The features of Python's help() function
Python has a built-in help function for getting help... but what can do with help?
https://www.pythonmorsels.com/help-features/
Python has a built-in help function for getting help... but what can do with help?
https://www.pythonmorsels.com/help-features/
Pythonmorsels
The features of Python's help() function
Python's help() function accepts more than functions, modules, and objects. The help() function can lookup help for symbols, keywords, and topics!
olmOCR
A toolkit for training language models to work with PDF documents in the wild.
https://github.com/allenai/olmocr
A toolkit for training language models to work with PDF documents in the wild.
https://github.com/allenai/olmocr
GitHub
GitHub - allenai/olmocr: Toolkit for linearizing PDFs for LLM datasets/training
Toolkit for linearizing PDFs for LLM datasets/training - allenai/olmocr
How I Automated My Podcast Transcript Production With Local AI
The author automated podcast transcription using roboscribe, a Python tool that combines WhisperX for diarized transcription and a local Large Language Model (LLM) for cleaning up the transcript, significantly improving readability. By leveraging local AI models, the author maintains control and optimizes the transcription process on their own hardware, achieving high-quality results in ...
https://den.dev/blog/how-i-automated-podcast-transcription-with-local-ai/
The author automated podcast transcription using roboscribe, a Python tool that combines WhisperX for diarized transcription and a local Large Language Model (LLM) for cleaning up the transcript, significantly improving readability. By leveraging local AI models, the author maintains control and optimizes the transcription process on their own hardware, achieving high-quality results in ...
https://den.dev/blog/how-i-automated-podcast-transcription-with-local-ai/
den.dev
How I Automated My Podcast Transcript Production With Local AI
Discover my journey creating an open-source tool that uses WhisperX and local LLMs to automatically generate polished podcast transcripts. See how this practical AI application helps me maintain quality and accessibility for my listeners while saving countless…
❤2
MLX-Audio
A text-to-speech (TTS) and Speech-to-Speech (STS) library built on Apple's MLX framework, providing efficient speech synthesis on Apple Silicon.
https://github.com/Blaizzy/mlx-audio
A text-to-speech (TTS) and Speech-to-Speech (STS) library built on Apple's MLX framework, providing efficient speech synthesis on Apple Silicon.
https://github.com/Blaizzy/mlx-audio
GitHub
GitHub - Blaizzy/mlx-audio: A text-to-speech (TTS), speech-to-text (STT) and speech-to-speech (STS) library built on Apple's MLX…
A text-to-speech (TTS), speech-to-text (STT) and speech-to-speech (STS) library built on Apple's MLX framework, providing efficient speech analysis on Apple Silicon. - Blaizzy/mlx-audio
VoiceRestore
A cutting-edge speech restoration model designed to significantly enhance the quality of degraded voice recordings.
https://github.com/skirdey/voicerestore
A cutting-edge speech restoration model designed to significantly enhance the quality of degraded voice recordings.
https://github.com/skirdey/voicerestore
GitHub
GitHub - skirdey/voicerestore: VoiceRestore: Flow-Matching Transformers for Universal Speech Restoration
VoiceRestore: Flow-Matching Transformers for Universal Speech Restoration - skirdey/voicerestore
academic-pretraining
$100K or 100 Days: Trade-offs when Pre-Training with Academic Resources.
https://github.com/apoorvkh/academic-pretraining
$100K or 100 Days: Trade-offs when Pre-Training with Academic Resources.
https://github.com/apoorvkh/academic-pretraining
GitHub
GitHub - apoorvkh/academic-pretraining: $100K or 100 Days: Trade-offs when Pre-Training with Academic Resources
$100K or 100 Days: Trade-offs when Pre-Training with Academic Resources - apoorvkh/academic-pretraining
Performance of the Python 3.14 tail-call interpreter
https://blog.nelhage.com/post/cpython-tail-call/
https://blog.nelhage.com/post/cpython-tail-call/
Made of Bugs
Performance of the Python 3.14 tail-call interpreter
A deep dive into the performance of Python 3.14's tail-call interpreter: How the performance results were confounded by an LLVM regression, the surprising complexity of compiling interpreter loops, and some reflections on performance work, software engineering…
"The closer to the train station, the worse the kebab" - A "Study"
This article describes an informal "study" testing the idea that kebabs near Paris train stations are worse. Using data from OSMnx and the Google Places extension, it found no link between a kebab shop's distance from a station and its Google review rating.
https://www.jmspae.se/write-ups/kebabs-train-stations/
This article describes an informal "study" testing the idea that kebabs near Paris train stations are worse. Using data from OSMnx and the Google Places extension, it found no link between a kebab shop's distance from a station and its Google review rating.
https://www.jmspae.se/write-ups/kebabs-train-stations/
An Introduction to Typescript for Pythonistas
This video explores the key differences between TypeScript and Python, focusing on TypeScript from the perspective of a Python developer. It covers topics like type systems, interfaces, callables, and the ecosystem, providing insights into how a Pythonista can approach TypeScript.
https://www.youtube.com/watch?v=kBVZgCrdVCw
This video explores the key differences between TypeScript and Python, focusing on TypeScript from the perspective of a Python developer. It covers topics like type systems, interfaces, callables, and the ecosystem, providing insights into how a Pythonista can approach TypeScript.
https://www.youtube.com/watch?v=kBVZgCrdVCw
YouTube
An Introduction to Typescript for Python Programmers
➡️ Try Lokalise today: https://bit.ly/arjancodes.
TypeScript and Python are both widely used, versatile, and powerful – but actually they couldn’t be more different! In this video, I’m going to explore what you need to know about Typescript as a Pythonista.…
TypeScript and Python are both widely used, versatile, and powerful – but actually they couldn’t be more different! In this video, I’m going to explore what you need to know about Typescript as a Pythonista.…
👍3
Generics and Typeclasses in Knuckledragger
This blog post explores implementing typeclasses and overloading in Knuckledragger, a Python-based proof assistant using Z3. It discusses managing abstraction layers between Python and Z3 expressions using SortDispatch and dataclasses.
https://www.philipzucker.com/knuckle_typeclass/
This blog post explores implementing typeclasses and overloading in Knuckledragger, a Python-based proof assistant using Z3. It discusses managing abstraction layers between Python and Z3 expressions using SortDispatch and dataclasses.
https://www.philipzucker.com/knuckle_typeclass/
Hey There Buddo!
Generics and Typeclasses in Knuckledragger
Some things that I’ve punted on for a while are overloading, typeclasses and algebraic hierarchies in knuckledragger, my low barrier python proof assistant built around z3.
Intro to Machine Learning featuring Generative AI
The course starts with the fundamentals, covering what machine learning is, how it differs from traditional approaches, and where it’s used. It then dives deeper into the mechanics, exploring different models, algorithms, and training processes. Next, it introduces Generative AI, explaining how it creates new content, before wrapping up with the architecture of AI systems and how to desi...
https://www.youtube.com/watch?v=tmB5JIX3Lxk
The course starts with the fundamentals, covering what machine learning is, how it differs from traditional approaches, and where it’s used. It then dives deeper into the mechanics, exploring different models, algorithms, and training processes. Next, it introduces Generative AI, explaining how it creates new content, before wrapping up with the architecture of AI systems and how to desi...
https://www.youtube.com/watch?v=tmB5JIX3Lxk
YouTube
Intro to Machine Learning featuring Generative AI
Welcome to this intro to machine learning course. The course starts with the fundamentals, covering what machine learning is, how it differs from traditional approaches, and where it’s used. It then dives deeper into the mechanics, exploring different models…
A smart and flexible string joining library for Python developers.
SmartJoiner is a Python library for advanced string joining, featuring dynamic separators, conditional joins, localized formatting, and smart text manipulation.
https://pypi.org/project/smartjoiner/
SmartJoiner is a Python library for advanced string joining, featuring dynamic separators, conditional joins, localized formatting, and smart text manipulation.
https://pypi.org/project/smartjoiner/
sinaptik-ai / pandas-ai
Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.
https://github.com/sinaptik-ai/pandas-ai
Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.
https://github.com/sinaptik-ai/pandas-ai
GitHub
GitHub - sinaptik-ai/pandas-ai: Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational…
Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG. - sinaptik-ai/pandas-ai
Search-R1
An Efficient, Scalable RL Training Framework for Reasoning & Search Engine Calling interleaved LLM based on veRL.
https://github.com/PeterGriffinJin/Search-R1
An Efficient, Scalable RL Training Framework for Reasoning & Search Engine Calling interleaved LLM based on veRL.
https://github.com/PeterGriffinJin/Search-R1
GitHub
GitHub - PeterGriffinJin/Search-R1: Search-R1: An Efficient, Scalable RL Training Framework for Reasoning & Search Engine Calling…
Search-R1: An Efficient, Scalable RL Training Framework for Reasoning & Search Engine Calling interleaved LLM based on veRL - PeterGriffinJin/Search-R1
Sphinx documentation template
The template for creating a modern Sphinx documentation. Write in Markdown or reStructuredText, translate to multiple languages, boost with popular extensions, and enjoy automatic live reload.
https://github.com/documatt/sphinx-doc-template
The template for creating a modern Sphinx documentation. Write in Markdown or reStructuredText, translate to multiple languages, boost with popular extensions, and enjoy automatic live reload.
https://github.com/documatt/sphinx-doc-template
GitHub
GitHub - documatt/sphinx-doc-template: A Copier template for creating a modern Sphinx documentation project. Write in Markdown…
A Copier template for creating a modern Sphinx documentation project. Write in Markdown or reStructuredText, translate to multiple languages, boost with popular extensions, and enjoy automatic live...
smallpond
A lightweight data processing framework built on DuckDB and 3FS.
https://github.com/deepseek-ai/smallpond
A lightweight data processing framework built on DuckDB and 3FS.
https://github.com/deepseek-ai/smallpond
GitHub
GitHub - deepseek-ai/smallpond: A lightweight data processing framework built on DuckDB and 3FS.
A lightweight data processing framework built on DuckDB and 3FS. - deepseek-ai/smallpond
❤1