BP101T
Basics of Python Programming
for Pharmaceutical Sciences
B.Pharm • Theory • 30 Hours
01
UNIT I
Introduction to Python Programming • 6 Hours
⌄
Introduction to Python programming
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Python Variables & Data Types
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Basic string operations manipulation techniques & libraries
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02
UNIT II
Control Structures & Functions • 6 Hours
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Control Structures & Functions
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03
UNIT III
Data Structures & File Handling • 6 Hours
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Lists, Tuples & Dictionaries
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Indexing & Slicing
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List & Dictionary Operations
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NumPy Arrays
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CSV File Reading & Writing
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Healthcare Dataset Handling
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Pharmaceutical Dataset Manipulation
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04
UNIT IV
Data Handling with Pandas • 6 Hours
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Introduction to Pandas
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Series & DataFrame
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Reading CSV & Excel Files
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PK Study & ADR Datasets
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Dataset Inspection & Summary
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Data Cleaning & Missing Values
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Filtering & Data Selection
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Grouping & Aggregation
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05
UNIT V
Data Visualization with Matplotlib • 6 Hours
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Introduction to Matplotlib
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Line Plots
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Histograms
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Scatter Plots
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Box Plots
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Plot Labels, Titles & Legends
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Pharmaceutical Data Visualization
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Scientific Interpretation of Plots
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Recommended References
Preferably Latest Editions
01
Weiss, C.J. (2017)
Scientific Computing for Chemists with Python.
🔗 View Online Resource
02
Perkovic, L. (2015)
Introduction to Computing Using Python:
An Application Development Focus.
2nd ed. Hoboken: Wiley.
03
Sweigart, A. (2025)
Automate the Boring Stuff with Python.
3rd ed.
🔗 Read Online
04
W3Schools
Python Tutorial.
🔗 Python Tutorial
05
Datasets for Education & Research
Healthcare, pharmaceutical and clinical research
datasets from reliable public sources.
Always use healthcare and research data responsibly.