Consize it in 15-20 pages for quick revision

Reading File
Running Command

cd /home/daytona/workspace/attachments/6b027af5-b8f9-4a6a-b33d-9aa5bc792ae4/ && …

Running Command

cd /home/daytona/workspace/attachments/6b027af5-b8f9-4a6a-b33d-9aa5bc792ae4/ && …

Running Command

python3 -c " with open('/home/daytona/workspace/pharma_full_text.txt') as f: …

Running Command

python3 -c " with open('/home/daytona/workspace/pharma_full_text.txt') as f: …

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python3 -c " with open('/home/daytona/workspace/pharma_full_text.txt') as f: …

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python3 << 'PYEOF' import re with open('/home/daytona/workspace/pharma_full_tex…

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python3 -c " with open('/home/daytona/workspace/pharma_cleaned.txt') as f: t…

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python3 << 'PYEOF' with open('/home/daytona/workspace/pharma_cleaned.txt') as f:…

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cat > /home/daytona/workspace/build_pharma_revision.py << 'PYEOF' from reportlab…

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python3 -c " from pypdf import PdfReader r = PdfReader('/home/daytona/workspace/…

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ls /home/daytona/workspace/*.pdf 2>/dev/null; ls /home/daytona/workspace/*.py 2>…

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cd /home/daytona/workspace && python3 build_pharma_revision.py && ls -lh *.pdf

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cd /home/daytona/workspace && python3 -c " from pypdf import PdfReader r = PdfRe…

Running Command

cd /home/daytona/workspace && python3 -c " from pypdf import PdfReader r = PdfRe…

Your 15-page quick revision PDF is ready. Download it here:

Pharmacology Quick Revision

PDF Document · PDF


Here's what's covered across the 15 pages (condensed from 274 pages of Shanbhag-based Q&A):
Page(s)Topic
1Routes of Administration + TTS patches
2-3Pharmacokinetics — Bioavailability, t½, Biotransformation, Prodrugs, TDM
4Pharmacodynamics, Drug Antagonism, Drug Interactions (+ beneficial interactions table)
5ADRs classification, Factors affecting drug action
6Cholinergic drugs, Anticholinesterases, OPC poisoning management
7Atropine, Myasthenia Gravis treatment
8Adrenaline, Adrenergic classification, Alpha/Beta blockers, Glaucoma drugs
9Skeletal Muscle Relaxants (Succinylcholine, NDNMBs)
10ACE Inhibitors & ARBs (MOA, uses, ADR comparison table)
11CHF drugs — mortality table, Digoxin, Digitalis toxicity, Spironolactone
12Antiarrhythmic drugs (Vaughan Williams), Antianginal (GTN, CCBs, MI management)
13Antihypertensives classification, Hypertensive emergency, Diuretics, Furosemide
14Iron preparations (oral/parenteral), Iron poisoning stages + deferoxamine
15Anticoagulants (UFH vs LMWH), Warfarin, Fibrinolytics (SK vs tPA), Antiplatelets
15High-yield tables: DOCs, drug comparisons, ADR mnemonics, FDCs, pregnancy categories
Key features of the document:
  • Color-coded headers (navy blue section banners) for fast navigation
  • All content in compact tables for rapid scanning
  • Red "KEY REMEMBER" callouts for exam traps
  • ADR mnemonics (ABCDE for atropine, HGULA for thiazides, TPFC for amiodarone)
  • DOC quick-reference table covering 20 clinical scenarios

Keep all the information intact and compress it as much less pages possi le for quick revision for exam

Running Command

python3 -c " import pdfplumber with pdfplumber.open('/home/daytona/workspace/att…

Keep all the information intact and compress it as much less pages possible for quick revision for exam

Running Command

python3 -c " import os # Check what we have files = os.listdir('/home/daytona/wo…

Running Command

python3 -c " with open('/home/daytona/workspace/pharma_cleaned.txt') as f: t…

Running Command

python3 -c " with open('/home/daytona/workspace/pharma_cleaned.txt') as f: t…

Running Command

python3 -c " with open('/home/daytona/workspace/pharma_cleaned.txt') as f: t…

Running Command

python3 -c " with open('/home/daytona/workspace/pharma_cleaned.txt') as f: t…

Running Command

python3 -c " with open('/home/daytona/workspace/pharma_cleaned.txt') as f: t…

Running Command

python3 -c " with open('/home/daytona/workspace/pharma_cleaned.txt') as f: t…

Running Command

python3 -c " with open('/home/daytona/workspace/pharma_cleaned.txt') as f: t…

Running Command

python3 -c " with open('/home/daytona/workspace/pharma_cleaned.txt') as f: t…

Running Command

python3 -c " with open('/home/daytona/workspace/pharma_cleaned.txt') as f: t…

Make it fast

Running Command

ls /home/daytona/workspace/*.pdf /home/daytona/workspace/pharma_cleaned.txt 2>/d…

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