🔥 Trending Repository: summarize

📝 Description: Point at any URL/YouTube/Podcast or file. Get the gist. CLI and Chrome Extension.

🔗 Repository URL: https://github.com/steipete/summarize

🌐 Website: https://summarize.sh

📖 Readme: https://github.com/steipete/summarize#readme

📊 Statistics:
🌟 Stars: 3.2K stars
👀 Watchers: 14
🍴 Forks: 213 forks

💻 Programming Languages: TypeScript - CSS

🏷️ Related Topics:

#cli #typescript #ai #summarize

==================================
🧠 By: https://t.iss.one/DataScienceM

Roadmap to Master Data Science in 60 Days! 📊🤖

📅 Week 1–2: Python & Data Handling Basics
- Day 1–5: Python fundamentals — variables, loops, functions, lists, dictionaries
- Day 6–10: NumPy & Pandas — arrays, data cleaning, filtering, data manipulation

📅 Week 3–4: Data Analysis & Visualization
- Day 11–15: Data analysis — EDA (Exploratory Data Analysis), statistics basics, data preprocessing
- Day 16–20: Data visualization — Matplotlib, Seaborn, charts, dashboards, storytelling with data

📅 Week 5–6: Machine Learning Fundamentals
- Day 21–25: ML concepts — supervised vs unsupervised learning, regression, classification
- Day 26–30: ML algorithms — Linear Regression, Logistic Regression, Decision Trees, KNN

📅 Week 7–8: Advanced ML & Model Building
- Day 31–35: Model evaluation — train/test split, cross-validation, accuracy, precision, recall
- Day 36–40: Scikit-learn, feature engineering, model tuning, clustering (K-Means)

📅 Week 9: SQL & Real-World Data Skills
- Day 41–45: SQL — SELECT, WHERE, JOIN, GROUP BY, subqueries
- Day 46–50: Working with real datasets, Kaggle practice, data pipelines basics

📅 Final Days: Projects + Deployment
- Day 51–60:
– Build 2–3 projects (sales prediction, customer segmentation, recommendation system)
– Create portfolio on GitHub
– Learn basics of model deployment (Streamlit/Flask)
– Prepare for data science interviews

⭐ Bonus Tip: Focus more on projects than theory — companies hire for practical skills.



https://t.iss.one/DataScienceM

🔥 Trending Repository: qwen-code

📝 Description: An open-source AI agent that lives in your terminal.

🔗 Repository URL: https://github.com/QwenLM/qwen-code

🌐 Website: https://qwenlm.github.io/qwen-code-docs/en/users/overview

📖 Readme: https://github.com/QwenLM/qwen-code#readme

📊 Statistics:
🌟 Stars: 18.6K stars
👀 Watchers: 107
🍴 Forks: 1.6K forks

💻 Programming Languages: TypeScript - JavaScript - Java - CSS - Python - HTML

🏷️ Related Topics: Not available

==================================
🧠 By: https://t.iss.one/DataScienceM

🔥 Trending Repository: RAG_Techniques

📝 Description: This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and contextually rich responses.

🔗 Repository URL: https://github.com/NirDiamant/RAG_Techniques

📖 Readme: https://github.com/NirDiamant/RAG_Techniques#readme

📊 Statistics:
🌟 Stars: 25K stars
👀 Watchers: 243
🍴 Forks: 2.9K forks

💻 Programming Languages: Jupyter Notebook - Python

🏷️ Related Topics:

#python #ai #tutorials #rag #llm #llms #langchain #llama_index #opeani

==================================
🧠 By: https://t.iss.one/DataScienceM

🔥 Trending Repository: pyrite64

📝 Description: N64 Game-Engine and Editor using libdragon & tiny3d

🔗 Repository URL: https://github.com/HailToDodongo/pyrite64

📖 Readme: https://github.com/HailToDodongo/pyrite64#readme

📊 Statistics:
🌟 Stars: 876 stars
👀 Watchers: 21
🍴 Forks: 33 forks

💻 Programming Languages: C++ - C - Assembly - GLSL - CMake - Shell

🏷️ Related Topics: Not available

==================================
🧠 By: https://t.iss.one/DataScienceM

🔥 Trending Repository: composio

📝 Description: Composio equips your AI agents & LLMs with 100+ high-quality integrations via function calling

🔗 Repository URL: https://github.com/ComposioHQ/composio

🌐 Website: https://docs.composio.dev

📖 Readme: https://github.com/ComposioHQ/composio#readme

📊 Statistics:
🌟 Stars: 26.6K stars
👀 Watchers: 61
🍴 Forks: 4.4K forks

💻 Programming Languages: TypeScript - Python - MDX - Shell - JavaScript - CSS

🏷️ Related Topics:

#javascript #python #typescript #ai #js #mcp #sse #developer_tools #agents #ai_agents #gpt_4 #llm #llmops #function_calling #aiagents #agentic_ai #remote_mcp_server

==================================
🧠 By: https://t.iss.one/DataScienceM

🔥 Trending Repository: convert

📝 Description: Truly universal online file converter

🔗 Repository URL: https://github.com/p2r3/convert

🌐 Website: https://convert.to.it

📖 Readme: https://github.com/p2r3/convert#readme

📊 Statistics:
🌟 Stars: 1.1K stars
👀 Watchers: 8
🍴 Forks: 116 forks

💻 Programming Languages: TypeScript - JavaScript - CSS

🏷️ Related Topics: Not available

==================================
🧠 By: https://t.iss.one/DataScienceM

Bookmark these sites FOREVER!!!

❯ HTML ➟ learn-html
❯ CSS ➟ css-tricks
❯ JavaScript ➟ javascript .info
❯ Python ➟ realpython
❯ C ➟ learn-c
❯ C++ ➟ fluentcpp
❯ Java ➟ baeldung
❯ SQL ➟ sqlbolt
❯ Go ➟ learn-golang
❯ Kotlin ➟ studytonight
❯ Swift ➟ codewithchris
❯ C# ➟ learncs
❯ PHP ➟ learn-php
❯ DSA ➟ techdevguide .withgoogle


https://t.iss.one/DataScienceM

🔥 Trending Repository: open-mercato

📝 Description: AI‑supportive CRM / ERP foundation framework — built to power R&D, new processes, operations, and growth. It’s modular, extensible, and designed for teams that want strong defaults with room to customize everything. Better than Django, Retool and other alternatives - and Enterprise Grade!

🔗 Repository URL: https://github.com/open-mercato/open-mercato

🌐 Website: https://docs.openmercato.com

📖 Readme: https://github.com/open-mercato/open-mercato#readme

📊 Statistics:
🌟 Stars: 524 stars
👀 Watchers: 10
🍴 Forks: 97 forks

💻 Programming Languages: TypeScript - MDX - JavaScript - Python - CSS - Shell

🏷️ Related Topics:

#typescript #erp #crm #crm_platform

==================================
🧠 By: https://t.iss.one/DataScienceM

🔥 Trending Repository: freemocap

📝 Description: Free Motion Capture for Everyone 💀✨

🔗 Repository URL: https://github.com/freemocap/freemocap

🌐 Website: https://freemocap.org

📖 Readme: https://github.com/freemocap/freemocap#readme

📊 Statistics:
🌟 Stars: 4.9K stars
👀 Watchers: 108
🍴 Forks: 405 forks

💻 Programming Languages: Python - Jupyter Notebook - TypeScript - CSS - SCSS - HTML

🏷️ Related Topics: Not available

==================================
🧠 By: https://t.iss.one/DataScienceM

🔥 Trending Repository: claude-code-telegram

📝 Description: A powerful Telegram bot that provides remote access to Claude Code, enabling developers to interact with their projects from anywhere with full AI assistance and session persistence.

🔗 Repository URL: https://github.com/RichardAtCT/claude-code-telegram

📖 Readme: https://github.com/RichardAtCT/claude-code-telegram#readme

📊 Statistics:
🌟 Stars: 773 stars
👀 Watchers: 3
🍴 Forks: 118 forks

💻 Programming Languages: Python - Makefile

🏷️ Related Topics: Not available

==================================
🧠 By: https://t.iss.one/DataScienceM

Why Data Science is the Game-Changer for Every Industry 📊

Data science isn’t just a buzzword, it’s the engine behind smarter decisions, predictive insights, and innovative solutions. From healthcare to finance, from e-commerce to education, organizations are harnessing the power of data to:
Spot trends before they happen

Make decisions backed by numbers, not guesses 📈
Automate tasks and improve efficiency ⚙

Deliver personalized experiences for customers 💡
Did you know? Companies that leverage data-driven strategies are 5x more likely to make faster decisions than their competitors.

If you’re curious about how data can transform your career or business, now is the perfect time to dive in. Learning Python, SQL, machine learning, and data visualization are great starting points.

https://t.iss.one/DataScienceM

🔥 Trending Repository: pentagi

📝 Description: ✨ Fully autonomous AI Agents system capable of performing complex penetration testing tasks

🔗 Repository URL: https://github.com/vxcontrol/pentagi

🌐 Website: https://pentagi.com

📖 Readme: https://github.com/vxcontrol/pentagi#readme

📊 Statistics:
🌟 Stars: 2.5K stars
👀 Watchers: 32
🍴 Forks: 432 forks

💻 Programming Languages: Go - TypeScript - Go Template - CSS - PLpgSQL - Dockerfile

🏷️ Related Topics:

#react #graphql #golang #open_source #self_hosted #penetration_testing #openai #gpt #offensive_security #autonomous_agents #security_automation #security_tools #ai_agents #security_testing #multi_agent_system #penetration_testing_tools #anthropic #ai_security_tool

==================================
🧠 By: https://t.iss.one/DataScienceM

🔥 Trending Repository: electrobun

📝 Description: Build ultra fast, tiny, and cross-platform desktop apps with Typescript.

🔗 Repository URL: https://github.com/blackboardsh/electrobun

🌐 Website: https://blackboard.sh/electrobun

📖 Readme: https://github.com/blackboardsh/electrobun#readme

📊 Statistics:
🌟 Stars: 5.6K stars
👀 Watchers: 28
🍴 Forks: 94 forks

💻 Programming Languages: C++ - TypeScript - Objective-C++ - HTML - Zig - CSS

🏷️ Related Topics: Not available

==================================
🧠 By: https://t.iss.one/DataScienceM

🔥 Trending Repository: posthog

📝 Description: 🦔 PostHog is an all-in-one developer platform for building successful products. We offer product analytics, web analytics, session replay, error tracking, feature flags, experimentation, surveys, data warehouse, a CDP, and an AI product assistant to help debug your code, ship features faster, and keep all your usage and customer data in one stack.

🔗 Repository URL: https://github.com/PostHog/posthog

🌐 Website: https://posthog.com

📖 Readme: https://github.com/PostHog/posthog#readme

📊 Statistics:
🌟 Stars: 31.3K stars
👀 Watchers: 122
🍴 Forks: 2.3K forks

💻 Programming Languages: Python - TypeScript - Rust - JavaScript - C++ - SCSS

🏷️ Related Topics:

#react #javascript #python #typescript #analytics #web_analytics #feature_flags #data_warehouse #ab_testing #surveys #experiments #cdp #product_analytics #session_replay #ai_analytics

==================================
🧠 By: https://t.iss.one/DataScienceM

🔥 Trending Repository: effect-smol

📝 Description: Core libraries and experimental work for Effect v4

🔗 Repository URL: https://github.com/Effect-TS/effect-smol

📖 Readme: https://github.com/Effect-TS/effect-smol#readme

📊 Statistics:
🌟 Stars: 331 stars
👀 Watchers: 10
🍴 Forks: 40 forks

💻 Programming Languages: TypeScript

🏷️ Related Topics: Not available

==================================
🧠 By: https://t.iss.one/DataScienceM

🔥 Trending Repository: trackers

📝 Description: Trackers gives you clean, modular re-implementations of leading multi-object tracking algorithms released under the permissive Apache 2.0 license. You combine them with any detection model you already use.

🔗 Repository URL: https://github.com/roboflow/trackers

🌐 Website: https://trackers.roboflow.com/

📖 Readme: https://github.com/roboflow/trackers#readme

📊 Statistics:
🌟 Stars: 2.6K stars
👀 Watchers: 27
🍴 Forks: 261 forks

💻 Programming Languages: Python

🏷️ Related Topics:

#sort #multi_object_tracking #bytetrack #oc_sort

==================================
🧠 By: https://t.iss.one/DataScienceM

🔥 Trending Repository: skills

📝 Description: No description available

🔗 Repository URL: https://github.com/huggingface/skills

📖 Readme: https://github.com/huggingface/skills#readme

📊 Statistics:
🌟 Stars: 1.3K stars
👀 Watchers: 13
🍴 Forks: 125 forks

💻 Programming Languages: Python - Shell - HTML - TypeScript

🏷️ Related Topics: Not available

==================================
🧠 By: https://t.iss.one/DataScienceM

🔥 Trending Repository: ai-dev-kit

📝 Description: Databricks Toolkit for Coding Agents provided by Field Engineering

🔗 Repository URL: https://github.com/databricks-solutions/ai-dev-kit

📖 Readme: https://github.com/databricks-solutions/ai-dev-kit#readme

📊 Statistics:
🌟 Stars: 442 stars
👀 Watchers: 7
🍴 Forks: 90 forks

💻 Programming Languages: Python - TypeScript - Shell - PowerShell - CSS - HTML

🏷️ Related Topics:

#cursor #agents #databricks #claude #vibecoding

==================================
🧠 By: https://t.iss.one/DataScienceM

Python for Data analysis

Learn data cleaning, manipulation, statistics, and visualization using Python and the Python Pandas library...

🏷 Category: it-and-software
🌍 Language: English (US)
👥 Students: 19,552 students
⭐️ Rating: 4.4/5.0 (258 reviews)
🏃‍♂️ Enrollments Left: 997
⏳ Expires In: 0D:4H:4M
💰 Price: $9.59 => FREE
🆔 Coupon: 081168B0855193D6E690

⚠️ Please note: A verification layer has been added to prevent bad actors and bots from claiming the courses, so it is important for genuine users to enroll manually to not lose this free opportunity.

💎 By: https://t.iss.one/DataScienceC