๐ฅ Trending Repository: claude-code-best-practice
๐ Description: practice made claude perfect
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==================================
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๐ Description: practice made claude perfect
๐ Repository URL: https://github.com/shanraisshan/claude-code-best-practice
๐ Readme: https://github.com/shanraisshan/claude-code-best-practice#readme
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==================================
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๐ฅ Trending Repository: vite-plus
๐ Description: Vite+ is the unified toolchain and entry point for web development. It manages your runtime, package manager, and frontend toolchain in one place.
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==================================
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๐ Description: Vite+ is the unified toolchain and entry point for web development. It manages your runtime, package manager, and frontend toolchain in one place.
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==================================
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Data Science Jupyter Notebooks
Photo
Top 10 Database Scaling Techniques You Should Know:
1. ๐๐ง๐๐๐ฑ๐ข๐ง๐ : Create indexes on frequently queried columns to speed up data retrieval.
2. ๐๐๐ซ๐ญ๐ข๐๐๐ฅ ๐๐๐๐ฅ๐ข๐ง๐ : Upgrade your database server by adding more CPU, RAM, or storage to handle increased load.
3. ๐๐๐๐ก๐ข๐ง๐ : Store frequently accessed data in-memory (e.g., Redis, Memcached) to reduce database load and improve response time.
4. ๐๐ก๐๐ซ๐๐ข๐ง๐ : Distribute data across multiple servers by splitting the database into smaller, independent shards, allowing for horizontal scaling and improved performance.
5. ๐๐๐ฉ๐ฅ๐ข๐๐๐ญ๐ข๐จ๐ง: Create multiple copies (replicas) of the database across different servers, enabling read queries to be distributed across replicas and improving availability.
6. ๐๐ฎ๐๐ซ๐ฒ ๐๐ฉ๐ญ๐ข๐ฆ๐ข๐ณ๐๐ญ๐ข๐จ๐ง: Fine-tune SQL queries, eliminate expensive operations, and leverage indexes effectively to improve execution speed and reduce database load.
7. ๐๐จ๐ง๐ง๐๐๐ญ๐ข๐จ๐ง ๐๐จ๐จ๐ฅ๐ข๐ง๐ : Reduce the overhead of opening/closing database connections by reusing existing ones, improving performance under heavy traffic.
8. ๐๐๐ซ๐ญ๐ข๐๐๐ฅ ๐๐๐ซ๐ญ๐ข๐ญ๐ข๐จ๐ง๐ข๐ง๐ : Split large tables into smaller, more manageable parts (partitions), each containing a subset of the columns/features from the original table.
9. ๐๐๐ง๐จ๐ซ๐ฆ๐๐ฅ๐ข๐ณ๐๐ญ๐ข๐จ๐ง: Store data in a redundant but structured format to minimize complex joins and speed up read-heavy workloads.
10. ๐๐๐ญ๐๐ซ๐ข๐๐ฅ๐ข๐ณ๐๐ ๐๐ข๐๐ฐ๐ฌ: Pre-compute and store results of complex queries as separate tables to avoid expensive recalculation, reducing database load and improving response times.
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1. ๐๐ง๐๐๐ฑ๐ข๐ง๐ : Create indexes on frequently queried columns to speed up data retrieval.
2. ๐๐๐ซ๐ญ๐ข๐๐๐ฅ ๐๐๐๐ฅ๐ข๐ง๐ : Upgrade your database server by adding more CPU, RAM, or storage to handle increased load.
3. ๐๐๐๐ก๐ข๐ง๐ : Store frequently accessed data in-memory (e.g., Redis, Memcached) to reduce database load and improve response time.
4. ๐๐ก๐๐ซ๐๐ข๐ง๐ : Distribute data across multiple servers by splitting the database into smaller, independent shards, allowing for horizontal scaling and improved performance.
5. ๐๐๐ฉ๐ฅ๐ข๐๐๐ญ๐ข๐จ๐ง: Create multiple copies (replicas) of the database across different servers, enabling read queries to be distributed across replicas and improving availability.
6. ๐๐ฎ๐๐ซ๐ฒ ๐๐ฉ๐ญ๐ข๐ฆ๐ข๐ณ๐๐ญ๐ข๐จ๐ง: Fine-tune SQL queries, eliminate expensive operations, and leverage indexes effectively to improve execution speed and reduce database load.
7. ๐๐จ๐ง๐ง๐๐๐ญ๐ข๐จ๐ง ๐๐จ๐จ๐ฅ๐ข๐ง๐ : Reduce the overhead of opening/closing database connections by reusing existing ones, improving performance under heavy traffic.
8. ๐๐๐ซ๐ญ๐ข๐๐๐ฅ ๐๐๐ซ๐ญ๐ข๐ญ๐ข๐จ๐ง๐ข๐ง๐ : Split large tables into smaller, more manageable parts (partitions), each containing a subset of the columns/features from the original table.
9. ๐๐๐ง๐จ๐ซ๐ฆ๐๐ฅ๐ข๐ณ๐๐ญ๐ข๐จ๐ง: Store data in a redundant but structured format to minimize complex joins and speed up read-heavy workloads.
10. ๐๐๐ญ๐๐ซ๐ข๐๐ฅ๐ข๐ณ๐๐ ๐๐ข๐๐ฐ๐ฌ: Pre-compute and store results of complex queries as separate tables to avoid expensive recalculation, reducing database load and improving response times.
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๐ฅ Trending Repository: deepagents
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๐ Description: Agent harness built with LangChain and LangGraph. Equipped with a planning tool, a filesystem backend, and the ability to spawn subagents - well-equipped to handle complex agentic tasks.
๐ Repository URL: https://github.com/langchain-ai/deepagents
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๐ฅ Trending Repository: claudian
๐ Description: An Obsidian plugin that embeds Claude Code as an AI collaborator in your vault
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==================================
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๐ Description: An Obsidian plugin that embeds Claude Code as an AI collaborator in your vault
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==================================
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๐ฅ Trending Repository: claude-hud
๐ Description: A Claude Code plugin that shows what's happening - context usage, active tools, running agents, and todo progress
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๐ Description: A Claude Code plugin that shows what's happening - context usage, active tools, running agents, and todo progress
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๐ Description: The JavaScript / Wasm runtime that powers Cloudflare Workers
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๐ Description: An open-source, GPU-accelerated physics simulation engine built upon NVIDIA Warp, specifically targeting roboticists and simulation researchers.
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๐ฅ Trending Repository: shadPS4
๐ Description: PlayStation 4 emulator for Windows, Linux and macOS written in C++
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๐ Description: PlayStation 4 emulator for Windows, Linux and macOS written in C++
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๐ Description: An Open-Source Asynchronous Coding Agent
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๐ Description: PDF Parser for AI-ready data. Automate PDF accessibility. Open-source.
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๐ง By: https://t.iss.one/DataScienceM
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๐ An autonomous assistant for job applications
ApplyPilot - is a powerful tool for automating the job application process. It searches for vacancies on several platforms, evaluates them using AI, adapts your resume, and sends applications without your involvement. Just set it up once and let the system work for you.
๐ Key features:
- Full automation of job applications
- Evaluation of vacancies based on their suitability to your resume
- Generation of adapted resumes and cover letters
- Support for multiple platforms for job searches
- Open source code and free access to the API
๐ GitHub: https://github.com/Pickle-Pixel/ApplyPilot
๐ https://t.iss.one/DataScienceN
ApplyPilot - is a powerful tool for automating the job application process. It searches for vacancies on several platforms, evaluates them using AI, adapts your resume, and sends applications without your involvement. Just set it up once and let the system work for you.
๐ Key features:
- Full automation of job applications
- Evaluation of vacancies based on their suitability to your resume
- Generation of adapted resumes and cover letters
- Support for multiple platforms for job searches
- Open source code and free access to the API
๐ GitHub: https://github.com/Pickle-Pixel/ApplyPilot
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