Data Science Jupyter Notebooks – Telegram
Data Science Jupyter Notebooks
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Explore the world of Data Science through Jupyter Notebooks—insights, tutorials, and tools to boost your data journey. Code, analyze, and visualize smarter with every post.
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🔥 Trending Repository: MTProxy

📝 Denoscription: No denoscription available

🔗 Repository URL: https://github.com/TelegramMessenger/MTProxy

📖 Readme: https://github.com/TelegramMessenger/MTProxy#readme

📊 Statistics:
🌟 Stars: 5.8K stars
👀 Watchers: 233
🍴 Forks: 994 forks

💻 Programming Languages: C - Makefile

🏷️ Related Topics: Not available

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🔥 Trending Repository: superhuman

📝 Denoscription: No denoscription available

🔗 Repository URL: https://github.com/google-deepmind/superhuman

📖 Readme: https://github.com/google-deepmind/superhuman#readme

📊 Statistics:
🌟 Stars: 268 stars
👀 Watchers: 14
🍴 Forks: 21 forks

💻 Programming Languages: TeX

🏷️ Related Topics: Not available

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🔥 Trending Repository: slime

📝 Denoscription: slime is an LLM post-training framework for RL Scaling.

🔗 Repository URL: https://github.com/THUDM/slime

🌐 Website: https://thudm.github.io/slime

📖 Readme: https://github.com/THUDM/slime#readme

📊 Statistics:
🌟 Stars: 4K stars
👀 Watchers: 16
🍴 Forks: 523 forks

💻 Programming Languages: Python - Shell

🏷️ Related Topics: Not available

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🔥 Trending Repository: DebugSwift

📝 Denoscription: A toolkit to make debugging iOS applications easier 🚀

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

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

📊 Statistics:
🌟 Stars: 1.3K stars
👀 Watchers: 7
🍴 Forks: 118 forks

💻 Programming Languages: Swift

🏷️ Related Topics:
#debugger #swift #debugging #ui #networking #log #analytics #analysis #view #cocoapods #sandbox #uikit #debug #performance_analysis #crashlytics #hacktoberfest #leak_detection #logs_analysis #layout_debugger #swift6


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SQL 𝗢𝗿𝗱𝗲𝗿 𝗢𝗳 𝗘𝘅𝗲𝗰𝘂𝘁𝗶𝗼𝗻

1 → FROM (Tables selected).
2 → WHERE (Filters applied).
3 → GROUP BY (Rows grouped).
4 → HAVING (Filter on grouped data).
5 → SELECT (Columns selected).
6 → ORDER BY (Sort the data).
7 → LIMIT (Restrict number of rows).

𝗖𝗼𝗺𝗺𝗼𝗻 𝗤𝘂𝗲𝗿𝗶𝗲𝘀 𝗧𝗼 𝗣𝗿𝗮𝗰𝘁𝗶𝗰𝗲 ↓

↬ Find the second-highest salary:

SELECT MAX(Salary) FROM Employees WHERE Salary < (SELECT MAX(Salary) FROM Employees);

↬ Find duplicate records:

SELECT Name, COUNT(*)
FROM Emp
GROUP BY Name
HAVING COUNT(*) > 1;


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🔥 Trending Repository: zvec

📝 Denoscription: A lightweight, lightning-fast, in-process vector database

🔗 Repository URL: https://github.com/alibaba/zvec

🌐 Website: https://zvec.org/en/

📖 Readme: https://github.com/alibaba/zvec#readme

📊 Statistics:
🌟 Stars: 967 stars
👀 Watchers: 4
🍴 Forks: 56 forks

💻 Programming Languages: C++ - SWIG - Python - C - CMake - ANTLR

🏷️ Related Topics:
#embedded_database #rag #vector_search #ann_search #vectordb


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🔥 Trending Repository: wifi-densepose

📝 Denoscription: Production-ready implementation of InvisPose - a revolutionary WiFi-based dense human pose estimation system that enables real-time full-body tracking through walls using commodity mesh routers

🔗 Repository URL: https://github.com/ruvnet/wifi-densepose

📖 Readme: https://github.com/ruvnet/wifi-densepose#readme

📊 Statistics:
🌟 Stars: 6K stars
👀 Watchers: 39
🍴 Forks: 544 forks

💻 Programming Languages: Python - Rust - JavaScript - Shell - HTML - CSS

🏷️ Related Topics: Not available

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🔥 Trending Repository: unstract

📝 Denoscription: No-code LLM Platform to launch APIs and ETL Pipelines to structure unstructured documents

🔗 Repository URL: https://github.com/Zipstack/unstract

🌐 Website: https://unstract.com

📖 Readme: https://github.com/Zipstack/unstract#readme

📊 Statistics:
🌟 Stars: 6.2K stars
👀 Watchers: 46
🍴 Forks: 588 forks

💻 Programming Languages: Python - JavaScript - Shell - CSS

🏷️ Related Topics:
#unstructured_data #etl_pipeline #llm_platform


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🔥 Trending Repository: letta-code

📝 Denoscription: The memory-first coding agent

🔗 Repository URL: https://github.com/letta-ai/letta-code

🌐 Website: https://docs.letta.com/letta-code

📖 Readme: https://github.com/letta-ai/letta-code#readme

📊 Statistics:
🌟 Stars: 1.1K stars
👀 Watchers: 7
🍴 Forks: 133 forks

💻 Programming Languages: TypeScript

🏷️ Related Topics: Not available

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🧠 By: https://news.1rj.ru/str/DataScienceM
🔥 Trending Repository: ruby

📝 Denoscription: The Ruby Programming Language

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

🌐 Website: https://www.ruby-lang.org/

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

📊 Statistics:
🌟 Stars: 23.3K stars
👀 Watchers: 1.1k
🍴 Forks: 5.6K forks

💻 Programming Languages: Ruby - C - Rust - C++ - Yacc - HTML

🏷️ Related Topics:
#ruby #c #language #programming_language #rust #jit #object_oriented #ruby_language


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🔥 Trending Repository: gogcli

📝 Denoscription: Google Suite CLI: Gmail, GCal, GDrive, GContacts.

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

🌐 Website: https://gogcli.sh

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

📊 Statistics:
🌟 Stars: 2.7K stars
👀 Watchers: 19
🍴 Forks: 242 forks

💻 Programming Languages: Go - HTML - Shell

🏷️ Related Topics:
#google #gmail #gdrive #gcal #gcontacts


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🔥 Trending Repository: moonshine

📝 Denoscription: Fast and accurate automatic speech recognition (ASR) for edge devices

🔗 Repository URL: https://github.com/moonshine-ai/moonshine

📖 Readme: https://github.com/moonshine-ai/moonshine#readme

📊 Statistics:
🌟 Stars: 3.6K stars
👀 Watchers: 43
🍴 Forks: 175 forks

💻 Programming Languages: C - C++ - Python - Swift - Java - Jupyter Notebook

🏷️ Related Topics: Not available

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🔥 Trending Repository: brave-browser

📝 Denoscription: Brave browser for Android, iOS, Linux, macOS, Windows.

🔗 Repository URL: https://github.com/brave/brave-browser

🌐 Website: https://brave.com

📖 Readme: https://github.com/brave/brave-browser#readme

📊 Statistics:
🌟 Stars: 21.5K stars
👀 Watchers: 388
🍴 Forks: 3K forks

💻 Programming Languages: Not available

🏷️ Related Topics:
#windows #macos #linux #browser #chromium #brave


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🚀 Master Data Science & Programming!

Unlock your potential with this curated list of Telegram channels. Whether you need books, datasets, interview prep, or project ideas, we have the perfect resource for you. Join the community today!


🔰 Machine Learning with Python
Learn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers.
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🔖 Machine Learning
Machine learning insights, practical tutorials, and clear explanations for beginners and aspiring data scientists. Follow the channel for models, algorithms, coding guides, and real-world ML applications.
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🧠 Code With Python
This channel delivers clear, practical content for developers, covering Python, Django, Data Structures, Algorithms, and DSA – perfect for learning, coding, and mastering key programming skills.
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🎯 PyData Careers | Quiz
Python Data Science jobs, interview tips, and career insights for aspiring professionals.
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💾 Kaggle Data Hub
Your go-to hub for Kaggle datasets – explore, analyze, and leverage data for Machine Learning and Data Science projects.
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🧑‍🎓 Udemy Coupons | Courses
The first channel in Telegram that offers free Udemy coupons
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😀 ML Research Hub
Advancing research in Machine Learning – practical insights, tools, and techniques for researchers.
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💬 Data Science Chat
An active community group for discussing data challenges and networking with peers.
https://news.1rj.ru/str/DataScience9

🐍 Python Arab| بايثون عربي
The largest Arabic-speaking group for Python developers to share knowledge and help.
https://news.1rj.ru/str/PythonArab

🖊 Data Science Jupyter Notebooks
Explore the world of Data Science through Jupyter Notebooks—insights, tutorials, and tools to boost your data journey. Code, analyze, and visualize smarter with every post.
https://news.1rj.ru/str/DataScienceN

📺 Free Online Courses | Videos
Free online courses covering data science, machine learning, analytics, programming, and essential skills for learners.
https://news.1rj.ru/str/DataScienceV

📈 Data Analytics
Dive into the world of Data Analytics – uncover insights, explore trends, and master data-driven decision making.
https://news.1rj.ru/str/DataAnalyticsX

🎧 Learn Python Hub
Master Python with step-by-step courses – from basics to advanced projects and practical applications.
https://news.1rj.ru/str/Python53

⭐️ Research Papers
Professional Academic Writing & Simulation Services
https://news.1rj.ru/str/DataScienceY

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Admin: @HusseinSheikho
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🔥 Trending Repository: claude-pilot

📝 Denoscription: Claude Code is powerful. Pilot makes it reliable. Start a task, grab a coffee, come back to production-grade code. Tests enforced. Context preserved. Quality automated.

🔗 Repository URL: https://github.com/maxritter/claude-pilot

🌐 Website: https://claude-pilot.com

📖 Readme: https://github.com/maxritter/claude-pilot#readme

📊 Statistics:
🌟 Stars: 1.1K stars
👀 Watchers: 17
🍴 Forks: 84 forks

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

🏷️ Related Topics:
#mcp #software_engineering #ai_agents #claude #ai_engineering #ai_assistant #ai_tools #anthropic #claude_ai #anthropic_claude #ai_coding_tools #ai_coding #model_context_protocol #claude_code #claudecode #spec_driven_development #claude_skills #claude_context #claude_mem


==================================
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🔥 Trending Repository: seerr

📝 Denoscription: Open-source media request and discovery manager for Jellyfin, Plex, and Emby.

🔗 Repository URL: https://github.com/seerr-team/seerr

🌐 Website: https://docs.seerr.dev

📖 Readme: https://github.com/seerr-team/seerr#readme

📊 Statistics:
🌟 Stars: 8.9K stars
👀 Watchers: 39
🍴 Forks: 592 forks

💻 Programming Languages: TypeScript - JavaScript - CSS - Pug - Go Template - HTML

🏷️ Related Topics:
#notifications #docker #nzb #movie #sonarr #plex #tv #emby #radarr #jellyfin


==================================
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🔥 Trending Repository: hummingbot

📝 Denoscription: Open source software that helps you create and deploy high-frequency crypto trading bots

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

🌐 Website: https://hummingbot.org

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

📊 Statistics:
🌟 Stars: 16.2K stars
👀 Watchers: 188
🍴 Forks: 4.4K forks

💻 Programming Languages: Python - Cython - C++ - Shell - Makefile - Dockerfile

🏷️ Related Topics:
#python #bot #docker #crypto #bitcoin #trading #cython #ethereum #cryptocurrency #algotrading #hft #arbitrage #dex #orderbook #backtesting #marketmaking


==================================
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🔥 Trending Repository: opencti

📝 Denoscription: Open Cyber Threat Intelligence Platform

🔗 Repository URL: https://github.com/OpenCTI-Platform/opencti

🌐 Website: https://opencti.io

📖 Readme: https://github.com/OpenCTI-Platform/opencti#readme

📊 Statistics:
🌟 Stars: 8.2K stars
👀 Watchers: 147
🍴 Forks: 1.2K forks

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

🏷️ Related Topics:
#security #intelligence #osint #cybersecurity #cti #cyber #threat_intelligence


==================================
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🔥 Trending Repository: summarize

📝 Denoscription: 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 #typenoscript #ai #summarize


==================================
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🔖 An excellent resource for learning about neural networks

We're sharing a cool resource for learning about neural networks, offering clear, step-by-step instruction with dynamic visualizations and easy-to-understand explanations.

In addition, you'll find many other useful materials on machine learning on the site.

Find and use it — https://mlu-explain.github.io/neural-networks/

tags: #AI #ML #PYTHON

@CODEPROGRAMMER
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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.



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