pythonhub | Technologies

Telegram-канал pythonhub - PythonHub

1140

News & links about Python programming. https://pythonhub.dev/ Administrator: @rukeba

Subscribe to a channel

PythonHub

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/

Читать полностью…

PythonHub

joaomdmoura / crewAI-examples

https://github.com/joaomdmoura/crewAI-examples

Читать полностью…

PythonHub

facebookresearch / audio2photoreal

Code and dataset for photorealistic Codec Avatars driven from audio

https://github.com/facebookresearch/audio2photoreal

Читать полностью…

PythonHub

FastCRUD

FastCRUD is a Python package for FastAPI, offering robust async CRUD operations and flexible endpoint creation utilities.

https://github.com/igorbenav/fastcrud

Читать полностью…

PythonHub

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/

Читать полностью…

PythonHub

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/

Читать полностью…

PythonHub

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

Читать полностью…

PythonHub

StreamRAG

Video Search and Streaming Agent.

https://github.com/video-db/StreamRAG

Читать полностью…

PythonHub

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/

Читать полностью…

PythonHub

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

Читать полностью…

PythonHub

Python-based pinball software framework

https://missionpinball.org/

Читать полностью…

PythonHub

Profiling your Numba code

Learn how to use the Profila profiler to find performance bottlenecks in your Numba code.

https://pythonspeed.com/articles/numba-profiling/

Читать полностью…

PythonHub

Getting Started With CUDA for Python Programmers

In this tutorial, Jeremy Howard demystifies CUDA programming for NVIDIA GPUs, particularly focusing on its accessibility when combined with PyTorch. The hands-on tutorial, conducted in a Colab notebook, guides viewers through practical examples, starting with simple tasks like converting an RGB image to grayscale, and progressing to more advanced topics like matrix multiplication. The em...

https://www.youtube.com/watch?v=nOxKexn3iBo

Читать полностью…

PythonHub

Real Case usage of Python Metaclasses

Three examples applying Python Metaclasses

https://dev.to/anbagu/real-case-of-python-metaclass-application-2pj8

Читать полностью…

PythonHub

Codemodder – A new codemod library for Java and Python

https://codemodder.io/

Читать полностью…

PythonHub

arcee-ai / mergekit

Tools for merging pretrained large language models.

https://github.com/arcee-ai/mergekit

Читать полностью…

PythonHub

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

Читать полностью…

PythonHub

fabric

fabric is an open-source framework for augmenting humans using AI.

https://github.com/danielmiessler/fabric

Читать полностью…

PythonHub

InstaPython – Instant custom Python scripts on-demand

https://instapython.com

Читать полностью…

PythonHub

EasyGmail

A lightweight, minimalistic, and synchronous Python package for quickly sending emails via Gmail.

https://github.com/ayushgun/easygmail

Читать полностью…

PythonHub

MarkFzp / act-plus-plus

Imitation learning algorithms with Co-training for Mobile ALOHA: ACT, Diffusion Policy, VINN

https://github.com/MarkFzp/act-plus-plus

Читать полностью…

PythonHub

llm-app-stack

Emerging Architectures for LLM Applications.

https://github.com/a16z-infra/llm-app-stack

Читать полностью…

PythonHub

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/

Читать полностью…

PythonHub

bclavie / RAGatouille

https://github.com/bclavie/RAGatouille

Читать полностью…

PythonHub

Running Open Source LLMs In Python - A Practical Guide

Unleashing AI Power on Your Laptop.

https://christophergs.com/blog/running-open-source-llms-in-python

Читать полностью…

PythonHub

Mix Python and Rust for Production CLIs

The video outlines an effective workflow for combining Python and Rust - use PyO3 to call Python from Rust CLIs, leverage Rust's safety and Python's libraries, add testing to validate logic, automate processes, and deliver binaries to users.

https://www.youtube.com/watch?v=GBZoWervz3s

Читать полностью…

PythonHub

Python HTTP library 'urllib3' now works in the browser

https://github.com/urllib3/urllib3/releases/tag/2.2.0

Читать полностью…

PythonHub

Python Hub Weekly Digest for 2024-02-04

https://pythonhub.dev/digest/2024-02-04/

Читать полностью…

PythonHub

Python packaging must be getting better - a datapoint

I “pip install”ed my app on Windows and everything just worked. Something is going right.

https://lukeplant.me.uk/blog/posts/python-packaging-must-be-getting-better-a-datapoint/

Читать полностью…

PythonHub

finagg

A Python package for aggregating historical data from popular and free financial APIs, and for transforming that data into features for AI/ML.

https://github.com/theOGognf/finagg

Читать полностью…
Subscribe to a channel