Python

SQLServerCentral Article

Vector DB implementation using FAISS

  • Article

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 […]

You rated this post out of 5. Change rating

2025-01-17

3,551 reads

External Article

Screen Scraping with Python and BeautifulSoup Code Examples

  • Article

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

SQLServerCentral Article

Modifying MySQL data from within Python

  • Article

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

331 reads

External Article

Modifying MySQL data from within Python

  • Article

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

Blogs

Agentic Architect – Future IT Roles (comparison)

By

These days everything is changing to AI World, IT roles are getting changed and...

PlanTrace: Stop Reading Redshift EXPLAIN Plans. Start Seeing Them

By

PlanTrace: Stop Reading Redshift EXPLAIN Plans. Start Seeing Them Introducing PlanTrace — a free, browser-based...

A Cloud Dependency Failure from Amazon

By

I went to sleep while reading a Kindle book on my phone. I know...

Read the latest Blogs

Forums

04-05-2006

By Bogdan

TSQL SQL Server

Cara koreksi Nama Tiket di BookCabin

By bpriddy

Koreksi nama tiket di BookCabin dapat dilakukan melalui Call Center BookCabin di +62 821...

SPAM Issues May 2026

By Steve Jones - SSC Editor

We suffered a SPAM attack from May 1-6, which unfortunately corresponded with time off...

Visit the forum

Question of the Day

Creating a JSON Document III

I have this data in a table called dbo.NFLTeams

TeamID  TeamName       City             YearEstablished
------  --------       ----             ---------------
1       Cowboys        Dallas           1960
2       Eagles         Philadelphia     1933
3       Packers        Green Bay        1919
4       Chiefs         Kansas City      1960
5       49ers          San Francisco    1946
6       Broncos        Denver           1960
7       Seahawks       Seattle          1976
8       Patriots       New England      1960
If I run this code, how many rows are returned?
SELECT TOP 2 
  json_objectagg('Team' : TeamName)
FROM dbo.NFLTeams;

See possible answers