I am trying to connect to SQL through python to run some queries on some SQL databases on Microsoft SQL server. From my research online and on this forum the most promising library seems to be pyodbc. So I have made the following code
How do I get the SQL that Django will use on the database from a QuerySet object? I’m trying to debug some strange behavior, but I’m not sure what queries are going to the database. Answers: Thank you for visiting the Q&A section on Magenaut. Please note that all the answers may not help you … Read more
If returning a tuple doesn’t suffice
and you want name-based access to
columns, you should consider setting
row_factory to the highly-optimized
sqlite3.Row type. Row provides both
index-based and case-insensitive
name-based access to columns with
almost no memory overhead. It will
probably be better than your own
custom dictionary-based approach or
even a db_row based solution.
Is there an elegant way of getting a single result from an SQLite SELECT query when using Python?
I’m trying to figure out how to properly use a WHERE _ IN _ statement
I would like to sort a model by using Postgresql’s “NULLS LAST” option.
How could it be done?
I want to filter a Pyspark DataFrame with a SQL-like IN clause, as in
I’m playing around with a little web app in web.py, and am setting up a url to return a JSON object. What’s the best way to convert a SQL table to JSON using python?
I have the following models:
I am trying to understand how python could pull data from an FTP server into pandas then move this into SQL server. My code here is very rudimentary to say the least and I am looking for any advice or help at all. I have tried to load the data from the FTP server first which works fine…. If I then remove this code and change it to a select from ms sql server it is fine so the connection string works, but the insertion into the SQL server seems to be causing problems.