FOR B.PHARMACY & PHARMACY STUDENTS • NEP 2020 ALIGNED
Learn & Master Python for Pharmaceutical Sciences
BPharm Guru is a free platform built to guide pharmacy students — from B.Pharm to D.Pharm and beyond — through Python programming for real pharmaceutical work: dosage calculators, PK/PD data analysis, ADR reporting, and research datasets.
Right now, that journey starts with Basics of Python Programming for Pharmaceutical Sciences (BP101T), our first fully published subject — with many more Python-for-pharmacy topics on the way.
Why Python, Why Pharmacy Students Need It
Python is fast becoming a core skill in pharmaceutical sciences — from analyzing clinical trial data to automating dosage calculations and visualizing pharmacokinetic curves. Our goal is simple: help every pharmacy student learn Python with examples drawn directly from pharma, not generic coding exercises.
Pharma-Context Learning
Every code example is built around real pharmaceutical scenarios — dosage calculators, ADR datasets, PK/PD curves — not abstract programming drills.
100% Free, No Signup
Every unit, every topic — free to access, with no paywall or account required.
Written & Reviewed by a Pharm.D
Content overseen by Dr. N. Sujith Kumar, Pharm.D, with academic review before publishing.
Start Here: BP101T — Basics of Python Programming for Pharmaceutical Sciences
Our first complete subject, aligned with the PCI’s NEP 2020 B.Pharm 1st Semester syllabus. Explore each unit below:
UNIT I
Introduction to Python Programming
Installing Python & an IDE, variables, data types, operators, strings, and libraries.
UNIT II
Control Structures & Functions
Conditionals, loops, break/continue, functions, and pharma modular programs (dosage & BMI calculators).
UNIT III
Data Structures & File Handling
Lists, tuples, dictionaries, NumPy arrays, CSV files, and structured healthcare datasets.
UNIT IV
Data Handling with Pandas
Pandas Series & DataFrames, reading PK study datasets and ADR reports, cleaning and grouping data.
UNIT V
Data Visualization with Matplotlib
Line plots, histograms, scatter plots, and visualizing concentration-time curves & ADR reporting rates.
OUR VISION
A Complete Home for Python in Pharmaceutical Sciences
BP101T is just the beginning. We’re building BPharm Guru into a complete, free resource for every pharmacy student who wants to use Python in their studies and future pharmaceutical work — well beyond a single semester subject.
About This Site
BPharm Guru is being built for pharmacy students across India — starting with B.Pharmacy, the largest pharmacy student community in the country. We’re launching subject by subject, and Python Programming for Pharmaceutical Sciences (BP101T) is our flagship: a core first-semester subject under the PCI’s NEP 2020 syllabus. Read more About Us, or see our Editorial Policy for how we maintain content quality.