Introducing DjangoVer
The article introduces DjangoVer, a versioning system for Django-related packages that aligns the package version with the latest supported Django feature release. It provides clarity on compatibility, signaling maintenance and compatibility status through the version number while addressing limitations of traditional versioning systems like Semantic Versioning.
https://www.b-list.org/weblog/2024/nov/18/djangover/
The article introduces DjangoVer, a versioning system for Django-related packages that aligns the package version with the latest supported Django feature release. It provides clarity on compatibility, signaling maintenance and compatibility status through the version number while addressing limitations of traditional versioning systems like Semantic Versioning.
https://www.b-list.org/weblog/2024/nov/18/djangover/
James Bennett
Introducing DjangoVer
Version numbering is hard, and there are lots of popular schemes out there for how to do it. Today I …
Is async django ready for prime time?
Explore async Django's readiness for production use, its benefits, challenges, and how AI workloads can leverage its capabilities effectively.
https://jonathanadly.com/is-async-django-ready-for-prime-time
Explore async Django's readiness for production use, its benefits, challenges, and how AI workloads can leverage its capabilities effectively.
https://jonathanadly.com/is-async-django-ready-for-prime-time
Jonathan's blog
Django Async: Ready for Prime Time?
Explore async Django's readiness for production use, its benefits, challenges, and how AI workloads can leverage its capabilities effectively
EasyAnimate
An End-to-End Solution for High-Resolution and Long Video Generation Based on Transformer Diffusion.
https://github.com/aigc-apps/EasyAnimate
An End-to-End Solution for High-Resolution and Long Video Generation Based on Transformer Diffusion.
https://github.com/aigc-apps/EasyAnimate
GitHub
GitHub - aigc-apps/EasyAnimate: 📺 An End-to-End Solution for High-Resolution and Long Video Generation Based on Transformer Diffusion
📺 An End-to-End Solution for High-Resolution and Long Video Generation Based on Transformer Diffusion - aigc-apps/EasyAnimate
Is Python Really That Slow?
The post explores Python's perceived slowness, highlighting that it stems from its interpreted nature and focus on developer productivity rather than raw performance. By leveraging tools like C extensions, async programming, or just-in-time compilers, developers can often overcome performance concerns effectively.
https://blog.miguelgrinberg.com/post/is-python-really-that-slow
The post explores Python's perceived slowness, highlighting that it stems from its interpreted nature and focus on developer productivity rather than raw performance. By leveraging tools like C extensions, async programming, or just-in-time compilers, developers can often overcome performance concerns effectively.
https://blog.miguelgrinberg.com/post/is-python-really-that-slow
Miguelgrinberg
Is Python Really That Slow?
My standard response when someone asks me how I deal with Python being such a slow language is that Python is by far the fastest to write, cleanest, more maintainable programming language I know, and…
Benchmark: DuckDB, Polars, Pandas, Arrow, SQLite, NanoCube on filtering / point queryies
https://www.reddit.com/r/Python/comments/1gyoi7n/benchmark_duckdb_polars_pandas_arrow_sqlite/
https://www.reddit.com/r/Python/comments/1gyoi7n/benchmark_duckdb_polars_pandas_arrow_sqlite/
Reddit
From the Python community on Reddit: Benchmark: DuckDB, Polars, Pandas, Arrow, SQLite, NanoCube on filtering / point queryies
Explore this post and more from the Python community
PacktPublishing / LLM-Engineers-Handbook
The LLM's practical guide: From the fundamentals to deploying advanced LLM and RAG apps to AWS using LLMOps best practices
https://github.com/PacktPublishing/LLM-Engineers-Handbook
The LLM's practical guide: From the fundamentals to deploying advanced LLM and RAG apps to AWS using LLMOps best practices
https://github.com/PacktPublishing/LLM-Engineers-Handbook
GitHub
GitHub - PacktPublishing/LLM-Engineers-Handbook: The LLM's practical guide: From the fundamentals to deploying advanced LLM and…
The LLM's practical guide: From the fundamentals to deploying advanced LLM and RAG apps to AWS using LLMOps best practices - PacktPublishing/LLM-Engineers-Handbook
garak
garak checks if an LLM can be made to fail in a way we don't want. garak probes for hallucination, data leakage, prompt injection, misinformation, toxicity generation, jailbreaks, and many other weaknesses.
https://github.com/NVIDIA/garak
garak checks if an LLM can be made to fail in a way we don't want. garak probes for hallucination, data leakage, prompt injection, misinformation, toxicity generation, jailbreaks, and many other weaknesses.
https://github.com/NVIDIA/garak
GitHub
GitHub - NVIDIA/garak: the LLM vulnerability scanner
the LLM vulnerability scanner. Contribute to NVIDIA/garak development by creating an account on GitHub.
LAMBDA
A local AI-powered email automation system that learns from your email style and creates draft responses for every unread email in your (Gmail) inbox.
https://github.com/zycyc/LAMBDA
A local AI-powered email automation system that learns from your email style and creates draft responses for every unread email in your (Gmail) inbox.
https://github.com/zycyc/LAMBDA
GitHub
GitHub - zycyc/LAMBDA: Local & Private LLM that drafts responses LIKE you automatically
Local & Private LLM that drafts responses LIKE you automatically - zycyc/LAMBDA
Final Encoding in RPython Interpreters
The article discusses implementing a final encoding approach in RPython for interpreter design, focusing on a Brainfk interpreter as an example. It explores the benefits of using final encoding over initial encoding, including potential performance improvements and a different architectural approach to building interpreters in RPython.
https://pypy.org/posts/2024/11/guest-post-final-encoding-in-rpython.html
The article discusses implementing a final encoding approach in RPython for interpreter design, focusing on a Brainfk interpreter as an example. It explores the benefits of using final encoding over initial encoding, including potential performance improvements and a different architectural approach to building interpreters in RPython.
https://pypy.org/posts/2024/11/guest-post-final-encoding-in-rpython.html
PyPy
Guest Post: Final Encoding in RPython Interpreters
Introduction
This post started as a quick note summarizing a recent experiment I carried
out upon a small RPython interpreter by rewriting it in an uncommon style. It
is written for folks who have alr
This post started as a quick note summarizing a recent experiment I carried
out upon a small RPython interpreter by rewriting it in an uncommon style. It
is written for folks who have alr
open-notebook
An Open Source implementation of Notebook LM with more flexibility and features.
https://github.com/lfnovo/open-notebook
An Open Source implementation of Notebook LM with more flexibility and features.
https://github.com/lfnovo/open-notebook
GitHub
GitHub - lfnovo/open-notebook: An Open Source implementation of Notebook LM with more flexibility and features
An Open Source implementation of Notebook LM with more flexibility and features - lfnovo/open-notebook
Am I the only one who forgets everyday how to plot on matplotlib?
https://www.reddit.com/r/learnpython/comments/1gyrjjf/am_i_the_only_one_who_forgets_everyday_how_to/
https://www.reddit.com/r/learnpython/comments/1gyrjjf/am_i_the_only_one_who_forgets_everyday_how_to/
Reddit
From the learnpython community on Reddit
Explore this post and more from the learnpython community
Python Tutorial: Stock Trading Bot
This tutorial teaches how to build a stock trading bot using Django and TimescaleDB, covering data extraction from APIs, analysis, and automated recommendations. It integrates Celery for background processing and demonstrates advanced database queries in Django, showcasing the power of time series data handling for various applications beyond stock market analysis.
https://www.youtube.com/watch?v=O3O1z5hTdUM
This tutorial teaches how to build a stock trading bot using Django and TimescaleDB, covering data extraction from APIs, analysis, and automated recommendations. It integrates Celery for background processing and demonstrates advanced database queries in Django, showcasing the power of time series data handling for various applications beyond stock market analysis.
https://www.youtube.com/watch?v=O3O1z5hTdUM
YouTube
Python Tutorial: Stock Trading Bot
⭐️ Sign up for Timescale right now: https://tsdb.co/justin
Build a Stock Trading Bot with Python
Learn how to use time series data with Django by building a powerful stock trading bot. You'll learn how to extract stock market data via two API services…
Build a Stock Trading Bot with Python
Learn how to use time series data with Django by building a powerful stock trading bot. You'll learn how to extract stock market data via two API services…
FireDucks
Compiler Accelerated DataFrame Library for Python with fully-compatible pandas API.
https://fireducks-dev.github.io/
Compiler Accelerated DataFrame Library for Python with fully-compatible pandas API.
https://fireducks-dev.github.io/
fireducks-dev.github.io
FireDucks is a fast DataFrame python library with pandas-api
Bagels - Expense tracker that lives in your terminal (TUI)
https://www.reddit.com/r/Python/comments/1gy0r1v/bagels_expense_tracker_that_lives_in_your/
https://www.reddit.com/r/Python/comments/1gy0r1v/bagels_expense_tracker_that_lives_in_your/
Reddit
From the Python community on Reddit: Bagels - Expense tracker that lives in your terminal (TUI)
Explore this post and more from the Python community
letta-ai / letta
Letta (formerly MemGPT) is a framework for creating LLM services with memory.
https://github.com/letta-ai/letta
Letta (formerly MemGPT) is a framework for creating LLM services with memory.
https://github.com/letta-ai/letta
GitHub
GitHub - letta-ai/letta: Letta (formerly MemGPT) is the stateful agents framework with memory, reasoning, and context management.
Letta (formerly MemGPT) is the stateful agents framework with memory, reasoning, and context management. - letta-ai/letta