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Python for Pharmaceutical Sciences
notes

BP101T

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Complete unit or chapter notes PDFs

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Unit 2

Control Flow and Functions

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Unit 3

Data Structures and Files

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Unit 4

Data Handling with Pandas

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Unit 5

Matplotlib Visualization

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Video lessons

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Unit 1Introduction to Python programming4 videos

Introduction to Python: uses and installation | B Pharm 1st sem 2026

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Python variables, data types and IDEs | B Pharm 1st sem 2026

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Python operators, type casting and strings | B Pharm 1st sem 2026

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Python libraries, packages and pip | B Pharm 1st sem 2026

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Unit 2Control Structures & FunctionsComing soon

Videos for this unit will be added when available. Explore the FirstHope Pharmacy channel for more lessons.

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Unit 3Data Structures & File HandlingComing soon

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Unit 4Data Handling with PandasComing soon

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Unit 5Data Visualization with MatplotlibComing soon

Videos for this unit will be added when available. Explore the FirstHope Pharmacy channel for more lessons.

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PYQ & Important Questions

Prepare for Python for Pharmaceutical Sciences.

Previous Year Questions

PYQs for this subject will be added later.

Important Questions

Original syllabus-based practice questions for revision.

  1. How do variables, data types and operators work in a Python programme?
  2. Compare conditional statements and loops, using a simple pharmacy inventory example.
  3. Explain how lists, dictionaries and file handling support structured pharmaceutical data.
  4. How can a Pandas DataFrame identify missing values and summarise a medicine-stock dataset?
  5. Choose suitable Matplotlib charts for categorical counts and trends over time, and justify your choices.
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