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🖥 کتابخانه های پایتون برای کار با PDF

در این پست مجموعه ای از بهترین کتابخانه ها که به استخراج متن ، ویرایش ، تجزیه و تحلیل اسناد PDF کمک می کنند ، ارائه شده است. هر یک از آنها نقاط قوت خاص خود را دارند

📌 pypdf2 - for reading, separation, association, turning and modification PDF 
🔗 https://github.com/py-pdf/pypdf

📌 pdfminer - extracts text, structure and meta -information from PDF (including fonts and coordinates) 
🔗 https://github.com/pdfminer/pdfminer.six

📌 Reportlab-Creation of PDF files with graphs, tables, styles and a mile 
🔗 https://www.reportlab.com/opensource/

📌 pypdfium2 - quick rendering and extraction of images using the PDFIUM engine 
🔗 https://pypi.org/project/pypdfium2/

📌 pdfplumber - convenient extraction of text, tables and coordinates of objects 
🔗 https://github.com/jsvine/pdfplumber

📌 pymupdf (fitz) - fast and powerful library for analysis, rendering and annotation PDF 
🔗 https://github.com/pymupdf/pymupdf



#پایتون  #Python #کتابخانه
🆔 @Python4all_pro



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🖥 کتابخانه های پایتون برای کار با PDF

در این پست مجموعه ای از بهترین کتابخانه ها که به استخراج متن ، ویرایش ، تجزیه و تحلیل اسناد PDF کمک می کنند ، ارائه شده است. هر یک از آنها نقاط قوت خاص خود را دارند

📌 pypdf2 - for reading, separation, association, turning and modification PDF 
🔗 https://github.com/py-pdf/pypdf

📌 pdfminer - extracts text, structure and meta -information from PDF (including fonts and coordinates) 
🔗 https://github.com/pdfminer/pdfminer.six

📌 Reportlab-Creation of PDF files with graphs, tables, styles and a mile 
🔗 https://www.reportlab.com/opensource/

📌 pypdfium2 - quick rendering and extraction of images using the PDFIUM engine 
🔗 https://pypi.org/project/pypdfium2/

📌 pdfplumber - convenient extraction of text, tables and coordinates of objects 
🔗 https://github.com/jsvine/pdfplumber

📌 pymupdf (fitz) - fast and powerful library for analysis, rendering and annotation PDF 
🔗 https://github.com/pymupdf/pymupdf



#پایتون  #Python #کتابخانه
🆔 @Python4all_pro

BY پایتون ( Machine Learning | Data Science )


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Dump Scam in Leaked Telegram Chat

A leaked Telegram discussion by 50 so-called crypto influencers has exposed the extraordinary steps they take in order to profit on the back off unsuspecting defi investors. According to a leaked screenshot of the chat, an elaborate plan to defraud defi investors using the worthless “$Few” tokens had been hatched. $Few tokens would be airdropped to some of the influencers who in turn promoted these to unsuspecting followers on Twitter.

Traders also expressed uncertainty about the situation with China Evergrande, as the indebted property company has not provided clarification about a key interest payment.In economic news, the Commerce Department reported an unexpected increase in U.S. new home sales in August.Crude oil prices climbed Friday and front-month WTI oil futures contracts saw gains for a fifth straight week amid tighter supplies. West Texas Intermediate Crude oil futures for November rose $0.68 or 0.9 percent at 73.98 a barrel. WTI Crude futures gained 2.8 percent for the week.

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