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Source channel @githubtrending · Post #14842 · Jun 19
#typescript Cloudflare AI offers tools and packages to help you build and run AI applications easily on Cloudflare’s global network, using their Workers AI and AI Gateway services. You can develop, test, and deploy AI-powered apps with low latency and high performance, thanks to Cloudflare’s edge computing and GPU infrastructure. The platform supports popular AI models and integrates with other Cloudflare services like vector databases and data lakes, reducing complexity and cost. It also ensures privacy by not training models on your data. This setup helps you quickly create scalable, efficient AI apps that deliver great user experiences and comply with data rules. https://github.com/cloudflare/ai
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@djangoproject · Post #346 · 06/21/2017, 07:24 AM
http://mongoengine.org To get to grips with MongoEngine, there is extensive documentation, API references and a tutorial. You can find help by joining the MongoEngine Users mailing list or by chatting with other users on the #mongoengine IRC channel.
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@djangoproject · Post #364 · 07/04/2017, 03:25 AM
http://mongoengine.readthedocs.io/en/latest/index.html #MongoEngine is an Object-Document Mapper, written in #Python for working with #MongoDB. To install it, simply run #Django
@djangoproject · Post #373 · 07/05/2017, 06:39 AM
https://realpython.com/blog/python/introduction-to-mongodb-and-python/#.WMfv6BURLc4.linkedin #SQL vs #NoSQL #MongoDB #PyMongo #MongoEngine Conclusion
@djangoproject · Post #421 · 08/21/2017, 10:39 AM
https://alysivji.github.io/flask-part1-generating-html-pages-with-mongoengine-jinja2.html Generating HTML Pages from #MongoDB with #MongoEngine and #Jinja2 (Flask Part 1) Summary Overview of MongoDB Discussion of Object-Relational Mapping (#ORM) Use MongoEngine to get items out of MongoDB Render #HTML pages using Jinja2 Interact with #REST API to send emails with #Requests