Data Science Jupyter Notebooks
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Explore the world of Data Science through Jupyter Notebooksβ€”insights, tutorials, and tools to boost your data journey. Code, analyze, and visualize smarter with every post.
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πŸ”₯ Trending Repository: programming-math-science

πŸ“ Description: This is a list of links to different freely available learning resources about computer programming, math, and science.

πŸ”— Repository URL: https://github.com/bobeff/programming-math-science

πŸ“– Readme: https://github.com/bobeff/programming-math-science#readme

πŸ“Š Statistics:
🌟 Stars: 1.8K stars
πŸ‘€ Watchers: 26
🍴 Forks: 129 forks

πŸ’» Programming Languages: Not available

🏷️ Related Topics:
#science #programming #math #awesome_list


==================================
🧠 By: https://t.iss.one/DataScienceN
πŸ”₯ Trending Repository: LearnRust

πŸ“ Description: Rust Learning Resources

πŸ”— Repository URL: https://github.com/ImplFerris/LearnRust

🌐 Website: https://implrust.com

πŸ“– Readme: https://github.com/ImplFerris/LearnRust#readme

πŸ“Š Statistics:
🌟 Stars: 1.8K stars
πŸ‘€ Watchers: 32
🍴 Forks: 188 forks

πŸ’» Programming Languages: Not available

🏷️ Related Topics:
#rust #learning #programming #rust_lang #rust_tutorial #learn_rust #rust_programming


==================================
🧠 By: https://t.iss.one/DataScienceN
πŸ”₯ Trending Repository: awesome-learning

πŸ“ Description: A curated lists of awesome learning resources for a Software Test Automation Engineer

πŸ”— Repository URL: https://github.com/mfaisalkhatri/awesome-learning

πŸ“– Readme: https://github.com/mfaisalkhatri/awesome-learning#readme

πŸ“Š Statistics:
🌟 Stars: 1.1K stars
πŸ‘€ Watchers: 36
🍴 Forks: 198 forks

πŸ’» Programming Languages: Not available

🏷️ Related Topics:
#github #javascript #python #docker #programming_language #learning #devops #awesome #learning_path #tdd #continuous_integration #continuous_delivery #unicorns #test_automation #awesome_list #cicd #testautomation #software_testing #hacktoberfest


==================================
🧠 By: https://t.iss.one/DataScienceN
πŸ”₯ Trending Repository: resources

πŸ“ Description: Here is a list of best resources to get you started with learning how to code (mostly related to Web Development). Feel free to add your favorite resources as well and help others in their journey of learning.

πŸ”— Repository URL: https://github.com/zero-to-mastery/resources

🌐 Website: https://zero-to-mastery.github.io/resources/

πŸ“– Readme: https://github.com/zero-to-mastery/resources#readme

πŸ“Š Statistics:
🌟 Stars: 2.7K stars
πŸ‘€ Watchers: 71
🍴 Forks: 1.1K forks

πŸ’» Programming Languages: HTML - Shell - Ruby

🏷️ Related Topics:
#react #javascript #podcasts #articles #youtube_channel #programming_resources #youtube_channels #tutorial_list #developer_resources


==================================
🧠 By: https://t.iss.one/DataScienceN
πŸ”₯ Trending Repository: professional-programming

πŸ“ Description: A collection of learning resources for curious software engineers

πŸ”— Repository URL: https://github.com/charlax/professional-programming

πŸ“– Readme: https://github.com/charlax/professional-programming#readme

πŸ“Š Statistics:
🌟 Stars: 47.9K stars
πŸ‘€ Watchers: 970
🍴 Forks: 3.8K forks

πŸ’» Programming Languages: Python - HTML

🏷️ Related Topics:
#programming_language #learning #computer_science #documentation #architecture #concepts #scalability #professional #programmer #software_engineering #engineer #read_articles #lessons_learned


==================================
🧠 By: https://t.iss.one/DataScienceN
πŸ”₯ Trending Repository: serena

πŸ“ Description: A powerful coding agent toolkit providing semantic retrieval and editing capabilities (MCP server & Agno integration)

πŸ”— Repository URL: https://github.com/oraios/serena

πŸ“– Readme: https://github.com/oraios/serena#readme

πŸ“Š Statistics:
🌟 Stars: 11K stars
πŸ‘€ Watchers: 54
🍴 Forks: 772 forks

πŸ’» Programming Languages: Python - Elixir - Erlang - JavaScript - Nix - Lua

🏷️ Related Topics:
#agent #programming #ai #language_server #claude #llms #ai_coding #mcp_server #vibe_coding #claude_code


==================================
🧠 By: https://t.iss.one/DataScienceM
πŸ”₯ Trending Repository: system-design-primer

πŸ“ Description: Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

πŸ”— Repository URL: https://github.com/donnemartin/system-design-primer

πŸ“– Readme: https://github.com/donnemartin/system-design-primer#readme

πŸ“Š Statistics:
🌟 Stars: 319K stars
πŸ‘€ Watchers: 6.8k
🍴 Forks: 52.2K forks

πŸ’» Programming Languages: Python - Shell

🏷️ Related Topics:
#python #design #development #programming #web #system #design_patterns #interview #web_application #webapp #interview_practice #interview_questions #design_system


==================================
🧠 By: https://t.iss.one/DataScienceM
πŸ”₯ Trending Repository: coding-interview-university

πŸ“ Description: A complete computer science study plan to become a software engineer.

πŸ”— Repository URL: https://github.com/jwasham/coding-interview-university

πŸ“– Readme: https://github.com/jwasham/coding-interview-university#readme

πŸ“Š Statistics:
🌟 Stars: 328K stars
πŸ‘€ Watchers: 8.5k
🍴 Forks: 80.5K forks

πŸ’» Programming Languages: Not available

🏷️ Related Topics:
#computer_science #algorithm #algorithms #interview #data_structures #software_engineering #coding_interviews #study_plan #interview_prep #interview_preparation #coding_interview #programming_interviews


==================================
🧠 By: https://t.iss.one/DataScienceM
πŸ”₯ Trending Repository: build-your-own-x

πŸ“ Description: Master programming by recreating your favorite technologies from scratch.

πŸ”— Repository URL: https://github.com/codecrafters-io/build-your-own-x

🌐 Website: https://codecrafters.io

πŸ“– Readme: https://github.com/codecrafters-io/build-your-own-x#readme

πŸ“Š Statistics:
🌟 Stars: 430K stars
πŸ‘€ Watchers: 6.3k
🍴 Forks: 40.4K forks

πŸ’» Programming Languages: Markdown

🏷️ Related Topics:
#programming #tutorials #free #awesome_list #tutorial_code #tutorial_exercises


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🧠 By: https://t.iss.one/DataScienceM
In Python, building AI-powered Telegram bots unlocks massive potential for image generation, processing, and automationβ€”master this to create viral tools and ace full-stack interviews! πŸ€–

# Basic Bot Setup - The foundation (PTB v20+ Async)
from telegram.ext import Application, CommandHandler, MessageHandler, filters

async def start(update, context):
await update.message.reply_text(
"✨ AI Image Bot Active!\n"
"/generate - Create images from text\n"
"/enhance - Improve photo quality\n"
"/help - Full command list"
)

app = Application.builder().token("YOUR_BOT_TOKEN").build()
app.add_handler(CommandHandler("start", start))
app.run_polling()


# Image Generation - DALL-E Integration (OpenAI)
import openai
from telegram.ext import ContextTypes

openai.api_key = os.getenv("OPENAI_API_KEY")

async def generate(update: Update, context: ContextTypes.DEFAULT_TYPE):
if not context.args:
await update.message.reply_text("❌ Usage: /generate cute robot astronaut")
return

prompt = " ".join(context.args)
try:
response = openai.Image.create(
prompt=prompt,
n=1,
size="1024x1024"
)
await update.message.reply_photo(
photo=response['data'][0]['url'],
caption=f"🎨 Generated: *{prompt}*",
parse_mode="Markdown"
)
except Exception as e:
await update.message.reply_text(f"πŸ”₯ Error: {str(e)}")

app.add_handler(CommandHandler("generate", generate))


Learn more: https://hackmd.io/@husseinsheikho/building-AI-powered-Telegram-bots

#Python #TelegramBot #AI #ImageGeneration #StableDiffusion #OpenAI #MachineLearning #CodingInterview #FullStack #Chatbots #DeepLearning #ComputerVision #Programming #TechJobs #DeveloperTips #CareerGrowth #CloudComputing #Docker #APIs #Python3 #Productivity #TechTips


https://t.iss.one/DataScienceM 🦾
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πŸ”₯ Trending Repository: kotlin

πŸ“ Description: The Kotlin Programming Language.

πŸ”— Repository URL: https://github.com/JetBrains/kotlin

🌐 Website: https://kotlinlang.org

πŸ“– Readme: https://github.com/JetBrains/kotlin#readme

πŸ“Š Statistics:
🌟 Stars: 51.6K stars
πŸ‘€ Watchers: 1.5k
🍴 Forks: 6.1K forks

πŸ’» Programming Languages: Kotlin - Java - Swift - C - C++ - Objective-C++

🏷️ Related Topics:
#kotlin #programming_language #compiler #webassembly #wasm #kotlin_library #maven_plugin #gradle_plugin #intellij_plugin


==================================
🧠 By: https://t.iss.one/DataScienceM
β€’ Error Handling: Always wrap dispatch logic in try-except blocks to gracefully handle network issues, authentication failures, or incorrect receiver addresses.
β€’ Security: Never hardcode credentials directly in scripts. Use environment variables (os.environ.get()) or a secure configuration management system. Ensure starttls() is called for encrypted communication.
β€’ Rate Limits: SMTP servers impose limits on the number of messages one can send per hour or day. Implement pauses (time.sleep()) between dispatches to respect these limits and avoid being flagged as a spammer.
β€’ Opt-Outs: For promotional dispatches, ensure compliance with regulations (like GDPR, CAN-SPAM) by including clear unsubscribe options.

Concluding Thoughts

Automating electronic message dispatch empowers users to scale their communication efforts with remarkable efficiency. By leveraging Python's native capabilities, anyone can construct a powerful, flexible system for broadcasting anything from routine updates to extensive promotional campaigns. The journey into programmatic dispatch unveils a world of streamlined operations and enhanced communicative reach.

#python #automation #email #smtplib #emailautomation #programming #scripting #communication #developer #efficiency

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By: @DataScienceN ✨