PyAthena
pyodbc
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| PyAthena | pyodbc | |
|---|---|---|
| 1 | 23 | |
| 447 | 2,844 | |
| - | - | |
| 9.1 | 7.8 | |
| 17 days ago | 12 days ago | |
| Python | C++ | |
| MIT License | MIT No Attribution |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
PyAthena
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Best Practices for AWS Athena Queries
For python there is PyAthena which is a nice little wrapper around boto3 that tries to adhere to the python DB API.
pyodbc
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Is there a way to monitor in real time all SQL commands Sent to SQL Server 2017 through Python
Python can script and view this via pyodbc... https://github.com/mkleehammer/pyodbc/wiki
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Problems Changing a Password with Pyodbc
I am not 100% sure you call stored procedure correctly. in the examples they declare @out parameter for the procedures with output.
- Trying to deploy a windows based Python & Flask web app
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Self-hosted Car Infotainment
pyodbc has the odb2 part figured out. This could be useful instead of reinventing the wheel. The rest I can't think of anything that has been done. Sounds like an interesting project.
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How to use a value more than once in a Prepared Statement (pyodbc)
From its documentation it looks like pyodbc conforms to the DB API, so you can probably use named parameters by passing a dictionary to execute(), as described here.
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Installing pyodbc in termux help
~ $ pip show pyodbc Name: pyodbc Version: 4.0.34 Summary: DB API Module for ODBC Home-page: https://github.com/mkleehammer/pyodbc Author: Author-email: License: MIT Location: /data/data/com.termux/files/usr/lib/python3.10/site-packages Requires: Required-by:
- Weird error with driver - Data source name not found and no default driver specified
- pyodbc, unixODBC Driver Manager Error
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ODBC and OLE DB connections "going stale" after several hours
I am trying to migrate data from our Enterprise Data Warehouse to one of our own reporting databases via ODBC and Python scripts. The python scripts import pyodbc to handle the database connections and execute SQL queries. A system DSN is defined on our ETL server for each database involved in the process.
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Python using MS Access?
See the docs.
What are some alternatives?
AWS Data Wrangler - pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL).
PyHive - Python interface to Hive and Presto. 🐝
TinyDB - TinyDB is a lightweight document oriented database optimized for your happiness :)
shillelagh - Making it easy to query APIs via SQL
SQLMap - Automatic SQL injection and database takeover tool
athena-glue-service-logs - Glue scripts for converting AWS Service Logs for use in Athena
django-pyodbc-azure - Django backend for Microsoft SQL Server and Azure SQL Database using pyodbc
flask-sqlalchemy - Adds SQLAlchemy support to Flask
Redash - Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.
odbc - Connect to ODBC databases (using the DBI interface)