Tornado
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Tornado is a Python web framework and asynchronous networking library. It uses non-blocking network I/O, can handle thousands of open connections, and is well-suited for real-time web services. Tornado uses the MVC pattern and supports integration with databases via ORM tools like Django ORM. It also supports features like auto-generated admin interfaces and uses technologies like Bootstrap for front-end interfaces.
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June Patch Tuesday
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
Generating privacy-protected synthetic data using Secludy and Milvus
During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.
Digital Banking in the Cloud: How Citizens Bank Unlocked Their Mainframe
Inconsistent user experience and siloed data, high costs, and changing customer expectations – Citizens Bank was experiencing these challenges while it was attempting to deliver a superior digital banking experience for its clients. Its core banking applications run on the mainframe and Citizens was using legacy utilities to get the critical mainframe data to feed customer-facing channels, like call centers, web, and mobile. Ultimately, this led to higher operating costs (MIPS), delayed response times, and longer time to market.
Ever-changing customer expectations demand more modern digital experiences, and the bank needed to find a solution that could provide real-time data to its customer channels with low latency and operating costs. Join this session to learn how Citizens is leveraging Precisely to replicate mainframe data to its customer channels and deliver on their “modern digital bank” experiences.
Programming Foundation Models with DSPy - Meetup Slides
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
Freshworks Rethinks NoSQL for Rapid Scaling & Cost-Efficiency
Freshworks creates AI-boosted business software that helps employees work more efficiently and effectively. Managing data across multiple RDBMS and NoSQL databases was already a challenge at their current scale. To prepare for 10X growth, they knew it was time to rethink their database strategy. Learn how they architected a solution that would simplify scaling while keeping costs under control.
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Tornado
- 1. Tornado
- 2. / Wuvist • • • email/gtalk/G+: wuvist@gmail.com • QQ: 124424 • http://twitter.com/Wuvist
- 3. Tornado
- 4. Tornado • Facebook / FriendFeed
- 5. Tornado • Facebook / FriendFeed • Python MVC
- 6. Model
- 7. Model
- 8. Model •M Web
- 9. Model • M Web • Tornado M
- 11. •
- 12. • •
- 13. • • • Django ORM
- 14. • • • Django ORM •
- 17. • ActiveRecord Pattern • Mysql + Redis
- 19. • M • M • M
- 21. • Auto Admin
- 24. • Bootstap • http://twitter.github.com/bootstrap/
- 26. 20 / 80 • 80% • 20%
- 27. View
- 29. • • AJAX • JSON • /
- 30. -
- 31. -
- 32. • •“ ”Tornado jQuery • “ ”
- 34. • if obj.user == current_user
- 35. Controller
- 36. Controller • AsyncHTTPClient • OAuthMixin • • push
- 37. Q &A
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