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Celebrating 30 Years of MySQL: Free Training & Certification Results 

In 2025, MySQL celebrated its 30th anniversary—and to mark the milestone, Oracle University (together with the MySQL Community team) offered free MySQL training and free certification exams from April 20 through July 31, 2025.  The goal was simple: make it easy for developers, DBAs, architects, and newcomers to build practical skills and validate them with […]Planet MySQL

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The New Season Of ‘Californians Move To Texas’ Is Finally Here

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Steve and Timpani moved from California to Texas in the hit series Californians Move To Texas. There were a few cultural differences they weren’t prepared for in going from California wokeness to Texas freedom. Now their story continues…

In the all-new season, Steve and Timpani’s continued adjustment to all things Texas hits a speed bump when Timpani’s sister, Brittuni, arrives to talk some "California sense" into her gun-loving sister. Can Steve and Timpani’s love survive the wedge slowly being driven between them? And who knows what other surprises may be in store.

Catch the trailer here and get hype:

Episode 1: The Rodeo will premiere on YouTube on April 7 at 7PM PT:

Babylon Bee

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Tournament of Databases: The Winner!

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And we have a winner! It was a busy weekend of match ups and we have our champion.

Round 2 Results

#1 Oracle vs. #2 MongoDB – Winner = Oracle

Oracle has too much enterprise credibility to overcome and they outlast the document database fans to win its matchup.

#1 MySQL vs. #3 DuckDB – Winner = MySQL

While in-process analytics are gaining in importance, the versatility and transactional nature of MySQL makes this a comfortable win for MySQL. 

#1 PostgreSQL vs. #2 Snowflake – Winner =  PostgreSQL

This was a match up of heavyweights with a battle of OTLP leader vs. OLAP leader. A classic matchup of different styles. Ultimately, the open source community of committers and extensions carried PostgreSQL to the victory.  

#1 SQL Server vs. #2 Databricks – Winner = SQL Server

Another battle of styles, where the enterprise chops of SQL Server go up against the momentum of Databricks in data management. Ultimately, Microsoft ability to to recruit from the transfer portal was enough to squeak by Databricks in this last second decision.  

Round 3 Results

#1 Oracle vs. #1 MySQL – Winner = MySQL

It’s the age-old story of the protege vs. the parent figure. Oracle is the owner of both databases but only one is open source. That open source ability allows the community to pull together to push it to victory. This was really a match up of proprietary vs. open source, and today, at least, open source has carried the day. 

#1 PostgreSQL vs. #1 SQL Server – Winner = PostgreSQL

In what has become a theme of the tournament, it’s an open source juggernaut vs. the incumbent proprietary database. While SQL Server had all the support of the windows community, the overall open source community were able to hold on to win. The unsung hero was the extension authors that make PostgreSQL the innovation platform it is.  

Championship Game Results

#1 PostgreSQL vs. #1 MySQL

I think we can all agree that tournaments and databases are better when there are two open source powerhouses to compete. This is the renewal of a 30+ year rivalry and it surely didn’t disappoint. The community and extensions of PostgreSQL showed up when it counted and had MySQL on the ropes in the second hard. Ultimately, the multi-threaded nature of MySQL and its default replication wich have been the bedrock of MySQL usage, were able to hold of Postgres and seal the victory and the championship.

Champion = MySQL 

Summary:

What a thrilling end to the tournament. In the end, it was going to a two horse race by the open source OLTP leaders. It was just a question of which was going to outlast the other. The real winner was open source and the communities that support them, so keep supporting your favorite open source project.

Congrats to MySQL! The winner of the 2026 Tournament of Databases.  

To get more database news and updates, subscribe to the Village Crier or checkout VillageSQL on Github.

Planet for the MySQL Community

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The New ‘Masters of the Universe’ Trailer Brings Eternia to Life

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The first trailer for Masters of the Universe set the tone, and now this second one digs deeper, gets bigger, and really lets us know what we can expect later this summer. There’s more Eternia, more fan-favorite side characters, and more Prince Adam, who finds himself in our world to protect the secrets of his home.

Directed by Travis Knight, Masters of the Universe comes to theaters June 5. It’s the long-awaited, highly anticipated return to live action for the popular toy line/animated series that found new life on Netflix. Here, though, Nicholas Galitzine stars as He-Man, alongside Camila Mendes as Teela, Idris Elba as Man-At-Arms, Alison Brie as Evil-Lyn, Morena Baccarin as the Sorceress, James Purefoy as King Randor, and, who could forget, Jared Leto as Skeletor.

Check out the new trailer for Masters of the Universe below.

We sincerely hope this film can find that tonal balance that Knight found with his Bumblebee movie, but we aren’t so sure. In this day and age, are general audiences ready to embrace such an out-there, fantastical world? Especially one that’s so based on decades-old nostalgia?

We’ll find out soon and have much more on Masters of the Universe in the coming weeks. For now, let us know what you thought of the trailer below.

Want more io9 news? Check out when to expect the latest Marvel, Star Wars, and Star Trek releases, what’s next for the DC Universe on film and TV, and everything you need to know about the future of Doctor Who.

Gizmodo

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Real Python: How to Use Ollama to Run Large Language Models Locally

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Running Ollama in your terminal allows you to start chatting with a local large language model (LLM) quickly. You won’t need API keys, cloud services, or ongoing costs. Ollama is a free, open-source tool that lets you download and run models directly on your machine. By following this guide, you’ll install Ollama, chat with local models from your terminal, and use them to power agentic coding tools:

Example of Using Ollama to Run an LLM Locally

Large language models traditionally require expensive API subscriptions and a constant internet connection. Ollama eliminates both requirements by running models directly on your hardware. Because everything runs locally, your prompts stay on your machine, and no per-token fees apply.

Get Your Cheat Sheet: Click here to download your free Ollama cheat sheet and keep the essential steps and commands for running LLMs locally at your fingertips.

Take the Quiz: Test your knowledge with our interactive “How to Use Ollama to Run Large Language Models Locally” quiz. You’ll receive a score upon completion to help you track your learning progress:

Interactive Quiz

How to Use Ollama to Run Large Language Models Locally

Test your knowledge of running LLMs locally with Ollama. Install it, pull models, chat, and connect coding tools from your terminal.

Prerequisites

To follow this guide, you’ll need the following software and hardware:

  • macOS 14 Sonoma or newer, Windows 10 or newer, or a recent Linux distribution
  • At least 8 GB of RAM, or 16 GB or more for larger models
  • 5–16 GB of free disk space to store models
  • Basic skills with the command line or terminal, including opening a terminal and running commands

No Python installation is required for this guide, and no prior experience with LLMs or AI is needed. If you want to integrate Ollama with Python after finishing here, check out How to Integrate Local LLMs With Ollama and Python.

Step 1: Install Ollama and Pull Your First Model

To quickly install Ollama on your operating system, run the following command based on your platform:

Windows PowerShell

PS> irm https://ollama.com/install.ps1 | iex
Shell

$ curl -fsSL https://ollama.com/install.sh | sh

Once this command finishes, Ollama will be installed on your system.

Note: In some Linux distributions, you may need to install curl to download the installer and the zstd library for extraction. On Debian/Ubuntu, you can install them with the following command:

Shell

$ sudo apt update && sudo apt install curl zstd

Alternatively, you can download a dedicated installer for Windows and macOS. Visit Ollama’s download page to get the installer for those operating systems.

Note: Ollama has a GUI application for macOS and Windows users. This quick guide focuses solely on the command-line (CLI) tool. See Ollama’s app announcement if you want to explore that option.

After installation, you can verify that the CLI is available with the following command:

Shell

$ ollama -v
ollama version is 0.17.7

The Ollama service should be running in the background. Normally, you don’t need to start it manually. It runs on port 11434 by default. If you get a warning after running the command above, then you may need to run the background server manually:

Shell

$ ollama serve

Read the full article at https://realpython.com/ollama/ »

[ Improve Your Python With 🐍 Python Tricks 💌 – Get a short & sweet Python Trick delivered to your inbox every couple of days. >> Click here to learn more and see examples ]

Planet Python

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Other than Apple-1, other world-changing inventions launched in 1976

https://photos5.appleinsider.com/gallery/48649-95006-000-lead-Woz-xl.jpgApple’s 50th anniversary is also the anniversary of the Apple-1. The Apple-1 isn’t the only world-changing product that came out in 1976, with many other world-changing inventions sharing the stage.

Apple founder Steve Wozniak, holding up an Apple-1 green logic board, in a crowd of people
The Apple-1 came out in 1976, but it wasn’t the only history maker

In 1976, Steve Wozniak, Steve Jobs, and Ronald Wayne shipped Apple’s first product — the Apple-1. Fifty years later, absent all three founders for various reasons, the company stands as one of the world’s largest technology companies by revenue. Not only is Apple vastly profitable, it has made incredible globe-spanning strides in computing, smartphones, wearables, and more.

While the Apple-1 is undeniably one of the most important devices in the home computing revolution, it was hardly the only heavy-hitter that came out that year. As it turns out, incredible strides were being made across many industries, ranging from spaceflight to medtech, consumer electronics to cryptography, with many of the inventions laying groundwork for products and systems we see today.

Continue Reading on AppleInsider | Discuss on our ForumsAppleInsider News

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Lerd – A Herd-like local PHP development environment for Linux

Lerd

A Herd-like local PHP development environment for Linux — Podman-native, rootless, zero system dependencies.

Lerd bundles Nginx, PHP-FPM, and optional services (MySQL, Redis, PostgreSQL, Meilisearch, RustFS) as rootless Podman containers, giving you automatic .test domain routing, per-project PHP/Node version isolation, and one-command TLS — all without touching your system’s PHP or web server. Laravel-first, with built-in support for Symfony, WordPress, and any PHP framework via YAML definitions.

Lerd vs Laravel Sail

Laravel Sail is the official per-project Docker Compose solution. Lerd is a shared infrastructure approach, closer to what Laravel Herd does on macOS. Both are valid — they solve slightly different problems.

Lerd Laravel Sail
Nginx One shared container for all sites Per-project
PHP-FPM One container per PHP version, shared Per-project container
Services (MySQL, Redis…) One shared instance Per-project (or manually shared)
.test domains Automatic, zero config Manual /etc/hosts or dnsmasq
HTTPS lerd secure → trusted cert instantly Manual or roll your own mkcert
RAM with 5 projects running ~200 MB ~1–2 GB (5× stacks)
Requires changes to project files No Yes — needs docker-compose.yml committed
Works on legacy / client repos Yes — just lerd link Only if you can add Sail
Defined in code (infra-as-code) No Yes
Team parity (all OS) Linux only macOS, Windows, Linux

Choose Sail when: your team uses it, you need per-project service versions, or you want infrastructure defined in the repo.

Choose Lerd when: you work across many projects at once and don’t want a separate stack per repo, you can’t modify project files, you want instant .test routing, or you’re on Linux and want the Herd experience.

Lerd vs ddev

ddev is a popular open-source local development tool that spins up per-project Docker containers with a shared Traefik router. It supports many frameworks (Laravel, WordPress, Drupal, etc.) and runs on macOS, Windows, and Linux. Lerd is narrower in scope — Laravel-focused, Podman-native, shared infrastructure — closer to the Herd model.

Lerd ddev
Container runtime Rootless Podman Docker (or Orbstack / Colima)
Architecture Shared Nginx + PHP-FPM across all projects Per-project containers + shared Traefik router
Services (MySQL, Redis…) One shared instance Per-project (isolated by default)
Domains .test — automatic, zero config .ddev.site or custom — automatic via Traefik
HTTPS lerd secure → trusted cert instantly Built-in via mkcert
RAM with 5 projects running ~200 MB ~500 MB–1 GB (5× app containers + router)
Requires changes to project files No Yes — needs .ddev/config.yaml committed
Works on legacy / client repos Yes — just lerd link Only if you can add ddev config
Framework support Laravel built-in; any PHP framework via YAML definitions Laravel, WordPress, Drupal, and many more
Defined in code (infra-as-code) No Yes
Team parity (all OS) Linux only macOS, Windows, Linux

Choose ddev when: your team is cross-platform, you work with multiple frameworks (not just Laravel), you want per-project service isolation, or your workflow already depends on Docker.

Choose Lerd when: you’re on Linux, want a zero-config shared stack you can drop any project into without touching its files, prefer rootless Podman, or want the lightweight Herd-like experience.

Next steps

Laravel News Links

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CMMG MK4 DL-44 Blaster .22LR – $899.99

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Limited Time Deal

CMMG MK4 DL-44 Blaster .22LR – $899.99

For Star Wars fans and rimfire shooters alike, the CMMG MK4 DL-44 Blaster is the kind of gun that instantly grabs your attention. Inspired by the iconic look of Han Solo’s legendary blaster, this .22 LR pistol brings sci-fi style into the real world with a hand-carved grip, custom muzzle device, and battle-worn finish that give it serious cinematic appeal.

It is not just a novelty piece, either. Under that unmistakable space-gun profile is a functional semi-auto .22 built on CMMG’s proven platform, making it a fun range gun for collectors, plinkers, and anyone who has ever wanted to own something that looks like it came straight out of a galaxy far, far away.

Top Features

  • Limited-run DL-44 Blaster styling with hand-carved grip
  • Battle-worn Cerakote finish makes each pistol look unique
  • Lightweight 3.3 lb setup for easy handling
  • 4.5″ barrel with 1/2×28 threads for added versatility
  • Semi-auto .22 LR fun with a 10-round capacity

Why Shooters Love It

The CMMG MK4 DL-44 Blaster delivers more than just looks. It gives shooters a lightweight, semi-auto .22 LR pistol built on CMMG’s platform, blending collectible appeal with practical range fun. The threaded barrel, billet upper, forged lower, and limited-production styling make this one stand out for plinking, display, or just owning something different from the usual rimfire lineup.

Unbeatable Price

  • Regular Price: $1,199.99
  • Deal Price: $899.99
    • You Save: $300.00 (25% off)

2025-Buy-Now-Button x300

Before you buy read AmmoLand News’s complete Daily Deal Disclaimer here.

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