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: 30-Days-Of-Python

๐Ÿ“ Description: 30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace. These videos may help too:https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw

๐Ÿ”— Repository URL: https://github.com/Asabeneh/30-Days-Of-Python

๐Ÿ“– Readme: https://github.com/Asabeneh/30-Days-Of-Python#readme

๐Ÿ“Š Statistics:
๐ŸŒŸ Stars: 49.9K stars
๐Ÿ‘€ Watchers: 879
๐Ÿด Forks: 9.5K forks

๐Ÿ’ป Programming Languages: Python - CSS - HTML

๐Ÿท๏ธ Related Topics:
#github #python #heroku #flask #mongodb #numpy #pandas #python3 #matplotlib #30_days_of_python


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

๐Ÿ“ Description: FastAPI framework, high performance, easy to learn, fast to code, ready for production

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

๐ŸŒ Website: https://fastapi.tiangolo.com/

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

๐Ÿ“Š Statistics:
๐ŸŒŸ Stars: 90.2K stars
๐Ÿ‘€ Watchers: 722
๐Ÿด Forks: 8K forks

๐Ÿ’ป Programming Languages: Python

๐Ÿท๏ธ Related Topics:
#python #api #json #framework #web #rest #json_schema #async #swagger #openapi #python3 #asyncio #swagger_ui #redoc #openapi3 #python_types #uvicorn #starlette #pydantic #fastapi


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

๐Ÿ“ Description: MineContext is your proactive context-aware AI partner๏ผˆContext-Engineering+ChatGPT Pulse๏ผ‰

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

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

๐Ÿ“Š Statistics:
๐ŸŒŸ Stars: 1.6K stars
๐Ÿ‘€ Watchers: 12
๐Ÿด Forks: 72 forks

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

๐Ÿท๏ธ Related Topics:
#electron #react #python #agent #memory #python3 #embedding_models #rag #vector_database #vision_language_model #proactive_ai #context_engineering


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๐Ÿง  By: https://t.iss.one/DataScienceM
โค1
In Python, building AI-powered Telegram bots unlocks massive potential for image generation, processing, and automationโ€”master this to create viral tools and ace full-stack interviews! ๐Ÿค–

# 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(
"โœจ 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("โŒ 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"๐ŸŽจ Generated: *{prompt}*",
parse_mode="Markdown"
)
except Exception as e:
await update.message.reply_text(f"๐Ÿ”ฅ 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 ๐Ÿฆพ
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โค4
๐Ÿ”ฅ Trending Repository: MONAI

๐Ÿ“ Description: AI Toolkit for Healthcare Imaging

๐Ÿ”— Repository URL: https://github.com/Project-MONAI/MONAI

๐ŸŒ Website: https://monai.io/

๐Ÿ“– Readme: https://github.com/Project-MONAI/MONAI#readme

๐Ÿ“Š Statistics:
๐ŸŒŸ Stars: 7K stars
๐Ÿ‘€ Watchers: 95
๐Ÿด Forks: 1.3K forks

๐Ÿ’ป Programming Languages: Python - C++ - Cuda

๐Ÿท๏ธ Related Topics:
#deep_learning #python3 #pytorch #medical_image_computing #medical_image_processing #healthcare_imaging #monai


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

๐Ÿ“ Description: ๅพฎ่ˆ†๏ผšไบบไบบๅฏ็”จ็š„ๅคšAgent่ˆ†ๆƒ…ๅˆ†ๆžๅŠฉๆ‰‹๏ผŒๆ‰“็ ดไฟกๆฏ่Œงๆˆฟ๏ผŒ่ฟ˜ๅŽŸ่ˆ†ๆƒ…ๅŽŸ่ฒŒ๏ผŒ้ข„ๆต‹ๆœชๆฅ่ตฐๅ‘๏ผŒ่พ…ๅŠฉๅ†ณ็ญ–๏ผไปŽ0ๅฎž็Žฐ๏ผŒไธไพ่ต–ไปปไฝ•ๆก†ๆžถใ€‚

๐Ÿ”— Repository URL: https://github.com/666ghj/BettaFish

๐Ÿ“– Readme: https://github.com/666ghj/BettaFish#readme

๐Ÿ“Š Statistics:
๐ŸŒŸ Stars: 2.1K stars
๐Ÿ‘€ Watchers:
๐Ÿด Forks: 295 forks

๐Ÿ’ป Programming Languages: Python - HTML

๐Ÿท๏ธ Related Topics:
#nlp #sentiment_analysis #python3 #data_analysis #deep_search #multi_agent_system #agent_framework #public_opinion_analysis #llms #deep_research


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๐Ÿง  By: https://t.iss.one/DataScienceM