Using the AWS Parameters and Secrets Lambda Extension with Python: A Practical Example
Using the AWS Parameters and Secrets Lambda Extension can speed up your Lambda code and save you money. In this practical example we will go through a full example, complete with a couple of gotchas I found that could catch you out.
https://community.aws/posts/parameters-and-secrets-lambda-extension-with-python
Using the AWS Parameters and Secrets Lambda Extension can speed up your Lambda code and save you money. In this practical example we will go through a full example, complete with a couple of gotchas I found that could catch you out.
https://community.aws/posts/parameters-and-secrets-lambda-extension-with-python
Community.aws
Using the AWS Parameters and Secrets Lambda Extension with Python: A Practical Example
Using the AWS Parameters and Secrets Lambda Extension can speed up your Lambda code and save you money. In this practical example we will go through a full example, complete with a couple of gotchas I found that could catch you out
GPT Engineer: Things Are Starting to Get Weird
GPT Engineer is another nail in the coffin of software developers. In this video, I'll show you how it works. The tool is crazy powerful. Just specify what you want it to build, and then, well, it just builds it. I’ll show you how it works in today's video and share my thoughts on where this technology might lead us.
https://www.youtube.com/watch?v=FPZONhA0C60
GPT Engineer is another nail in the coffin of software developers. In this video, I'll show you how it works. The tool is crazy powerful. Just specify what you want it to build, and then, well, it just builds it. I’ll show you how it works in today's video and share my thoughts on where this technology might lead us.
https://www.youtube.com/watch?v=FPZONhA0C60
YouTube
GPT Engineer: Things Are Starting to Get Weird
👷 Review code faster and better with my 3-Factor Framework: https://arjan.codes/diagnosis.
GPT Engineer is another nail in the coffin of software developers. In this video, I'll show you how it works. The tool is crazy powerful. Just specify what you want…
GPT Engineer is another nail in the coffin of software developers. In this video, I'll show you how it works. The tool is crazy powerful. Just specify what you want…
If PEP 703 is accepted, Meta can commit three engineer-years to nogil CPython
https://discuss.python.org/t/a-fast-free-threading-python/27903/99
https://discuss.python.org/t/a-fast-free-threading-python/27903/99
Discussions on Python.org
A fast, free threading Python
I don’t think that is true. If free threading is possible, the cat will be out of the bag, even developers that only cares about single threaded work will still be affected by threading issues. If a library starts a thread in the background for whatever reason…
Generating Code without Generating Technical Debt?
The article also provides some tips on how to make the code generated by ChatGPT more maintainable, such as using short functions, splitting the code into smaller files, and using comments to explain the code.
https://sourcery.ai/blog/chatgpt-maintainable-code/
The article also provides some tips on how to make the code generated by ChatGPT more maintainable, such as using short functions, splitting the code into smaller files, and using comments to explain the code.
https://sourcery.ai/blog/chatgpt-maintainable-code/
sourcery.ai
Generating Code without Generating Technical Debt?
Delivering and maintaining AI-generated code.
UltraChat
Large-scale, Informative, and Diverse Multi-round Dialogue Data, and Models.
https://github.com/thunlp/UltraChat
Large-scale, Informative, and Diverse Multi-round Dialogue Data, and Models.
https://github.com/thunlp/UltraChat
GitHub
GitHub - thunlp/UltraChat: Large-scale, Informative, and Diverse Multi-round Chat Data (and Models)
Large-scale, Informative, and Diverse Multi-round Chat Data (and Models) - thunlp/UltraChat
Back end of Meta Threads is built with Python 3.10 with some interesting tweaks
https://twitter.com/llanga/status/1676846870520291329
https://twitter.com/llanga/status/1676846870520291329
X (formerly Twitter)
Łukasz Langa (@llanga) on X
Did you know that the backend of #MetaThreads is built with #Python 3.10?
It's running on Instagram's #Cinder fork that includes a JIT, lazy-loaded modules, pre-compiled static modules, and a bunch of other interesting tweaks against vanilla Python 3.10.…
It's running on Instagram's #Cinder fork that includes a JIT, lazy-loaded modules, pre-compiled static modules, and a bunch of other interesting tweaks against vanilla Python 3.10.…
You Don’t Need __all__
Every now and then, I get a PR from a well-meaning contributor trying to add all to a Python module for whatever reason. I always decline these, they are unnecessary (at least for the way I structure my code) and I thought I’d write a short post explaining why.
https://jamesturk.net/posts/you-dont-need-all/
Every now and then, I get a PR from a well-meaning contributor trying to add all to a Python module for whatever reason. I always decline these, they are unnecessary (at least for the way I structure my code) and I thought I’d write a short post explaining why.
https://jamesturk.net/posts/you-dont-need-all/
Demystifying Text Data with the Unstructured Python Library
https://saeedesmaili.com/demystifying-text-data-with-the-unstructured-python-library/
https://saeedesmaili.com/demystifying-text-data-with-the-unstructured-python-library/
Saeed Esmaili
Demystifying Text Data with the unstructured Python Library (+alternatives)
In the world of data, textual data stands out as being particularly complex. It doesn’t fall into neat rows and columns like numerical data does. As a side project, I’m in the process of developing my own personal AI assistant. The objective is to use the…
Python can make 3M+ WebSocket keys per second
This article is about optimizing a tiny bit of Python code by replacing it with its C++ counterpart.
https://github.com/szabolcsdombi/optimization-demo
This article is about optimizing a tiny bit of Python code by replacing it with its C++ counterpart.
https://github.com/szabolcsdombi/optimization-demo
GitHub
GitHub - szabolcsdombi/optimization-demo: :zap: Optimizing Python code by implementing a C++ extension
:zap: Optimizing Python code by implementing a C++ extension - szabolcsdombi/optimization-demo
threads-net
Unofficial and reverse-engineered Threads (threads.net) Python API wrapper. Supports read and write capabilities.
https://github.com/dmytrostriletskyi/threads-net
Unofficial and reverse-engineered Threads (threads.net) Python API wrapper. Supports read and write capabilities.
https://github.com/dmytrostriletskyi/threads-net
GitHub
GitHub - dmytrostriletskyi/threads-net: Unofficial and reverse-engineered Threads (threads.net) Python API wrapper. Created for…
Unofficial and reverse-engineered Threads (threads.net) Python API wrapper. Created for academic purposes and is not intended to be used in real software. - dmytrostriletskyi/threads-net
Sweep
Sweep is an AI junior dev that transforms bug reports & feature requests into code changes. Simply describe any issue and Sweep will do the rest. It will plan out what needs to be done, what changes to make, and write the changes to a PR.
https://github.com/sweepai/sweep
Sweep is an AI junior dev that transforms bug reports & feature requests into code changes. Simply describe any issue and Sweep will do the rest. It will plan out what needs to be done, what changes to make, and write the changes to a PR.
https://github.com/sweepai/sweep
GitHub
GitHub - sweepai/sweep: Sweep: AI coding assistant for JetBrains
Sweep: AI coding assistant for JetBrains. Contribute to sweepai/sweep development by creating an account on GitHub.
Django: Clean up unused code with Vulture
The article provides a brief overview of how to use Vulture to clean up unused code in Django projects. It also discusses some of the limitations of Vulture and how to work around them.
https://adamj.eu/tech/2023/07/12/django-clean-up-unused-code-vulture/
The article provides a brief overview of how to use Vulture to clean up unused code in Django projects. It also discusses some of the limitations of Vulture and how to work around them.
https://adamj.eu/tech/2023/07/12/django-clean-up-unused-code-vulture/
adamj.eu
Django: Clean up unused code with Vulture - Adam Johnson
As projects evolve, old functionality gets removed. Often such deletions are incomplete, leaving in their wake unused functions, classes, and other code objects. Unused code is clutter that brings no joy: it hinders comprehension, taxes codebase-wide quality…
Text Chunking and Headings Grouping: A Guide to Parsing Documents with Pandoc and Python
In my previous blog post I explored using the unstructured python library for loading and parsing ...
https://saeedesmaili.com/text-chunking-headings-grouping-parsing-documents-with-pandoc/
In my previous blog post I explored using the unstructured python library for loading and parsing ...
https://saeedesmaili.com/text-chunking-headings-grouping-parsing-documents-with-pandoc/
Saeed Esmaili
Text Chunking and Headings Grouping: A Guide to Parsing Documents with Pandoc and Python
In my previous blog post
I explored using the unstructured python library for loading and parsing documents. As I mentioned in the post, although unstructured seems a very useful library, it has a few issues. Since I’m planning to do a semantic search on…
I explored using the unstructured python library for loading and parsing documents. As I mentioned in the post, although unstructured seems a very useful library, it has a few issues. Since I’m planning to do a semantic search on…
gpt-researcher
GPT based autonomous agent that does online comprehensive research on any given topic.
https://github.com/assafelovic/gpt-researcher
GPT based autonomous agent that does online comprehensive research on any given topic.
https://github.com/assafelovic/gpt-researcher
GitHub
GitHub - assafelovic/gpt-researcher: LLM based autonomous agent that conducts deep local and web research on any topic and generates…
LLM based autonomous agent that conducts deep local and web research on any topic and generates a long report with citations. - assafelovic/gpt-researcher
What AI can do with a toolbox... Getting started with Code Interpreter
Democratizing data analysis with AI.
https://www.oneusefulthing.org/p/what-ai-can-do-with-a-toolbox-getting
Democratizing data analysis with AI.
https://www.oneusefulthing.org/p/what-ai-can-do-with-a-toolbox-getting
www.oneusefulthing.org
What AI can do with a toolbox... Getting started with Code Interpreter [Now called Advanced Data Analytics]
Democratizing data analysis with AI
Kraken Technologies: How we organise our large Python monolith
https://blog.europython.eu/kraken-technologies-how-we-organize-our-very-large-pythonmonolith/
https://blog.europython.eu/kraken-technologies-how-we-organize-our-very-large-pythonmonolith/
EuroPython Blog
Kraken Technologies: How we organise our very large Python
monolith
monolith
By David Seddon from Kraken Technologies.
Hi, I’m David, a Python developer at Kraken Technologies. I work on Kraken: a
Python application which has, at last count, 27,637 modules. Yes, you read that
right: nearly 28k separate Python files - not including…
Hi, I’m David, a Python developer at Kraken Technologies. I work on Kraken: a
Python application which has, at last count, 27,637 modules. Yes, you read that
right: nearly 28k separate Python files - not including…
MetisFL
The blazing-fast and developer-friendly federated learning framework.
https://github.com/NevronAI/metisfl
The blazing-fast and developer-friendly federated learning framework.
https://github.com/NevronAI/metisfl
GitHub
GitHub - NevronAI/MetisFL: MetisFL is a federated learning framework that allows developers to easily federate their machine learning…
MetisFL is a federated learning framework that allows developers to easily federate their machine learning workflows and train their models across distributed data without ever collecting the data ...