Data Science Jupyter Notebooks
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Explore the world of Data Science through Jupyter Notebooksโ€”insights, tutorials, and tools to boost your data journey. Code, analyze, and visualize smarter with every post.
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๐Ÿ”ฅ Trending Repository: IPED

๐Ÿ“ Description: IPED Digital Forensic Tool. It is an open source software that can be used to process and analyze digital evidence, often seized at crime scenes by law enforcement or in a corporate investigation by private examiners.

๐Ÿ”— Repository URL: https://github.com/sepinf-inc/IPED

๐Ÿ“– Readme: https://github.com/sepinf-inc/IPED#readme

๐Ÿ“Š Statistics:
๐ŸŒŸ Stars: 2k
๐Ÿ‘€ Watchers: 77
๐Ÿด Forks: 376

๐Ÿ’ป Programming Languages: Java - JavaScript - HTML - Python - CSS - Cypher

๐Ÿท๏ธ Related Topics:
#recovery #digital_forensics #forensic


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๐Ÿง  By: https://t.iss.one/DataScienceM
โค1
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๐Ÿ”ฅ Trending Repository: AstrBot

๐Ÿ“ Description: Agentic IM Chatbot infrastructure that integrates lots of IM platforms, LLMs, plugins and AI feature, and can be your openclaw alternative. โœจ

๐Ÿ”— Repository URL: https://github.com/AstrBotDevs/AstrBot

๐ŸŒ Website: https://astrbot.app

๐Ÿ“– Readme: https://github.com/AstrBotDevs/AstrBot#readme

๐Ÿ“Š Statistics:
๐ŸŒŸ Stars: 20.7k
๐Ÿ‘€ Watchers: 64
๐Ÿด Forks: 1.5k

๐Ÿ’ป Programming Languages: Python - Vue - TypeScript - JavaScript - Shell - SCSS

๐Ÿท๏ธ Related Topics:
#python #agent #docker #ai #telegram #discord #mcp #chatbot #gemini #openai #llama #qq #gpt #qqbot #llm #chatgpt


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๐Ÿง  By: https://t.iss.one/DataScienceM
โค2
๐Ÿ”ฅ Trending Repository: openrag

๐Ÿ“ Description: OpenRAG is a comprehensive, single package Retrieval-Augmented Generation platform built on Langflow, Docling, and Opensearch.

๐Ÿ”— Repository URL: https://github.com/langflow-ai/openrag

๐ŸŒ Website: https://www.openr.ag

๐Ÿ“– Readme: https://github.com/langflow-ai/openrag#readme

๐Ÿ“Š Statistics:
๐ŸŒŸ Stars:
๐Ÿ‘€ Watchers: 10
๐Ÿด Forks:

๐Ÿ’ป Programming Languages: Python - TypeScript - Makefile - Shell - CSS - Dockerfile

๐Ÿท๏ธ Related Topics: Not available

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๐Ÿง  By: https://t.iss.one/DataScienceM
๐Ÿ”ฅ Trending Repository: InsForge

๐Ÿ“ Description: Give agents everything they need to ship fullstack apps. The backend built for agentic development.

๐Ÿ”— Repository URL: https://github.com/InsForge/InsForge

๐ŸŒ Website: https://insforge.dev

๐Ÿ“– Readme: https://github.com/InsForge/InsForge#readme

๐Ÿ“Š Statistics:
๐ŸŒŸ Stars: 2.6k
๐Ÿ‘€ Watchers: 30
๐Ÿด Forks: 299

๐Ÿ’ป Programming Languages: TypeScript - Shell - PLpgSQL - JavaScript - CSS - Dockerfile - HTML

๐Ÿท๏ธ Related Topics:
#oauth2 #ai #nextjs #websockets #realtime #postgresql #embeddings #coding #vectors #ai_agents #deno #pgvector #insforge


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๐Ÿง  By: https://t.iss.one/DataScienceM
๐Ÿ”ฅ Trending Repository: hindsight

๐Ÿ“ Description: Hindsight: Agent Memory That Learns

๐Ÿ”— Repository URL: https://github.com/vectorize-io/hindsight

๐ŸŒ Website: https://hindsight.vectorize.io/

๐Ÿ“– Readme: https://github.com/vectorize-io/hindsight#readme

๐Ÿ“Š Statistics:
๐ŸŒŸ Stars: 2.8k
๐Ÿ‘€ Watchers: 23
๐Ÿด Forks: 213

๐Ÿ’ป Programming Languages: Python - TypeScript - Rust - MDX - Shell - CSS

๐Ÿท๏ธ Related Topics:
#memory #agents #agentic_ai


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๐Ÿง  By: https://t.iss.one/DataScienceM
๐Ÿ”ฅ Trending Repository: LiteRT

๐Ÿ“ Description: LiteRT, successor to TensorFlow Lite. is Google's On-device framework for high-performance ML & GenAI deployment on edge platforms, via efficient conversion, runtime, and optimization

๐Ÿ”— Repository URL: https://github.com/google-ai-edge/LiteRT

๐ŸŒ Website: https://ai.google.dev/edge/litert/next/overview

๐Ÿ“– Readme: https://github.com/google-ai-edge/LiteRT#readme

๐Ÿ“Š Statistics:
๐ŸŒŸ Stars: 1.6k
๐Ÿ‘€ Watchers: 15
๐Ÿด Forks: 206

๐Ÿ’ป Programming Languages: C++ - MLIR - HTML - Python - Starlark - C

๐Ÿท๏ธ Related Topics: Not available

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๐Ÿง  By: https://t.iss.one/DataScienceM
๐Ÿ”ฅ Trending Repository: A2UI

๐Ÿ“ Description: No description available

๐Ÿ”— Repository URL: https://github.com/google/A2UI

๐ŸŒ Website: https://a2ui.org/

๐Ÿ“– Readme: https://github.com/google/A2UI#readme

๐Ÿ“Š Statistics:
๐ŸŒŸ Stars: 12.3k
๐Ÿ‘€ Watchers: 89
๐Ÿด Forks: 934

๐Ÿ’ป Programming Languages: TypeScript - Python

๐Ÿท๏ธ Related Topics: Not available

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๐Ÿง  By: https://t.iss.one/DataScienceM
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๐Ÿ”ฅ Trending Repository: browser

๐Ÿ“ Description: Lightpanda: the headless browser designed for AI and automation

๐Ÿ”— Repository URL: https://github.com/lightpanda-io/browser

๐ŸŒ Website: https://lightpanda.io

๐Ÿ“– Readme: https://github.com/lightpanda-io/browser#readme

๐Ÿ“Š Statistics:
๐ŸŒŸ Stars: 14.2k
๐Ÿ‘€ Watchers: 42
๐Ÿด Forks: 486

๐Ÿ’ป Programming Languages: Zig - HTML - Rust - JavaScript - Makefile - Dockerfile

๐Ÿท๏ธ Related Topics:
#browser #zig #headless #cdp #browser_automation #puppeteer #playwright


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๐Ÿง  By: https://t.iss.one/DataScienceM
๐Ÿ”ฅ Trending Repository: dolt

๐Ÿ“ Description: Dolt โ€“ Git for Data

๐Ÿ”— Repository URL: https://github.com/dolthub/dolt

๐ŸŒ Website: https://www.dolthub.com

๐Ÿ“– Readme: https://github.com/dolthub/dolt#readme

๐Ÿ“Š Statistics:
๐ŸŒŸ Stars: 20.8k
๐Ÿ‘€ Watchers: 121
๐Ÿด Forks: 664

๐Ÿ’ป Programming Languages: Go - Shell - JavaScript - Java - Python - C

๐Ÿท๏ธ Related Topics:
#mysql #git #sql #database #mariadb #immutable_database #data_version_control #data_versioning #ai_agents #database_version_control #decentralized_database #git_database #git_for_data #database_versioning #version_controlled_database #git_for_databases #git_sql #agent_memory #ai_database #agent_memory_server


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๐Ÿง  By: https://t.iss.one/DataScienceM
๐Ÿ”ฅ Trending Repository: OpenViking

๐Ÿ“ Description: OpenViking is an open-source context database designed specifically for AI Agents(such as openclaw). OpenViking unifies the management of context (memory, resources, and skills) that Agents need through a file system paradigm, enabling hierarchical context delivery and self-evolving.

๐Ÿ”— Repository URL: https://github.com/volcengine/OpenViking

๐ŸŒ Website: https://openviking.ai

๐Ÿ“– Readme: https://github.com/volcengine/OpenViking#readme

๐Ÿ“Š Statistics:
๐ŸŒŸ Stars: 9.5k
๐Ÿ‘€ Watchers: 36
๐Ÿด Forks: 655

๐Ÿ’ป Programming Languages: Python - C++ - Rust - JavaScript - Shell - CSS

๐Ÿท๏ธ Related Topics:
#agent #memory #skill #filesystem #opencode #ai_agents #rag #llm #agentic_rag #context_engineering #context_database #openclaw #clawbot


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๐Ÿง  By: https://t.iss.one/DataScienceM
โค2
๐Ÿ”ฅ Trending Repository: dimos

๐Ÿ“ Description: The Dimensional Framework

๐Ÿ”— Repository URL: https://github.com/dimensionalOS/dimos

๐Ÿ“– Readme: https://github.com/dimensionalOS/dimos#readme

๐Ÿ“Š Statistics:
๐ŸŒŸ Stars:
๐Ÿ‘€ Watchers: 11
๐Ÿด Forks: 142

๐Ÿ’ป Programming Languages: Python - Shell - TypeScript - C++ - HTML - Dockerfile

๐Ÿท๏ธ Related Topics: Not available

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๐Ÿง  By: https://t.iss.one/DataScienceM
โค1
๐Ÿ”ฅ Trending Repository: project-nomad

๐Ÿ“ Description: Project N.O.M.A.D, is a self-contained, offline survival computer packed with critical tools, knowledge, and AI to keep you informed and empoweredโ€”anytime, anywhere.

๐Ÿ”— Repository URL: https://github.com/Crosstalk-Solutions/project-nomad

๐Ÿ“– Readme: https://github.com/Crosstalk-Solutions/project-nomad#readme

๐Ÿ“Š Statistics:
๐ŸŒŸ Stars: 659
๐Ÿ‘€ Watchers: 14
๐Ÿด Forks: 84

๐Ÿ’ป Programming Languages: TypeScript - Shell

๐Ÿท๏ธ Related Topics: Not available

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๐Ÿง  By: https://t.iss.one/DataScienceM
โค1
๐Ÿ”ฅ Trending Repository: claude-code-best-practice

๐Ÿ“ Description: practice made claude perfect

๐Ÿ”— Repository URL: https://github.com/shanraisshan/claude-code-best-practice

๐Ÿ“– Readme: https://github.com/shanraisshan/claude-code-best-practice#readme

๐Ÿ“Š Statistics:
๐ŸŒŸ Stars:
๐Ÿ‘€ Watchers: 174
๐Ÿด Forks: 1.5k

๐Ÿ’ป Programming Languages: HTML - Python

๐Ÿท๏ธ Related Topics:
#best_practices #claude_ai #vibe_coding #claude_code #agentic_engineering


==================================
๐Ÿง  By: https://t.iss.one/DataScienceM
โค1
๐Ÿ”ฅ Trending Repository: vite-plus

๐Ÿ“ Description: Vite+ is the unified toolchain and entry point for web development. It manages your runtime, package manager, and frontend toolchain in one place.

๐Ÿ”— Repository URL: https://github.com/voidzero-dev/vite-plus

๐ŸŒ Website: https://viteplus.dev

๐Ÿ“– Readme: https://github.com/voidzero-dev/vite-plus#readme

๐Ÿ“Š Statistics:
๐ŸŒŸ Stars: 1.4k
๐Ÿ‘€ Watchers: 10
๐Ÿด Forks: 43

๐Ÿ’ป Programming Languages: Rust - TypeScript - JavaScript - Shell - PowerShell - Just

๐Ÿท๏ธ Related Topics: Not available

==================================
๐Ÿง  By: https://t.iss.one/DataScienceM
โค1
Data Science Jupyter Notebooks
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Top 10 Database Scaling Techniques You Should Know:

1. ๐ˆ๐ง๐๐ž๐ฑ๐ข๐ง๐ : Create indexes on frequently queried columns to speed up data retrieval.

2. ๐•๐ž๐ซ๐ญ๐ข๐œ๐š๐ฅ ๐’๐œ๐š๐ฅ๐ข๐ง๐ : Upgrade your database server by adding more CPU, RAM, or storage to handle increased load.

3.  ๐‚๐š๐œ๐ก๐ข๐ง๐ : Store frequently accessed data in-memory (e.g., Redis,  Memcached) to reduce database load and improve response time.

4.  ๐’๐ก๐š๐ซ๐๐ข๐ง๐ : Distribute data across multiple servers by splitting  the database into smaller, independent shards, allowing for horizontal  scaling and improved performance.

5. ๐‘๐ž๐ฉ๐ฅ๐ข๐œ๐š๐ญ๐ข๐จ๐ง:  Create multiple copies (replicas) of the database across different  servers, enabling read queries to be distributed across replicas and  improving availability.

6. ๐๐ฎ๐ž๐ซ๐ฒ ๐Ž๐ฉ๐ญ๐ข๐ฆ๐ข๐ณ๐š๐ญ๐ข๐จ๐ง:  Fine-tune SQL queries, eliminate expensive operations, and leverage  indexes effectively to improve execution speed and reduce database load.

7.  ๐‚๐จ๐ง๐ง๐ž๐œ๐ญ๐ข๐จ๐ง ๐๐จ๐จ๐ฅ๐ข๐ง๐ : Reduce the overhead of  opening/closing database connections by reusing existing ones, improving  performance under heavy traffic.

8. ๐•๐ž๐ซ๐ญ๐ข๐œ๐š๐ฅ  ๐๐š๐ซ๐ญ๐ข๐ญ๐ข๐จ๐ง๐ข๐ง๐ : Split large tables into smaller, more  manageable parts (partitions), each containing a subset of the  columns/features from the original table.

9.  ๐ƒ๐ž๐ง๐จ๐ซ๐ฆ๐š๐ฅ๐ข๐ณ๐š๐ญ๐ข๐จ๐ง: Store data in a redundant but structured  format to minimize complex joins and speed up read-heavy workloads.

10.  ๐Œ๐š๐ญ๐ž๐ซ๐ข๐š๐ฅ๐ข๐ณ๐ž๐ ๐•๐ข๐ž๐ฐ๐ฌ: 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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