7th day revision questions from this pdf page no 1 to 59 from the printed page. One question at a time and also give explanation to the answers where it must require.
python3 << 'EOF' import pdfplumber pdf_path = "/tmp/workspace/attachments/83a44beb-0989-4484-bac1-98979078d61c/medicine (1).pdf" with pdfplumber.open(pdf_path) as pdf: print(f"Total PDF pages: {len(pdf.pages)}") # Extract first few pages to understand structure for i in range(min(5, len(pdf.pages))): print(f"\n===== PAGE {i+1} =====") text = pdf.pages[i].extract_text() if text: print(text[:2000]) else: print("[No text extracted]") EOF
python3 << 'EOF' import pdfplumber pdf_path = "/tmp/workspace/attachments/83a44beb-0989-4484-bac1-98979078d61c/medicine (1).pdf" # The printed page numbers start from page 1 (which seems to be around PDF page 6 based on contents page showing page 1 = Basics of Pituitary Gland) # Let's find the actual PDF page that corresponds to printed page 1 # Contents shows: Basics of Pituitary Gland = printed page 1 # Let's check PDF pages 5-10 to find printed page 1 with pdfplumber.open(pdf_path) as pdf: # Let's extract text from PDF pages 5 to 15 to find where printed page 1 starts for i in range(4, 15): print(f"\n===== PDF PAGE {i+1} =====") text = pdf.pages[i].extract_text() if text: print(text[:500]) else: print("[No text]") EOF
python3 << 'EOF' import pdfplumber pdf_path = "/tmp/workspace/attachments/83a44beb-0989-4484-bac1-98979078d61c/medicine (1).pdf" # PDF page 7 = printed page 1 (Basics of Pituitary Gland) # So: PDF page = printed page + 6 # Printed page 59 = PDF page 65 # Let's extract all text from printed pages 1-59 (PDF pages 7-65) all_text = {} with pdfplumber.open(pdf_path) as pdf: for pdf_page_idx in range(6, 65): # PDF pages 7 to 65 (0-indexed: 6 to 64) page = pdf.pages[pdf_page_idx] text = page.extract_text() printed_page = pdf_page_idx - 5 # printed page number all_text[printed_page] = text if text else "" # Save to file for reference with open("/tmp/workspace/medicine_pages_1_59.txt", "w") as f: for pg, txt in all_text.items(): f.write(f"\n{'='*60}\nPRINTED PAGE {pg}\n{'='*60}\n") f.write(txt) print("Extraction complete!") print(f"Pages extracted: {len(all_text)}") # Show what topics are covered for pg in [1, 10, 20, 30, 40, 50, 59]: print(f"\nPage {pg} preview:") print(all_text.get(pg, "")[:200]) EOF
python3 << 'EOF' # Read the full extracted text to understand all topics with open("/tmp/workspace/medicine_pages_1_59.txt", "r") as f: content = f.read() print(f"Total characters: {len(content)}") print("\nFirst 3000 chars:") print(content[:3000]) EOF
A
| Part | Origin | Direction |
|---|---|---|
| Anterior pituitary (Adenohypophysis) | Oral ectoderm - Rathke's pouch | Upgrowth from roof of mouth |
| Posterior pituitary (Neurohypophysis) | Neuroectoderm | Downgrowth from floor of 3rd ventricle |
C
| Cell Type | Hormone | % of Gland | Staining |
|---|---|---|---|
| Somatotrophs | GH (191 a.a.) | > 50% | Acidophilic |
| Lactotrophs | Prolactin (199 a.a.) | > 15% | Acidophilic |
| Gonadotrophs | FSH, LH | 10% | Basophilic |
| Corticotrophs | ACTH, MSH | 10% | Basophilic |
| Thyrotrophs | TSH | < 5% | Basophilic |
Please ask me questions too, not just mcqs