Nano Banana can be prompt engineered for extremely nuanced AI image generation
The article highlights Nano Banana’s capability for exceptionally nuanced AI image generation, leveraging a large 32,768-token context window to enable highly detailed and controlled prompts. These features allow for precise adjustments and creative experimentation, pushing the boundaries of prompt engineering in AI art.
https://minimaxir.com/2025/11/nano-banana-prompts
The article highlights Nano Banana’s capability for exceptionally nuanced AI image generation, leveraging a large 32,768-token context window to enable highly detailed and controlled prompts. These features allow for precise adjustments and creative experimentation, pushing the boundaries of prompt engineering in AI art.
https://minimaxir.com/2025/11/nano-banana-prompts
Minimaxir
Nano Banana can be prompt engineered for extremely nuanced AI image generation
Nano Banana allows 32,768 input tokens and I’m going to try to use them all dammit.
RLinf
RLinf is a flexible and scalable open-source infrastructure designed for post-training foundation models (LLMs, VLMs, VLAs) via reinforcement learning.
https://github.com/RLinf/RLinf
RLinf is a flexible and scalable open-source infrastructure designed for post-training foundation models (LLMs, VLMs, VLAs) via reinforcement learning.
https://github.com/RLinf/RLinf
GitHub
GitHub - RLinf/RLinf: RLinf is a flexible and scalable open-source infrastructure designed for post-training foundation models…
RLinf is a flexible and scalable open-source infrastructure designed for post-training foundation models (LLMs, VLMs, VLAs) via reinforcement learning. - RLinf/RLinf
Learning Python Feels Easy. Until It Isn’t.
The video explains the real learning curve of Python from beginner basics to writing professional, testable code. It covers mastering Python fundamentals, writing Pythonic code, understanding types and abstractions, designing better software, and incorporating testing for maintainable and scalable Python development.
https://www.youtube.com/watch?v=8_Pf4y5yqCE
The video explains the real learning curve of Python from beginner basics to writing professional, testable code. It covers mastering Python fundamentals, writing Pythonic code, understanding types and abstractions, designing better software, and incorporating testing for maintainable and scalable Python development.
https://www.youtube.com/watch?v=8_Pf4y5yqCE
YouTube
Learning Python Feels Easy. Until It Isn’t.
→ Python Programming Fundamentals course (DataCamp): https://datacamp.pxf.io/POPxVR
→ Associate Python Developer track (DataCamp): https://datacamp.pxf.io/Dy2oea
Python is often praised as the easiest programming language to learn, but that simplicity can…
→ Associate Python Developer track (DataCamp): https://datacamp.pxf.io/Dy2oea
Python is often praised as the easiest programming language to learn, but that simplicity can…
Heartbeats in Distributed Systems
Heartbeats in distributed systems are periodic signals sent by nodes to indicate they are alive and functioning, enabling monitoring systems to detect failures or unresponsiveness promptly. These heartbeats help maintain system health, support fault detection, load balancing, and consistency by allowing systems to respond timely to node failures or network partitions.
https://arpitbhayani.me/blogs/heartbeats-in-distributed-systems
Heartbeats in distributed systems are periodic signals sent by nodes to indicate they are alive and functioning, enabling monitoring systems to detect failures or unresponsiveness promptly. These heartbeats help maintain system health, support fault detection, load balancing, and consistency by allowing systems to respond timely to node failures or network partitions.
https://arpitbhayani.me/blogs/heartbeats-in-distributed-systems
Arpit Bhayani
Heartbeats in Distributed Systems
In distributed systems, one of the fundamental challenges is knowing whether a node or service is alive and functioning properly. Unlike monolithic applications, where everything runs in a single process, distributed systems span multiple machines, networks…
Ax
Ax is an accessible, general-purpose platform for understanding, managing, deploying, and automating adaptive experiments.
https://github.com/facebook/Ax
Ax is an accessible, general-purpose platform for understanding, managing, deploying, and automating adaptive experiments.
https://github.com/facebook/Ax
GitHub
GitHub - facebook/Ax: Adaptive Experimentation Platform
Adaptive Experimentation Platform. Contribute to facebook/Ax development by creating an account on GitHub.
Transform Data From Structured Source in PostgreSQL
https://cocoindex.io/docs/examples/postgres_source
https://cocoindex.io/docs/examples/postgres_source
cocoindex.io
Transform Data From Structured Source in PostgreSQL | CocoIndex
Transform data from PostgreSQL table as source, transform with both AI models and non-AI data mappings, and write them into PostgreSQL/PgVector for semantic + structured search.
tiny-diffusion
A character-level language diffusion model trained on Tiny Shakespeare.
https://github.com/nathan-barry/tiny-diffusion
A character-level language diffusion model trained on Tiny Shakespeare.
https://github.com/nathan-barry/tiny-diffusion
GitHub
GitHub - nathan-barry/tiny-diffusion: A character-level language diffusion model trained on Tiny Shakespeare
A character-level language diffusion model trained on Tiny Shakespeare - nathan-barry/tiny-diffusion
Floodfill algorithm in Python
Learn how to implement and use the floodfill algorithm in Python.
https://mathspp.com/blog/floodfill-algorithm-in-python
Learn how to implement and use the floodfill algorithm in Python.
https://mathspp.com/blog/floodfill-algorithm-in-python
Mathspp
Floodfill algorithm in Python
Learn how to implement and use the floodfill algorithm in Python.
Depth-Anything-3
Recovering the Visual Space from Any Views.
https://github.com/ByteDance-Seed/Depth-Anything-3
Recovering the Visual Space from Any Views.
https://github.com/ByteDance-Seed/Depth-Anything-3
GitHub
GitHub - ByteDance-Seed/Depth-Anything-3: Depth Anything 3
Depth Anything 3. Contribute to ByteDance-Seed/Depth-Anything-3 development by creating an account on GitHub.
Migrating to Positron, a next-generation data science IDE for Python and R
https://posit.co/blog/positron-migration-guides
https://posit.co/blog/positron-migration-guides
Posit
Guides for migrating to Positron - Posit
We share migration guide for users transitioning from VS Code and RStudio to Positron.
🌟 Myfy: a modular Python framework with a built-in frontend
https://www.reddit.com/r/Python/comments/1olyidq/myfy_a_modular_python_framework_with_a_builtin/
https://www.reddit.com/r/Python/comments/1olyidq/myfy_a_modular_python_framework_with_a_builtin/
Reddit
From the Python community on Reddit: 🌟 Myfy: a modular Python framework with a built-in frontend
Explore this post and more from the Python community
Django: implement HTTP bearer authentication
HTTP has a general authentication framework that defines a pattern into which various ...
https://adamj.eu/tech/2025/11/25/django-bearer-authentication/
HTTP has a general authentication framework that defines a pattern into which various ...
https://adamj.eu/tech/2025/11/25/django-bearer-authentication/
adamj.eu
Django: implement HTTP bearer authentication - Adam Johnson
HTTP has a general authentication framework that defines a pattern into which various authentication schemes can fit. Clients may provide an authorization request header that contains a credential. If authorization is missing or invalid, the server may respond…
Whats the difference between using ' ' and " " in python?
https://www.reddit.com/r/learnpython/comments/1pbg16p/whats_the_difference_between_using_and_in_python/
https://www.reddit.com/r/learnpython/comments/1pbg16p/whats_the_difference_between_using_and_in_python/
Reddit
From the learnpython community on Reddit
Explore this post and more from the learnpython community
The Python skill nobody taught me… but it changed everything
https://www.reddit.com/r/learnpython/comments/1p9khr8/the_python_skill_nobody_taught_me_but_it_changed/
https://www.reddit.com/r/learnpython/comments/1p9khr8/the_python_skill_nobody_taught_me_but_it_changed/
Reddit
From the learnpython community on Reddit
Explore this post and more from the learnpython community
Django: Introducing django-http-compression
HTTP supports response compression, which can significantly reduce the size of responses, thereby ...
https://adamj.eu/tech/2025/10/10/introducing-django-http-compression/
HTTP supports response compression, which can significantly reduce the size of responses, thereby ...
https://adamj.eu/tech/2025/10/10/introducing-django-http-compression/
adamj.eu
Django: Introducing django-http-compression - Adam Johnson
HTTP supports response compression, which can significantly reduce the size of responses, thereby decreasing bandwidth usage and load times for users. It’s a cheap and valuable technique for improving website performance.