Entering text in the terminal is complicated
The article explores the complexities and inconsistencies of text input in terminal environments, discussing various modes from basic input to advanced systems like readline and custom solutions. It provides insights into how different programs handle text input, offers tips for users, and explains the origins and features of common keyboard shortcuts used in terminal text editing.
https://jvns.ca/blog/2024/07/08/readline/
The article explores the complexities and inconsistencies of text input in terminal environments, discussing various modes from basic input to advanced systems like readline and custom solutions. It provides insights into how different programs handle text input, offers tips for users, and explains the origins and features of common keyboard shortcuts used in terminal text editing.
https://jvns.ca/blog/2024/07/08/readline/
Julia Evans
Entering text in the terminal is complicated
The other day I asked what folks on Mastodon find confusing about working in the terminal, and one thing that stood out to me was “editing a command you already typed in”.
Maelstrom – A Hermetic, Clustered Test Runner for Python and Rust
https://github.com/maelstrom-software/maelstrom
https://github.com/maelstrom-software/maelstrom
GitHub
GitHub - maelstrom-software/maelstrom: Maelstrom is a fast Rust, Go, and Python test runner that runs every test in its own container.…
Maelstrom is a fast Rust, Go, and Python test runner that runs every test in its own container. Tests are either run locally or distributed to a clustered job runner. - maelstrom-software/maelstrom
Ultra simplified "MNIST" in 60 lines of Python with NumPy
https://github.com/tonio-m/python_neural_network
https://github.com/tonio-m/python_neural_network
GitHub
GitHub - tonio-m/python_neural_network: 🪝"mnist" in 60 lines of code, no dependencies. For educational purposes.
🪝"mnist" in 60 lines of code, no dependencies. For educational purposes. - tonio-m/python_neural_network
Building a Perceptron From Scratch (no frameworks, only math and python)
https://www.youtube.com/watch?v=ilp3ZHTKPNg
https://www.youtube.com/watch?v=ilp3ZHTKPNg
YouTube
Building a Perceptron From SCRATCH (no frameworks, only math and python) - The Origins of AI - Ep.1
I sure love AI! And there is nothing better than when you learn how something works from absolute scratch. In this video series, I would like you to join me on a journey to the origins of AI and Machine Learning. We are using no frameworks, and in this particular…
FastEmbed
Fast, Accurate, Lightweight Python library to make State of the Art Embedding.
https://github.com/qdrant/fastembed
Fast, Accurate, Lightweight Python library to make State of the Art Embedding.
https://github.com/qdrant/fastembed
GitHub
GitHub - qdrant/fastembed: Fast, Accurate, Lightweight Python library to make State of the Art Embedding
Fast, Accurate, Lightweight Python library to make State of the Art Embedding - qdrant/fastembed
Run Multi-Node Django for Time Series Data with TimescaleDB, Celery and more.
Run many iterations of Django across Docker Compose or Raspberry Pis to handle large amounts of time series data.
https://www.youtube.com/watch?v=kykDfDtp7Wg
Run many iterations of Django across Docker Compose or Raspberry Pis to handle large amounts of time series data.
https://www.youtube.com/watch?v=kykDfDtp7Wg
YouTube
Django Tutorial: Run Multi-Node Django for Time Series Data with TimescaleDB, Celery and more.
Run many iterations of Django across Docker Compose or Raspberry Pis to handle large amounts of time series data.
Topics:
✅ Python & Django
✅ Setup Django Project
✅ Integrate Self-Hosted TimescaleDB with Django
✅ Integrate Timescale.com Cloud with Django…
Topics:
✅ Python & Django
✅ Setup Django Project
✅ Integrate Self-Hosted TimescaleDB with Django
✅ Integrate Timescale.com Cloud with Django…
Kedreamix / Linly-Talker
Digital Avatar Conversational System - Linly-Talker. 😄✨ Linly-Talker is an intelligent AI system that combines large language models (LLMs) with visual models to create a novel human-AI interaction method. 🤝🤖 It integrates various technologies like Whisper, Linly, Microsoft Speech Services, and SadTalker talking head generation system. 🌟🔬
https://github.com/Kedreamix/Linly-Talker
Digital Avatar Conversational System - Linly-Talker. 😄✨ Linly-Talker is an intelligent AI system that combines large language models (LLMs) with visual models to create a novel human-AI interaction method. 🤝🤖 It integrates various technologies like Whisper, Linly, Microsoft Speech Services, and SadTalker talking head generation system. 🌟🔬
https://github.com/Kedreamix/Linly-Talker
GitHub
GitHub - Kedreamix/Linly-Talker: Digital Avatar Conversational System - Linly-Talker. 😄✨ Linly-Talker is an intelligent AI system…
Digital Avatar Conversational System - Linly-Talker. 😄✨ Linly-Talker is an intelligent AI system that combines large language models (LLMs) with visual models to create a novel human-AI interaction...
Click: Build Your Own Command Line Interface Tool
This video provides a tutorial on creating a Command Line Interface (CLI) tool in Python using the Click package. The project involves building a simple note-taking tool with functionalities to write, read, update, and delete notes. Additionally, it explores some lesser-known features of Click that enhance tool functionality.
https://www.youtube.com/watch?v=FWacanslfFM
This video provides a tutorial on creating a Command Line Interface (CLI) tool in Python using the Click package. The project involves building a simple note-taking tool with functionalities to write, read, update, and delete notes. Additionally, it explores some lesser-known features of Click that enhance tool functionality.
https://www.youtube.com/watch?v=FWacanslfFM
YouTube
Build AWESOME CLIs With Click in Python
💡 Learn how to design great software in 7 steps: https://arjan.codes/designguide.
In this video, I'll guide you through creating a Command Line Interface (CLI) tool in Python using the Click package. We'll build a simple note-taking tool that can write,…
In this video, I'll guide you through creating a Command Line Interface (CLI) tool in Python using the Click package. We'll build a simple note-taking tool that can write,…
vectorlite
A fast and tunable vector search extension for SQLite.
https://github.com/1yefuwang1/vectorlite
A fast and tunable vector search extension for SQLite.
https://github.com/1yefuwang1/vectorlite
GitHub
GitHub - 1yefuwang1/vectorlite: Fast, SQL powered, in-process vector search for any language with an SQLite driver
Fast, SQL powered, in-process vector search for any language with an SQLite driver - 1yefuwang1/vectorlite
A Python Epoch Timestamp Timezone Trap
This is an article about a Python epoch timestamp timezone trap. It discusses how epoch timestamps can be tricky to work with in Python, especially when dealing with timezones. The author provides a few tips for avoiding the trap.
https://nerderati.com/a-python-epoch-timestamp-timezone-trap/
This is an article about a Python epoch timestamp timezone trap. It discusses how epoch timestamps can be tricky to work with in Python, especially when dealing with timezones. The author provides a few tips for avoiding the trap.
https://nerderati.com/a-python-epoch-timestamp-timezone-trap/
Nerderati
A Python Epoch Timestamp Timezone Trap
I primarily yell at code. Well, I look sternly in its general direction, gently urging it to do my bidding.
AI Dialer
A full stack app for interruptible, low-latency and near-human quality AI phone calls built from stitching LLMs, speech understanding tools, text-to-speech models, and Twilio’s phone API.
https://github.com/akiani/aidialer
A full stack app for interruptible, low-latency and near-human quality AI phone calls built from stitching LLMs, speech understanding tools, text-to-speech models, and Twilio’s phone API.
https://github.com/akiani/aidialer
GitHub
GitHub - akiani/aidialer: A full stack app for interruptible, low-latency and near-human quality AI phone calls built from stitching…
A full stack app for interruptible, low-latency and near-human quality AI phone calls built from stitching LLMs, speech understanding tools, text-to-speech models, and Twilio’s phone API. - akiani/...
PyTorch Lightning: A Comprehensive Hands-On Tutorial
This comprehensive, hands-on tutorial teaches you how to simplify deep learning model development with PyTorch Lightning. Perfect for beginners and experienced developers alike, it covers environment setup, model training, and practical examples.
https://www.datacamp.com/tutorial/pytorch-lightning-tutorial
This comprehensive, hands-on tutorial teaches you how to simplify deep learning model development with PyTorch Lightning. Perfect for beginners and experienced developers alike, it covers environment setup, model training, and practical examples.
https://www.datacamp.com/tutorial/pytorch-lightning-tutorial
Datacamp
PyTorch Lightning: A Comprehensive Hands-On Tutorial
Learn PyTorch Lightning with this comprehensive tutorial. Simplify deep learning with setup, training, and practical examples. Ideal for all skill levels.
Korvus
Korvus is a search SDK that unifies the entire RAG pipeline in a single database query. Built on top of Postgres with bindings for Python, JavaScript, Rust and C.
https://github.com/postgresml/korvus
Korvus is a search SDK that unifies the entire RAG pipeline in a single database query. Built on top of Postgres with bindings for Python, JavaScript, Rust and C.
https://github.com/postgresml/korvus
GitHub
GitHub - postgresml/korvus: Korvus is a search SDK that unifies the entire RAG pipeline in a single database query. Built on top…
Korvus is a search SDK that unifies the entire RAG pipeline in a single database query. Built on top of Postgres with bindings for Python, JavaScript, Rust and C. - postgresml/korvus
A helper for LLM SDKs
LLMEasyTools generates tool schemas and executes function calls received from the LLM.
https://github.com/zby/LLMEasyTools
LLMEasyTools generates tool schemas and executes function calls received from the LLM.
https://github.com/zby/LLMEasyTools
GitHub
GitHub - zby/LLMEasyTools: Tools for LLM agents.
Tools for LLM agents. Contribute to zby/LLMEasyTools development by creating an account on GitHub.
👍1
Finding Simple Rewrite Rules for the JIT with Z3
https://www.pypy.org/posts/2024/07/finding-simple-rewrite-rules-jit-z3.html
https://www.pypy.org/posts/2024/07/finding-simple-rewrite-rules-jit-z3.html
PyPy
Finding Simple Rewrite Rules for the JIT with Z3
In June I was at the PLDI conference in
Copenhagen to present a paper
I co-authored with Max Bernstein. I also finally
met John Regehr, who I'd been talking on social
media for ages but had never met.
Copenhagen to present a paper
I co-authored with Max Bernstein. I also finally
met John Regehr, who I'd been talking on social
media for ages but had never met.