Ideal for IT departments and MSPs (managed service providers)
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$300 Free Credits to Build on Google Cloud
New to Google Cloud? Get $300 in credits to explore Compute Engine, BigQuery, Cloud Run, Gemini Enterprise Agent Platform, and more.
Start your next project with $300 in free Google Cloud credit. Spin up VMs, run containers, query petabytes in BigQuery, or build agents with Gemini Enterprise Agent Platform. Once your credits are used, keep building with 20+ always-free tier products including Compute Engine, Cloud Storage, GKE, and Cloud Run functions. No commitment required—just sign up and start building.
A set of tools (command line and GUI) to provide a complete digital photo workflow for Unixes. EXIF headers are used as the central information repository, so users may change their software at any time without loosing any data.
BlackPack is a utility to aid in creating installable RedHat packages (.rpm).
The goal behind the project is to make developing for RedHat based Linux distributions more appealing, with an easy to use interface for packaging applications, artwork, media, themes, etc.
Copy multiples feature classes in ArcSDE to a local file geodatabase
Why use it?
You can create your own Python script using modelbuilder, but you have to modify the script everytime you want to dump different tables. Using this script you only need to have a CSV with all the table names, that’s it.
Purpose:
It can be used as an archival and historical database
It will make you ArcSDE database portable and shareable
Everything you need to build production-ready agents and models. Access 200+ Google and third-party AI models and tools.
Gemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
DataFinder is a data management client developed in Python that primarily targets the management of scientific technical data. The system is able to handle large amounts of data and can be easily integrated in existing working environments.