23
CRUD Operations in SQL Server using Python
This article goes through a process to show how you can use Python to perform create, read, update, and delete (CRUD) operations on SQL Server data.
2021-02-03
Creating SQL containers on Azure Data Studio Notebooks with Python
Carlos Robles explains how to use Azure Data Studio Notebooks to create SQL containers with Python.
2020-03-24
2,818 reads
Blogs
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Reality (And Limits) of Instant File Initialization for Transaction Logs in SQL Server 2022
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Looking Back at the Redgate 2026 Company Kickoff
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Last week I spent a few days in Cambridge, UK for the Redgate Company...
Forums
Create filegroups in partition
I have a table with partition on create_timestamp field. Though we're storing all data...
Adding and Dropping Columns II
Comments posted to this topic are about the item Adding and Dropping Columns II
Leveraging DuckDB for OLAP Workloads: The Fabric Modern Data Platform
Comments posted to this topic are about the item Leveraging DuckDB for OLAP Workloads:...
Question of the Day
Adding and Dropping Columns II
I have this table in my SQL Server 2022 database:
CREATE TABLE [dbo].[CityList] ( [CityNameID] [int] NOT NULL IDENTITY(1, 1), [CityName] [varchar] (30) , [Country2] [char] (3), [stateprovince2] [char] (2), [Country] [char] (3), [stateprovince] [char] ) ON [PRIMARY] GOI decide to drop the stateprovince2 and country2 columns. What code should I use? See possible answers
