sqllex
pydwt
| sqllex | pydwt | |
|---|---|---|
| 16 | 1 | |
| 88 | 10 | |
| - | - | |
| 0.0 | 5.4 | |
| almost 2 years ago | about 1 year ago | |
| Python | Python | |
| GNU General Public License v3.0 only | 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.
sqllex
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ORM for beginners | SQLite + sqllex
P.S.:Here is few useful links: — Sqllex ORM (github page) — Sqllex docs — Project showcase — Another example #0 — Another example #1
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Any alternatives to SQLAlchemy Core for a "query builder" library?
FYI: If you're looking for something with more than one user, take a look at sqllex, which is a great query builder along the same lines. I made HissDB because sqllex didn't parameterize its queries, but I believe they've fixed that issue since then.
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Finally release v0.2.0.0 (sqllex)
Sqllex it's nice Python ORM available for SQLite and PostgreSQL. I have made many examples and posts about this. So let me know what you think about this project.
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FINALLY v0.2.0.0 RELEASE!
Just released SQLLEX v0.2.0.0 after 2 months of preparing. Sqllex it's ORM for SQLite and (by now) PostgreSQL. I made many examples and posts about it. And I'll be happy if you'll try it by yourself in your projects.
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SQLLEX ORM | How to use SQLite without SQL
"SQLLEX | Awesome example #1"
How I got later, this technology calls ORM (Object-Relational Mapping) and I'm not the first one who create something like this. But in my opinion, SQLLEX is the most intuitive ORM I'v ever seen and I'm interested what do you think. Check this out.
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How to auto-doc your project?
Last few months I'm working on my biggest project Sqllex. All this time I have been using the wiki tab (on github) to document the project. But this project is getting so big that it gets really difficult.
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Best Python course for beginners
Sqllex - just a nice tool for comfortable and safe working with SQLite databases.
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How reddit bring developers together | SQLLEX
Sqllex package has been downloaded from pypi.org over 550 times, github repo got 45 new stars.
- SQLLEX is promoting your projects
pydwt
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At what point is Python not answer for piping data?
Here's the link to the Git repository: https://github.com/Mg30/pydwt. Let me know what you think.
What are some alternatives?
PyPika - PyPika is a python SQL query builder that exposes the full richness of the SQL language using a syntax that reflects the resulting query. PyPika excels at all sorts of SQL queries but is especially useful for data analysis.
dbd - dbd is a database prototyping tool that enables data analysts and engineers to quickly load and transform data in SQL databases.
aiosqlite - asyncio bridge to the standard sqlite3 module
dbt-tidb - A dbt adapter for TiDB
jaydebeapi - JayDeBeApi module allows you to connect from Python code to databases using Java JDBC. It provides a Python DB-API v2.0 to that database.
Python PG Extras - Python PostgreSQL database performance insights. Locks, index usage, buffer cache hit ratios, vacuum stats and more.
Skytrax-Data-Warehouse - A full data warehouse infrastructure with ETL pipelines running inside docker on Apache Airflow for data orchestration, AWS Redshift for cloud data warehouse and Metabase to serve the needs of data visualizations such as analytical dashboards.
rgpocode - A Python script of a sqlite3 based reverse geocoder using postal codes
data-diff - Compare tables within or across databases
pangres - SQL upsert using pandas DataFrames for PostgreSQL, SQlite and MySQL with extra features
FrameRecorder - Imagine you are drawing pictures or writing a program on your computer. Wouldn't you like to shoot small clips of your work while doing this? That's when Frame Recorder comes to your aid. It will save it for you! See hours of process in just a few minutes!