PostgreSQL
psycopg2
PostgreSQL | psycopg2 | |
---|---|---|
415 | 19 | |
14,971 | 3,237 | |
1.6% | 0.9% | |
10.0 | 6.3 | |
2 days ago | about 1 month ago | |
C | C | |
GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
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.
PostgreSQL
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Essential Tools & Technologies for New Developers
Every time I buy a new computer, the first thing I install is the servers for MySql and Postgres, the two most common databases. This way, I can start the databases with a simple command like this:
- OpenBSD 7.3 を 7.4 へ アップグレード
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What do you want to watch next? This is why I built GoodWatch.
Data Handling: Utilizes Windmill for data pipelines, with a primary database powered by PostgreSQL. Auxiliary data storage is handled by MongoDB, with Redis for caching to optimize performance
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System Design: Databases and DBMS
PostgreSQL
- Presentación del Operador LMS Moodle
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Introducing LMS Moodle Operator
The LMS Moodle Operator serves as a meta-operator, orchestrating the deployment and management of Moodle instances in Kubernetes. It handles the entire stack required to run Moodle, including components like Postgres, Keydb, NFS-Ganesha, and Moodle itself. Each of these components has its own Kubernetes Operator, ensuring seamless integration and management.
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Integrate txtai with Postgres
Another key feature of txtai is being able to quickly move from prototyping to production. This article will demonstrate how txtai can integrate with Postgres, a powerful, production-ready and open source object-relational database system. After txtai persists content to Postgres, we'll show it can be directly queried with SQL from any Postgres client
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Understanding SQL vs. NoSQL Databases: A Beginner's Guide
SQL (Structured Query Language) databases are relational databases. They organize data into tables with rows and columns, and they use SQL for querying and managing data. Examples include MySQL, PostgreSQL, and SQLite.
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From zero to hero: using SQL databases in Node.js made easy
Node.js, MySQL and PostgreSQL servers installed on your machine
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I Deployed My Own Cute Lil’ Private Internet (a.k.a. VPC)
Each app’s front end is built with Qwik and uses Tailwind for styling. The server-side is powered by Qwik City (Qwik’s official meta-framework) and runs on Node.js hosted on a shared Linode VPS. The apps also use PM2 for process management and Caddy as a reverse proxy and SSL provisioner. The data is stored in a PostgreSQL database that also runs on a shared Linode VPS. The apps interact with the database using Drizzle, an Object-Relational Mapper (ORM) for JavaScript. The entire infrastructure for both apps is managed with Terraform using the Terraform Linode provider, which was new to me, but made provisioning and destroying infrastructure really fast and easy (once I learned how it all worked).
psycopg2
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Can I learn Python while practicing writing queries for SQL simultaneously? I've recently completed learning SQL and trying to get better at it.
You can practice both by using https://www.psycopg.org from your Python code to communicate with your database. When I wanted to practice some SQL, that's what I did (we use psycopg at work, so that's what I practiced with, making a dream journal thingy for myself that was better than just noting stuff in a notepad because I could then look up e.g. what other stuff was correlated with Y, how many times I dreamed of X, etc. etc.)
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Installing psycopg2==2.8.6 throws an error
But seems like it should work with Django 3, which you have specified https://github.com/psycopg/psycopg2/issues/1293
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Uploading CSVs to a SQL table using Python
If you're using Postgres for your SQL, look at the "copy' method of the psycopg module (see https://www.psycopg.org/articles/2020/11/15/psycopg3-copy/) . It's much faster than INSERTs in my experience (YMMV).
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Underappreciated Challenges with Python Packaging
Back when I used Psycopg2, there was no -binary package, so you'd get libpq set up similarly to pg-native. Docs say:
> The binary package is a practical choice for development and testing but in production it is advised to use the package built from sources.
Relevant GitHub discussion: https://github.com/psycopg/psycopg2/issues/674
I dunno, this seems worse to me.
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Integrate PostgreSQL Database In Python - A Hands-On Guide
Just go to the more easily readable docs here. I’m sorry, but the linked article is terrible.
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Has anyone made the switch from developing in Windows to macOS? Any general or specific advice about the switch?
psycopg2-binary. See https://github.com/psycopg/psycopg2/issues/1286.
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Dockerize a Django, React, and Postgres application with docker and docker-compose | by Anjal Bam
psycopg2-binary, PostgreSQL Database adapter for python.
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My Cookiecutter Django Setup
... # psycopg2==2.9.3 # https://github.com/psycopg/psycopg2 ...
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Why "import blescan as blescan"?
I sometimes do this in testing. For example, consider the library used to communicate with a Postgres database, psycopg.
- Engineers complaining about Docker for Mac?
What are some alternatives?
ClickHouse - ClickHouse® is a real-time analytics DBMS
asyncpg - A fast PostgreSQL Database Client Library for Python/asyncio.
phpMyAdmin - A web interface for MySQL and MariaDB
queries - PostgreSQL database access simplified
Firebird - FB/Java plugin for Firebird
SQLAlchemy - The Database Toolkit for Python
Adminer - Database management in a single PHP file
txpostgres - Twisted wrapper for asynchronous PostgreSQL connections
awesome-mysql - A curated list of awesome MySQL software, libraries, tools and resources
MariaDB - MariaDB server is a community developed fork of MySQL server. Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable, and sanely licensed open SQL server in the industry.
Python PG Extras - Python PostgreSQL database performance insights. Locks, index usage, buffer cache hit ratios, vacuum stats and more.