Python | Algorithms | Data Structures | Cyber ​​Security | Networks
38.7K subscribers
791 photos
23 videos
21 files
716 links
This channel is for Programmers, Coders, Software Engineers.

1) Python
2) django
3) python frameworks
4) Data Structures
5) Algorithms
6) DSA

Admin: @Hussein_Sheikho

Ad & Earn money form your channel:
https://telega.io/?r=nikapsOH
Download Telegram
# Interview Power Move: Parallel Merging
from concurrent.futures import ThreadPoolExecutor
from PyPDF2 import PdfMerger

def parallel_merge(pdf_list, output, max_workers=4):
chunks = [pdf_list[i::max_workers] for i in range(max_workers)]
temp_files = []

def merge_chunk(chunk, idx):
temp = f"temp_{idx}.pdf"
merger = PdfMerger()
for pdf in chunk:
merger.append(pdf)
merger.write(temp)
return temp

with ThreadPoolExecutor() as executor:
temp_files = list(executor.map(merge_chunk, chunks, range(max_workers)))

# Final merge of chunks
final_merger = PdfMerger()
for temp in temp_files:
final_merger.append(temp)
final_merger.write(output)

parallel_merge(["doc1.pdf", "doc2.pdf", ...], "parallel_merge.pdf")


# Pro Tip: Validate PDFs before merging
from PyPDF2 import PdfReader

def is_valid_pdf(path):
try:
with open(path, "rb") as f:
reader = PdfReader(f)
return len(reader.pages) > 0
except:
return False

valid_pdfs = [f for f in pdf_files if is_valid_pdf(f)]
merger.append(valid_pdfs) # Only merge valid files


# Real-World Case Study: Invoice Processing Pipeline
import glob
from PyPDF2 import PdfMerger

def process_monthly_invoices():
# 1. Download invoices from SFTP
download_invoices("sftp://vendor.com/invoices/*.pdf")

# 2. Validate and sort
invoices = sorted(
[f for f in glob.glob("invoices/*.pdf") if is_valid_pdf(f)],
key=lambda x: extract_invoice_date(x)
)

# 3. Merge with cover page
merger = PdfMerger()
merger.append("cover_template.pdf")
for inv in invoices:
merger.append(inv, outline_item=get_client_name(inv))

# 4. Add metadata and encrypt
merger.add_metadata({"/InvoiceCount": str(len(invoices))})
merger.encrypt(owner_pwd="finance_team_2023")
merger.write(f"Q3_Invoices_{datetime.now().strftime('%Y%m')}.pdf")

# 5. Upload to secure storage
upload_to_s3("secure-bucket/processed/", "Q3_Invoices.pdf")

process_monthly_invoices()


By: https://t.iss.one/DataScience4

#Python #PDFProcessing #DocumentAutomation #PyPDF2 #CodingInterview #BackendDevelopment #FileHandling #DataEngineering #TechJobs #Programming #SystemDesign #DeveloperTips #CareerGrowth #CloudComputing #Docker #Microservices #Productivity #TechTips #Python3 #SoftwareEngineering
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! 🤖

# 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


https://t.iss.one/DataScienceM 🦾
Please open Telegram to view this post
VIEW IN TELEGRAM