DBeaver
DataGrip
MySQL Workbench
HeidiSQL
phpMyAdmin
Sequel Pro
DbVisualizer
Navicat
Python
Rust
JavaScript
Java
C++
Elixir
Ruby
Haskell
DBeaver PythonBased on our record, Python should be more popular than DBeaver. It has been mentiond 282 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
As a developer, especially for those who work with MySQL databases, using the right SQL tools is crucial as it can simplify daily tasks. Here are the top 3 recommended user-friendly SQL IDEs or SQL Editors: 1. SQLynx SQLynx supports both web-based and client-side operations. It can handle various types of databases including MySQL, PostgreSQL, Oracle.The product has a simple interface and offers excellent... - Source: dev.to / 4 days ago
I usually deal with data spread across multiple databases and my tool for the job of inspecting resources and test some simple queries was dbeaver, which is great, but it can be overwhelming in terms of visual information (specially on my use case). I needed speed, I needed something in the terminal, I needed vim. - Source: dev.to / about 2 months ago
Now that we've talked about databases, we are going to look at some software for connecting and managing your databases. DBeaver is a good free software that works on all platforms. But for those who are using JetBrains, you can also use Datagrip. - Source: dev.to / about 1 month ago
It’s cool to show a demo and talk about the infrastructure with cute diagrams, but I always want to prove, even if just to myself, that things work as expected. So I thought a good way to test it would be to try connecting directly to both databases using my database client, DBeaver. - Source: dev.to / 3 months ago
List of db clients I have bookmarked https://dbeaver.io/. - Source: Hacker News / 3 months ago
Import aiohttp Import asyncio Async def fetch(session, url): async with session.get(url) as response: return await response.text() Async def main(): async with aiohttp.ClientSession() as session: html = await fetch(session, 'https://python.org') print(html) Asyncio.run(main()). - Source: dev.to / 6 days ago
Flat packages are the most common used packages, but distribution packages are more robust and can contain multiple flat packages. That's enough detail for this article but if you want to know more Armin Briegel of ScriptingOSX has a great book covering a lot of the details of these package types. I highly recommend picking up a copy for reference. One of the benefits of Distribution packages is that you can... - Source: dev.to / about 1 month ago
F-strings, introduced in Python 3.6 and later versions, provide a concise and readable way to embed expressions inside string literals. They are created by prefixing a string with the letter ‘f’ or ‘F’. Unlike traditional formatting methods like %-formatting or str.format(), F-strings offer a more straightforward and Pythonic syntax. - Source: dev.to / 4 months ago
Import aiohttp, asyncio Async def fetch_data(i, url): print('Starting', i, url) async with aiohttp.ClientSession() as session: async with session.get(url): print('Finished', i, url) Async def main(): urls = ["https://dev.to", "https://medium.com", "https://python.org"] async_tasks = [fetch_data(i+1, url) for i, url in enumerate(urls)] await... - Source: dev.to / 5 months ago
Threading involves the execution of multiple threads (smaller units of a process) concurrently, enabling better resource utilization and improved responsiveness. Python‘s threading module facilitates the creation, synchronization, and communication between threads, offering a robust foundation for building concurrent applications. - Source: dev.to / 6 months ago
DataGrip - Tool for SQL and databases
Rust - A safe, concurrent, practical language
MySQL Workbench - MySQL Workbench is a unified visual tool for database architects, developers, and DBAs.
JavaScript - Lightweight, interpreted, object-oriented language with first-class functions
HeidiSQL - HeidiSQL is a powerful and easy client for MySQL, MariaDB, Microsoft SQL Server and PostgreSQL. Open source and entirely free to use.
Java - A concurrent, class-based, object-oriented, language specifically designed to have as few implementation dependencies as possible
