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Working on a small Python web scraping tool right now
Trying to pull real-time data from different sources and turn it into something clean and usable.
Basically:
— grab raw data
— clean it
— structure it
— export to CSV / Excel
Using Selenium + BeautifulSoup for this — simple but works really well.
You can use this kind of stuff for:
• price monitoring
• lead generation
• market research
• or just automating boring tasks
Honestly, it saves a lot of time 😄
If you need something like this, feel free to message me 👌
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Related posts
Title:
Lead Management Dashboard — Data Visualization.
Description:
Designed a lead management dashboard to visualize and track key sales metrics including lead status, conversion rates, and session sources. Created a sample dataset and built the dashboard to demonstrate how businesses can monitor their pipeline and make data-driven decisions at a glance.
Tools used:Canva (design), Power BI / Tableau (data visualization experience).
💡 𝗧𝗶𝗽 𝗼𝗳 𝘁𝗵𝗲 𝗗𝗮𝘆 — 𝗗𝗷𝗮𝗻𝗴𝗼
𝗗𝗶𝗱 𝘆𝗼𝘂 𝗸𝗻𝗼𝘄?
Using "only()" and "defer()" in Django can significantly reduce query payload when you don’t need every model field.
🔧 "only()" → Load 𝘰𝘯𝘭𝘺 𝘴𝘱𝘦𝘤𝘪𝘧𝘪𝘤 𝘧𝘪𝘦𝘭𝘥𝘴
🔧 "defer()" → Load 𝘦𝘷𝘦𝘳𝘺𝘵𝘩𝘪𝘯𝘨 𝘦𝘹𝘤𝘦𝘱𝘵 𝘴𝘱𝘦𝘤𝘪𝘧𝘪𝘦𝘥 𝘧𝘪𝘦𝘭𝘥𝘴
Why it matters:
- Less data transferred from DB
- Lower memory usage
- Faster responses for large models
Smart field selection = better performance.
#Python #BackendDevelopment #WebDevelopment #PerformanceOptimization
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