Forwarded from Machine Learning with Python
Python Cheat Sheet
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📱 Our WhatsApp channel: https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
#AI #SentimentAnalysis #DataVisualization #pandas #Numpy #InteractiveDesign #NLP #MachineLearning #Python #GitHubProjects #TowardsDataScience
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Preparing for Data Science Interviews With LeetCode FAQs.pdf
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👨🏻💻 If you're aiming for top tech companies like Google or Amazon, it's natural to feel overwhelmed and unsure where to begin. I’ve been there too—facing tons of questions without a clear roadmap of what to study or when.
✏️ That’s why I decided to create a step-by-step plan for myself. In this guide, I’ve compiled the most frequently asked LeetCode questions, complete with solutions, techniques, and patterns to help you master the kinds of problems that big companies love to ask.
#DataScience #InterviewPrep #LeetCode #CodingInterview #TechInterviews #GoogleInterview #AmazonInterview #Python #MachineLearning #AI #CareerTips
✉️ Our Telegram channels: https://xn--r1a.website/addlist/0f6vfFbEMdAwODBk📱 Our WhatsApp channel: https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
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Part 3: Enterprise Web Scraping – Building Scalable, Compliant, and Future-Proof Data Extraction Systems
Duration: ~60 minutes
Link A: https://hackmd.io/@husseinsheikho/WS-3A
Link B (Rest): https://hackmd.io/@husseinsheikho/WS-3B
Duration: ~60 minutes
Link A: https://hackmd.io/@husseinsheikho/WS-3A
Link B (Rest): https://hackmd.io/@husseinsheikho/WS-3B
#EnterpriseScraping #DataEngineering #ScrapyCluster #MachineLearning #RealTimeData #Compliance #WebScraping #BigData #CloudScraping #DataMonetization
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Forwarded from Machine Learning
In Python, building AI-powered Telegram bots unlocks massive potential for image generation, processing, and automation—master this to create viral tools and ace full-stack interviews! 🤖
Learn more: https://hackmd.io/@husseinsheikho/building-AI-powered-Telegram-bots
https://xn--r1a.website/DataScienceM🦾
# 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"🔥 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
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