Searching for relevant information in vast repositories of unstructured text can be a challenge. This article explains a Python-based approach to implementing an efficient document search system using FAISS (Facebook AI Similarity Search) for Vector DB and sentence embeddings, which can be useful in applications like chatbots, document retrieval, and natural language understanding. In this […]
2025-01-17
3,390 reads
How to create a connection for StreamLit and Snowflake to upload data for visualization
2024-12-20
2,531 reads
Learn how to get started with Elasticsearch with data in your SQL Server database.
2024-10-14
2,472 reads
This article shows how to use Python to access data in SQL Server and produce a K-Means analysis with a chart.
2024-01-08
3,177 reads
This article will show the basic outline for how Python scripts can access and work with data in SQL Server.
2023-11-06
19,655 reads
This article gives an overview of MongoDB and outlines steps to integrate python with MongoDB
2023-10-13
842 reads
2023-11-20 (first published: 2023-10-02)
2,987 reads
BeautifulSoup (sometimes referred to as Beautiful Soup library) is one of several widely used screen scraping packages for a web page. It is highly regarded for its ease of use and power.
Screen scraping enables developers to create solutions that permit comparative analyses from all over the internet, such as web applications that look for the best price on an item from many different online stores.
2023-08-25
In the previous article in this series, I introduced you to how to access MySQL data from within a Python script. The article described how to use the MySQL Connector to establish a connection with a database and then retrieve data through that connection. In this article, I continue the discussion by demonstrating how to insert, update, and delete data in a MySQL database, again working with Python and the MySQL Connector.
2023-08-04
330 reads
In the previous article in this series, I introduced you to how to access MySQL data from within a Python script. The article described how to use the MySQL Connector to establish a connection with a database and then retrieve data through that connection. In this article, I continue the discussion by demonstrating how to insert, update, and delete data in a MySQL database, again working with Python and the MySQL Connector.
2023-08-02
By HeyMo0sh
One of the biggest challenges I’ve faced in cloud operations is maintaining clear visibility...
By Steve Jones
I come to Heathrow often. Today is likely somewhere close to 60 trips to...
By Brian Kelley
If your organization is spending money, then meaningful results are a must. Pen testing...
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Comments posted to this topic are about the item Breaking Down Your Work
I have a database, DNRTest, that has a number of tables and other objects in it. The other day, I was trying to mock up a test and ran this code on the same server:
-- run yesterday CREATE DATABASE DNRTest2 GO USE DNRTest2 GO CREATE TABLE NewTable (id INT) GOToday, I realize that I need a copy of DNRTest for another mockup, and I run this:
-- run today USE Master BACKUP DATABASE DNRTest TO DISK = 'dnrtest.bak' GO RESTORE DATABASE DNRTest2 FROM DISK = 'dnrtest.bak' WITH REPLACEWhat happens? See possible answers