PCI Course Code BP101T5 Syllabus Units • B.Pharm 1st Sem

BP101T – Basics of Python Programming for Pharmaceutical Sciences

The core computational syllabus for B.Pharm students under PCI guidelines. Master Python fundamentals, laboratory data manipulation, posology rules, and pharmacokinetics.

Unit IActive & Complete (5 Detailed Modules)

Introduction to Python & Basic Concepts

Topics & Submodules:
1. History & Computer Terminology2. Systematic Python Installation (Step-by-Step)3. Python IDEs (VS Code, Jupyter, PyCharm)4. Advantages of IDEs vs Text Editors5. Variables, Data Types & Dosage Solvers
Start Unit 1 Notes
Unit IISyllabus Ready

Data Manipulation: NumPy & Pandas

Multidimensional arrays in NumPy for dosage matrices, batch calculations, Pandas DataFrames for clinical formulations, and statistical quality control limits.

Topics & Submodules:
1. NumPy Array Creation & Indexing2. Matrix Math for Pharmaceutical Formulations3. Pandas DataFrames for Batch Analytics4. Statistical QC & Assay Limits
Unit IIISyllabus Ready

Data Visualization & Pharmacokinetics

Graphing drug plasma concentration vs. time curves (Cp vs t), calculating Area Under the Curve (AUC), elimination half-life, and dissolution profile comparison.

Topics & Submodules:
1. Matplotlib Basics & Pharma Graphing2. Concentration-Time (Cp vs t) Curve Plotting3. One-Compartment PK Model Visualization4. Dissolution Profile Comparison (f1 & f2)
Unit IVSyllabus Ready

Functions, Modules & Pharma Algorithms

Modular programming in Python, writing reusable posology functions, bioequivalence calculations, and importing custom pharmaceutical libraries.

Topics & Submodules:
1. User-defined Functions & Scope2. Lambda Expressions & Higher-Order Functions3. Custom Pharmaceutical Posology Modules4. Error Handling & Exception Management
Unit VSyllabus Ready

File Handling & Database Integration

Reading and writing CSV/Excel clinical trial files, logging stability data, and connecting Python with SQLite databases for pharmaceutical inventory.

Topics & Submodules:
1. Reading and Writing CSV/Excel Data2. Batch Logging & File Management3. SQLite Database Basics for Pharmacy4. End-to-End Pharmacy Management Project