postgres-word2vec
psycopg2
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| postgres-word2vec | psycopg2 | |
|---|---|---|
| 2 | 19 | |
| 137 | 3,096 | |
| - | 1.5% | |
| 2.7 | 8.1 | |
| about 2 years ago | about 1 month ago | |
| C | C | |
| MIT License | 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.
postgres-word2vec
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Storing word / document vectors in RDBMS
I've recently stumbled upon smaller projects, like FREDDY (https://github.com/guenthermi/postgres-word2vec), a Postgres extension that looks interesting. The ability to write ad-hoc similarity queries in SQL seems like it might be valuable in some circumstances. I'm not sure about performance or storage efficacy.
psycopg2
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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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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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How to deploy the Front-end(React) and Backend(Django) with Postgres at Heroku
psycopg2: Psycopg is a PostgreSQL adapter for the Python programming language.
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How To Access And Query Your Amazon Redshift Data Using Python And R
Since Redshift is compatible with other databases such as PostgreSQL, we use the Python psycopg library to access and query the data from Redshift. We will then store the query results as a dataframe in pandas using the SQLAlchemy library.
- Exemplo de AWS API Gateway com Lambda pelo Terraform
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Using YugabyteDB in Python App Development
Since we are going to use both PostgreSQL and Apache Cassandra data model, we need to install those two drivers: psycopg2 for PostgreSQL and Python Driver for Apache Cassandra.
What are some alternatives?
asyncpg - A fast PostgreSQL Database Client Library for Python/asyncio.
queries - PostgreSQL database access simplified
SQLAlchemy - The Database Toolkit for Python
PostgreSQL - Mirror of the official PostgreSQL GIT repository. Note that this is just a *mirror* - we don't work with pull requests on github. To contribute, please see https://wiki.postgresql.org/wiki/Submitting_a_Patch
txpostgres - Twisted wrapper for asynchronous PostgreSQL connections
awesome-mysql - A curated list of awesome MySQL software, libraries, tools and resources
Python PG Extras - Python PostgreSQL database performance insights. Locks, index usage, buffer cache hit ratios, vacuum stats and more.
clickhouse-driver - ClickHouse Python Driver with native interface support
yugabyte-db - YugabyteDB - the cloud native distributed SQL database for mission-critical applications.
pgaudit - PostgreSQL Audit Extension
LocalStack - 💻 A fully functional local AWS cloud stack. Develop and test your cloud & Serverless apps offline
django-pgtrigger - Write Postgres triggers for your Django models