Man and machine: GPT for second brains
In this post, I discuss how I used GPT embeddings to build a smart search tool for my second brain note-taking system.
https://reasonabledeviations.com/2023/02/05/gpt-for-second-brain/
In this post, I discuss how I used GPT embeddings to build a smart search tool for my second brain note-taking system.
https://reasonabledeviations.com/2023/02/05/gpt-for-second-brain/
Reasonabledeviations
Man and machine: GPT for second brains · Reasonable Deviations
Academic blog about quantitative finance, programming, maths.
How to Use FastAPI: A Detailed Python Tutorial
In this tutorial, I'll show you how to get started with FastAPI in Python. By the end of this video, you'll know everything you need to get started with developing your own APIs!
https://www.youtube.com/watch?v=SORiTsvnU28
In this tutorial, I'll show you how to get started with FastAPI in Python. By the end of this video, you'll know everything you need to get started with developing your own APIs!
https://www.youtube.com/watch?v=SORiTsvnU28
YouTube
How to Use FastAPI: A Detailed Python Tutorial
💡 Learn how to design great software in 7 steps: https://arjan.codes/designguide.
In this tutorial, I'll show you how to get started with FastAPI in Python. By the end of this video, you'll know everything you need to get started with developing your own…
In this tutorial, I'll show you how to get started with FastAPI in Python. By the end of this video, you'll know everything you need to get started with developing your own…
Understanding and Coding the Self-Attention Mechanism of Large Language Models From Scratch
In this article, we are going to understand how self-attention works from scratch. This means we will code it ourselves one step at a time.
https://sebastianraschka.com/blog/2023/self-attention-from-scratch.html
In this article, we are going to understand how self-attention works from scratch. This means we will code it ourselves one step at a time.
https://sebastianraschka.com/blog/2023/self-attention-from-scratch.html
Sebastian Raschka, PhD
Understanding and Coding the Self-Attention Mechanism of Large Language Models From Scratch
In this article, we are going to understand how self-attention works from scratch. This means we will code it ourselves one step at a time. Since its introdu...
The state of Python in blockchain - 2023 report
This report provides an overview of the current state of Python programming language technologies in blockchain software development ecosystems for 2023. We examine blockchain projects and tooling that use Python or are related to Python and why this overlap is significant. We highlight new and exciting projects and opportunities for Python developers.
https://tradingstrategy.ai/blog/the-state-of-python-in-blockchain-in-2023
This report provides an overview of the current state of Python programming language technologies in blockchain software development ecosystems for 2023. We examine blockchain projects and tooling that use Python or are related to Python and why this overlap is significant. We highlight new and exciting projects and opportunities for Python developers.
https://tradingstrategy.ai/blog/the-state-of-python-in-blockchain-in-2023
Trading Strategy
The state of Python in blockchain - 2023 report
An overview of Python programming language technologies in blockchain software development ecosystems in 2023.
ResearchGPT
An open-source LLM based research assistant that allows you to have a conversation with a research paper.
https://github.com/mukulpatnaik/researchgpt
An open-source LLM based research assistant that allows you to have a conversation with a research paper.
https://github.com/mukulpatnaik/researchgpt
GitHub
GitHub - mukulpatnaik/researchgpt: A LLM based research assistant that allows you to have a conversation with a research paper
A LLM based research assistant that allows you to have a conversation with a research paper - mukulpatnaik/researchgpt
The problem with float32: you only get 16 million values
Libraries like NumPy and Pandas let you switch data types, which allows you to reduce memory ...
https://pythonspeed.com/articles/float64-float32-precision/
Libraries like NumPy and Pandas let you switch data types, which allows you to reduce memory ...
https://pythonspeed.com/articles/float64-float32-precision/
Python⇒Speed
The problem with float32: you only get 16 million values
Switching from float64 (double-precision) to float32 (single-precision) can cut memory usage in half. But how do you deal with data that doesn’t fit?
How to Build a Dividend Investing Dashboard in Python and Streamlit
https://levelup.gitconnected.com/how-to-build-a-dividend-investing-dashboard-in-python-and-streamlit-a9ad2714c76b
https://levelup.gitconnected.com/how-to-build-a-dividend-investing-dashboard-in-python-and-streamlit-a9ad2714c76b
Medium
How to Build a Dividend Investing Dashboard in Python and Streamlit
Dividend investing is a relatively safe and, in my opinion, fun investing strategy that focuses on companies that have paid out dividends…
What is Async/Await in Python
You can use the async/await pattern in Python to implement asynchronous programming. In this ...
https://superfastpython.com/async-await-python/
You can use the async/await pattern in Python to implement asynchronous programming. In this ...
https://superfastpython.com/async-await-python/
Super Fast Python
What is Async/Await in Python - Super Fast Python
You can use the async/await pattern in Python to implement asynchronous programming. In this tutorial, you will discover async/await in Python and exactly what it means and when to use it. Let’s get started. What is Async/Await Async/await refers to a pattern…
ControlNet
ControlNet is a neural network structure to control diffusion models by adding extra conditions.
https://github.com/lllyasviel/ControlNet
ControlNet is a neural network structure to control diffusion models by adding extra conditions.
https://github.com/lllyasviel/ControlNet
GitHub
GitHub - lllyasviel/ControlNet: Let us control diffusion models!
Let us control diffusion models! Contribute to lllyasviel/ControlNet development by creating an account on GitHub.
milli-py
Python bindings for Milli, the embeddable Rust-based search engine powering Meilisearch.
https://github.com/AlexAltea/milli-py
Python bindings for Milli, the embeddable Rust-based search engine powering Meilisearch.
https://github.com/AlexAltea/milli-py
GitHub
GitHub - AlexAltea/milli-py: Python bindings for Milli, the embeddable Rust-based search engine powering Meilisearch
Python bindings for Milli, the embeddable Rust-based search engine powering Meilisearch - AlexAltea/milli-py
I've created a Senior Python Developer roadmap
https://www.reddit.com/r/learnpython/comments/1153nn0/ive_created_a_senior_python_developer_roadmap/
https://www.reddit.com/r/learnpython/comments/1153nn0/ive_created_a_senior_python_developer_roadmap/
Reddit
From the learnpython community on Reddit: I've created a Senior Python Developer roadmap
Explore this post and more from the learnpython community
GPT in 60 Lines of NumPy
In this post, we'll implement a GPT from scratch in just 60 lines of numpy. We'll then load the trained GPT-2 model weights released by OpenAI into our implementation and generate some text.
https://jaykmody.com/blog/gpt-from-scratch/
In this post, we'll implement a GPT from scratch in just 60 lines of numpy. We'll then load the trained GPT-2 model weights released by OpenAI into our implementation and generate some text.
https://jaykmody.com/blog/gpt-from-scratch/
Jay Mody
GPT in 60 Lines of NumPy | Jay Mody
Implementing a GPT model from scratch in NumPy.
ultrafunkamsterdam / undetected-chromedriver
Custom Selenium Chromedriver | Zero-Config | Passes ALL bot mitigation systems (like Distil / Imperva/ Datadadome / CloudFlare IUAM)
https://github.com/ultrafunkamsterdam/undetected-chromedriver
Custom Selenium Chromedriver | Zero-Config | Passes ALL bot mitigation systems (like Distil / Imperva/ Datadadome / CloudFlare IUAM)
https://github.com/ultrafunkamsterdam/undetected-chromedriver
GitHub
GitHub - ultrafunkamsterdam/undetected-chromedriver: Custom Selenium Chromedriver | Zero-Config | Passes ALL bot mitigation systems…
Custom Selenium Chromedriver | Zero-Config | Passes ALL bot mitigation systems (like Distil / Imperva/ Datadadome / CloudFlare IUAM) - ultrafunkamsterdam/undetected-chromedriver
Python’s multiprocessing performance problem
While multiprocessing allows Python to scale to multiple CPUs, it has some performance overhead compared to threading.
https://pythonspeed.com/articles/faster-multiprocessing-pickle/
While multiprocessing allows Python to scale to multiple CPUs, it has some performance overhead compared to threading.
https://pythonspeed.com/articles/faster-multiprocessing-pickle/
Python⇒Speed
Python’s multiprocessing performance problem
While multiprocessing allows Python to scale to multiple CPUs, it has some performance overhead compared to threading.