《Designing Data-Intensive Application》DDIA 第一版 / 第二版 中文翻译
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Updated
Aug 15, 2025 - Python
《Designing Data-Intensive Application》DDIA 第一版 / 第二版 中文翻译
🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading
Python Stream Processing
🪓 Run Background Tasks at Scale
FastStream is a powerful and easy-to-use Python framework for building asynchronous services interacting with event streams such as Apache Kafka, RabbitMQ, NATS and Redis.
High-Performance Symbolic Regression in Python and Julia
Problem statements on System Design and Software Architecture as part of Arpit's System Design Masterclass
Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.
A unified interface for distributed computing. Fugue executes SQL, Python, Pandas, and Polars code on Spark, Dask and Ray without any rewrites.
Python Stream Processing. A Faust fork
Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.
A library for event sourcing in Python.
GNES is Generic Neural Elastic Search, a cloud-native semantic search system based on deep neural network.
Scalable Python DS & ML, in an API compatible & lightning fast way.
Docker-based utility for testing network failures and partitions in distributed applications
Bagua Speeds up PyTorch
Kubernetes-native Deep Learning Framework
A library for replicating your python class between multiple servers, based on raft protocol
محتوى تقني متميز في مختلف مجالات هندسة البرمجيات عن طريق تبسيط المفاهيم البرمجية المعقدة بشكل سلس وباستخدام صور توضيحية مذهلة
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