Deep Dive Into the Repository Design Pattern in Python
A closer look at the repository design pattern in Python. This is a very useful pattern that allows you to keep your data storage separate from your data operations.
https://www.youtube.com/watch?v=9ymRLDfnDKg
A closer look at the repository design pattern in Python. This is a very useful pattern that allows you to keep your data storage separate from your data operations.
https://www.youtube.com/watch?v=9ymRLDfnDKg
YouTube
Deep Dive Into the Repository Design Pattern in Python
💡 Learn how to design great software in 7 steps: https://arjan.codes/designguide.
In this video, I’ll take a closer look at the repository design pattern in Python. This is a very useful pattern that allows you to keep your data storage separate from your…
In this video, I’ll take a closer look at the repository design pattern in Python. This is a very useful pattern that allows you to keep your data storage separate from your…
TIL: `yield` inside a `try` followed by `finally` has some interesting behaviour.
https://www.reddit.com/r/Python/comments/1ai5okp/til_yield_inside_a_try_followed_by_finally_has/
https://www.reddit.com/r/Python/comments/1ai5okp/til_yield_inside_a_try_followed_by_finally_has/
Reddit
From the Python community on Reddit
Explore this post and more from the Python community
Exploring the GPT-4 with Vision API using Images and Videos
All you need to know to understand the GPT-4 with Vision API with examples for processing Images and Videos.
https://jstoppa.com/posts/exploring_the_gpt_with_vision_api_image_and_video/post/
All you need to know to understand the GPT-4 with Vision API with examples for processing Images and Videos.
https://jstoppa.com/posts/exploring_the_gpt_with_vision_api_image_and_video/post/
Juan Stoppa
Exploring the GPT-4 with Vision API using Images and Videos
All you need to know to understand the GPT-4 with Vision API with examples for processing Images and Videos
llm-app-stack
Emerging Architectures for LLM Applications.
https://github.com/a16z-infra/llm-app-stack
Emerging Architectures for LLM Applications.
https://github.com/a16z-infra/llm-app-stack
GitHub
GitHub - a16z-infra/llm-app-stack
Contribute to a16z-infra/llm-app-stack development by creating an account on GitHub.
A bird's eye view of Polars
Read how Polars executes your query from planning, optimizing to execution.
https://pola.rs/posts/polars_birds_eye_view
Read how Polars executes your query from planning, optimizing to execution.
https://pola.rs/posts/polars_birds_eye_view
pola.rs
A bird's eye view of Polars
DataFrames for the new era
MarkFzp / act-plus-plus
Imitation learning algorithms with Co-training for Mobile ALOHA: ACT, Diffusion Policy, VINN
https://github.com/MarkFzp/act-plus-plus
Imitation learning algorithms with Co-training for Mobile ALOHA: ACT, Diffusion Policy, VINN
https://github.com/MarkFzp/act-plus-plus
GitHub
GitHub - MarkFzp/act-plus-plus: Imitation learning algorithms with Co-training for Mobile ALOHA: ACT, Diffusion Policy, VINN
Imitation learning algorithms with Co-training for Mobile ALOHA: ACT, Diffusion Policy, VINN - MarkFzp/act-plus-plus
Ten Python datetime pitfalls, and what libraries are (not) doing about it
The article explores various challenges and inconsistencies in the Python datetime library, as well as how different third-party libraries address these issues.
https://dev.arie.bovenberg.net/blog/python-datetime-pitfalls/
The article explores various challenges and inconsistencies in the Python datetime library, as well as how different third-party libraries address these issues.
https://dev.arie.bovenberg.net/blog/python-datetime-pitfalls/
Arie Bovenberg
Ten Python datetime pitfalls, and what libraries are (not) doing about it
It’s no secret that the Python datetime library has its quirks. Not only are there probably more than you think; third-party libraries don’t address most of them! I created a new library to explore what a better datetime library could look like.
EasyGmail
A lightweight, minimalistic, and synchronous Python package for quickly sending emails via Gmail.
https://github.com/ayushgun/easygmail
A lightweight, minimalistic, and synchronous Python package for quickly sending emails via Gmail.
https://github.com/ayushgun/easygmail
GitHub
GitHub - ayushgun/easygmail: A lightweight, minimalistic, and synchronous Python package for quickly sending emails via Gmail.
A lightweight, minimalistic, and synchronous Python package for quickly sending emails via Gmail. - ayushgun/easygmail
Patching pydantic settings in pytest
The post discusses a Python tutorial on patching Pydantic settings in Pytest. It covers techniques for modifying Pydantic settings during testing scenarios in a Pytest environment, providing practical insights for effective testing and development workflows.
https://rednafi.com/python/patch_pydantic_settings_in_pytest/
The post discusses a Python tutorial on patching Pydantic settings in Pytest. It covers techniques for modifying Pydantic settings during testing scenarios in a Pytest environment, providing practical insights for effective testing and development workflows.
https://rednafi.com/python/patch_pydantic_settings_in_pytest/
Redowan's Reflections
Patching pydantic settings in pytest
I’ve been a happy user of pydantic1 settings to manage all my app configurations since
the 1.0 era. When pydantic 2.0 was released, the settings portion became a separate package
called pydantic_settings2.
It does two things that I love: it automatically…
the 1.0 era. When pydantic 2.0 was released, the settings portion became a separate package
called pydantic_settings2.
It does two things that I love: it automatically…
FastCRUD
FastCRUD is a Python package for FastAPI, offering robust async CRUD operations and flexible endpoint creation utilities.
https://github.com/igorbenav/fastcrud
FastCRUD is a Python package for FastAPI, offering robust async CRUD operations and flexible endpoint creation utilities.
https://github.com/igorbenav/fastcrud
GitHub
GitHub - benavlabs/fastcrud: FastCRUD is a Python package for FastAPI, offering robust async CRUD operations and flexible endpoint…
FastCRUD is a Python package for FastAPI, offering robust async CRUD operations and flexible endpoint creation utilities. - benavlabs/fastcrud
fabric
fabric is an open-source framework for augmenting humans using AI.
https://github.com/danielmiessler/fabric
fabric is an open-source framework for augmenting humans using AI.
https://github.com/danielmiessler/fabric
GitHub
GitHub - danielmiessler/Fabric: Fabric is an open-source framework for augmenting humans using AI. It provides a modular system…
Fabric is an open-source framework for augmenting humans using AI. It provides a modular system for solving specific problems using a crowdsourced set of AI prompts that can be used anywhere. - dan...
👍1
facebookresearch / audio2photoreal
Code and dataset for photorealistic Codec Avatars driven from audio
https://github.com/facebookresearch/audio2photoreal
Code and dataset for photorealistic Codec Avatars driven from audio
https://github.com/facebookresearch/audio2photoreal
GitHub
GitHub - facebookresearch/audio2photoreal: Code and dataset for photorealistic Codec Avatars driven from audio
Code and dataset for photorealistic Codec Avatars driven from audio - facebookresearch/audio2photoreal
InternLM / InternLM-XComposer
InternLM-XComposer2 is a groundbreaking vision-language large model (VLLM) excelling in free-form text-image composition and comprehension.
https://github.com/InternLM/InternLM-XComposer
InternLM-XComposer2 is a groundbreaking vision-language large model (VLLM) excelling in free-form text-image composition and comprehension.
https://github.com/InternLM/InternLM-XComposer
GitHub
GitHub - InternLM/InternLM-XComposer: InternLM-XComposer2.5-OmniLive: A Comprehensive Multimodal System for Long-term Streaming…
InternLM-XComposer2.5-OmniLive: A Comprehensive Multimodal System for Long-term Streaming Video and Audio Interactions - InternLM/InternLM-XComposer
arcee-ai / mergekit
Tools for merging pretrained large language models.
https://github.com/arcee-ai/mergekit
Tools for merging pretrained large language models.
https://github.com/arcee-ai/mergekit
GitHub
GitHub - arcee-ai/mergekit: Tools for merging pretrained large language models.
Tools for merging pretrained large language models. - arcee-ai/mergekit
Implement Parsers with Pylasu
In this article, we will learn how to implement parsers in Python using Pylasu and ANTLR.
https://tomassetti.me/implement-parsers-with-pylasu/
In this article, we will learn how to implement parsers in Python using Pylasu and ANTLR.
https://tomassetti.me/implement-parsers-with-pylasu/
Strumenta
Implement Parsers with Pylasu - Strumenta
In this article, we will learn how to implement parsers in Python using Pylasu and ANTLR. Feel free to fork the project, play with it!
Build a Django AI colorization app
We'll build a simple Django app that uses AI to color black and white photos. I'll also guide you through the easiest method to use webhooks in Django. Webhooks are a neat way of external functions (e.g., AI functions) sending data to your server.
https://www.youtube.com/watch?v=-04pgby8tVE
We'll build a simple Django app that uses AI to color black and white photos. I'll also guide you through the easiest method to use webhooks in Django. Webhooks are a neat way of external functions (e.g., AI functions) sending data to your server.
https://www.youtube.com/watch?v=-04pgby8tVE
YouTube
Build a Django AI colorization app 🎨🦾
We'll build a simple Django app that uses AI to color black and white photos 🎨🦾
I'll also guide you through the easiest method to use webhooks in Django. Webhooks are a neat way of external functions (e.g., AI functions) sending data to your server 🪝
✍️…
I'll also guide you through the easiest method to use webhooks in Django. Webhooks are a neat way of external functions (e.g., AI functions) sending data to your server 🪝
✍️…