Practical Business Jinja
A talk covering how to automate document creation using Python-docx and Jinja.
https://www.youtube.com/watch?v=nFymBFcGqYk
A talk covering how to automate document creation using Python-docx and Jinja.
https://www.youtube.com/watch?v=nFymBFcGqYk
YouTube
Practical Business Jinja
Inspired by the Practical Business Python blog this Python Frederick meetup will cover how to automate document creation using Python-docx and Jinja.
Presenter: Collins Conover
Collins Conover is a Systems Development Engineer at AWS and previously worked…
Presenter: Collins Conover
Collins Conover is a Systems Development Engineer at AWS and previously worked…
Prism
Prism is the easiest way to develop, orchestrate, and execute data pipelines in Python.
https://github.com/runprism/prism
Prism is the easiest way to develop, orchestrate, and execute data pipelines in Python.
https://github.com/runprism/prism
GitHub
GitHub - runprism/prism: Prism is the easiest way to develop, orchestrate, and execute data pipelines in Python.
Prism is the easiest way to develop, orchestrate, and execute data pipelines in Python. - runprism/prism
viberary
Viberary is a search engine that recommends books based not on genre or title, but vibe by performing semantic search across a set of learned embeddings on a dataset of books from Goodreads and their metadata.
https://github.com/veekaybee/viberary
Viberary is a search engine that recommends books based not on genre or title, but vibe by performing semantic search across a set of learned embeddings on a dataset of books from Goodreads and their metadata.
https://github.com/veekaybee/viberary
GitHub
GitHub - veekaybee/viberary: Good books, good vibes
Good books, good vibes. Contribute to veekaybee/viberary development by creating an account on GitHub.
Weird Python "Features" That Might Catch You By Surprise
From time to time, when coding, we all run into weird behaviours of the programming language. Sometimes it's a "feature" we weren't aware of, sometimes it's just quirky behaviour of the language, and sometimes it's borderline bug. Python - as any other programming language - has these eyebrows-raising quirks, so here's a list of weird Python "features" that might catch you off-guard.
https://martinheinz.dev/blog/103
From time to time, when coding, we all run into weird behaviours of the programming language. Sometimes it's a "feature" we weren't aware of, sometimes it's just quirky behaviour of the language, and sometimes it's borderline bug. Python - as any other programming language - has these eyebrows-raising quirks, so here's a list of weird Python "features" that might catch you off-guard.
https://martinheinz.dev/blog/103
martinheinz.dev
Weird Python "Features" That Might Catch You By Surprise
<p>
From time to time, when coding, we all run into weird behaviours of the programming language. Sometimes it's a <i>"feature"</i> we weren't aware of, so...
From time to time, when coding, we all run into weird behaviours of the programming language. Sometimes it's a <i>"feature"</i> we weren't aware of, so...
How not to sort in Python
SummarySometimes you want to sort, and sometimes you just want things to stay sorted. For the ...
https://www.bitecode.dev/p/how-not-to-sort-in-python
SummarySometimes you want to sort, and sometimes you just want things to stay sorted. For the ...
https://www.bitecode.dev/p/how-not-to-sort-in-python
www.bitecode.dev
How not to sort in Python
You can't make me
The 2,500 year old history of why Python’s all([]) returns True
https://blog.carlmjohnson.net/post/2020/python-square-of-opposition/
https://blog.carlmjohnson.net/post/2020/python-square-of-opposition/
blog.carlmjohnson.net
Why does all() return True if the iterable is empty?
How a Python function relates to a two thousand year old debate in philosophy
Pipeless
An open source multimedia framework to build and deploy computer perception apps in minutes without worrying about multimedia pipelines.
https://github.com/miguelaeh/pipeless
An open source multimedia framework to build and deploy computer perception apps in minutes without worrying about multimedia pipelines.
https://github.com/miguelaeh/pipeless
GitHub
GitHub - miguelaeh/pipeless: An open source multimedia framework to build and deploy computer vision apps in minutes without worrying…
An open source multimedia framework to build and deploy computer vision apps in minutes without worrying about multimedia pipelines - GitHub - miguelaeh/pipeless: An open source multimedia framewor...
Error Handling: From Charles Babbage to Python 3.11
This talk introduces the new error handling features of Python 3.11, while placing them within their historical perspective.
https://www.youtube.com/watch?v=rKBKHVvXuUI
This talk introduces the new error handling features of Python 3.11, while placing them within their historical perspective.
https://www.youtube.com/watch?v=rKBKHVvXuUI
YouTube
Irit Katriel- opening keynote: Error Handling: From Charles Babbage to Python 3.11
This talk introduces the new error handling features of Python 3.11, while placing them within their historical perspective.
How CPython Implements Reference Counting: Dissecting CPython Internals
https://codeconfessions.substack.com/p/cpython-reference-counting-internals
https://codeconfessions.substack.com/p/cpython-reference-counting-internals
Substack
How CPython Implements Reference Counting: Dissecting CPython Internals
An Extensive Walkthrough of Python’s Primary Memory Management Technique, Reference Counting
How to Use Symbolic Python to Solve and Simulate Dynamical Systems
https://neil-sawhney.com/articles/dynamics-simulations/
https://neil-sawhney.com/articles/dynamics-simulations/
OpenAgent
OpenAgent is a library of modular components and an orchestration framework. Inspired by a microservices approach, it gives developers all the components they need to build robust, stable & reliable AI applications and experimental autonomous agents.
https://github.com/dot-agent/openagent
OpenAgent is a library of modular components and an orchestration framework. Inspired by a microservices approach, it gives developers all the components they need to build robust, stable & reliable AI applications and experimental autonomous agents.
https://github.com/dot-agent/openagent
GitHub
GitHub - dot-agent/dotagent-WIP: Highly hackable components for AI apps or autonomous agents 🤖
Highly hackable components for AI apps or autonomous agents 🤖 - GitHub - dot-agent/dotagent-WIP: Highly hackable components for AI apps or autonomous agents 🤖
Containerized PDF Summarizer with FastAPI and Hamilton
A quick guide to building a PDF Summarizer (using OpenAI) with Hamilton, FastAPI and Streamlit.
https://blog.dagworks.io/p/containerized-pdf-summarizer-with
A quick guide to building a PDF Summarizer (using OpenAI) with Hamilton, FastAPI and Streamlit.
https://blog.dagworks.io/p/containerized-pdf-summarizer-with
blog.dagworks.io
Containerized PDF Summarizer with FastAPI and Hamilton
A quick guide to building a PDF Summarizer (using OpenAI) with Hamilton, FastAPI and Streamlit.
Shell-AI
Shell-AI (shai) is a CLI utility that brings the power of natural language understanding to your command line. Simply input what you want to do in natural language, and shai will suggest single-line commands that achieve your intent.
https://github.com/ricklamers/shell-ai
Shell-AI (shai) is a CLI utility that brings the power of natural language understanding to your command line. Simply input what you want to do in natural language, and shai will suggest single-line commands that achieve your intent.
https://github.com/ricklamers/shell-ai
GitHub
GitHub - ricklamers/shell-ai: LangChain powered shell command generator and runner CLI
LangChain powered shell command generator and runner CLI - ricklamers/shell-ai
Development with Large Language Models Tutorial – OpenAI, Langchain, Agents, Chroma
Throughout this course, you will complete hands-on projects will help you learn how to harness LLMs for your own projects. You will build projects with LLMs that will enable you to create dynamic interfaces, interact with vast amounts of text data, and even empower LLMs with the capability to browse the internet for research papers.
https://www.youtube.com/watch?v=xZDB1naRUlk
Throughout this course, you will complete hands-on projects will help you learn how to harness LLMs for your own projects. You will build projects with LLMs that will enable you to create dynamic interfaces, interact with vast amounts of text data, and even empower LLMs with the capability to browse the internet for research papers.
https://www.youtube.com/watch?v=xZDB1naRUlk
YouTube
Development with Large Language Models Tutorial – OpenAI, Langchain, Agents, Chroma
Welcome to this course about development with Large Language Models, or LLMs. Throughout this course, you will complete hands-on projects will help you learn how to harness LLMs for your own projects. You will build projects with LLMs that will enable you…