About DrxCoder
Dedicated to bridging the gap between pharmaceutical education and modern computational technology for B.Pharm, M.Pharm, and Pharm.D students.
Our Purpose & Academic Background
With the introduction of the latest Pharmacy Council of India (PCI) curriculum and the National Education Policy (NEP 2020) guidelines, computer programming and data analytics have become essential skills for pharmaceutical professionals.
Traditional programming tutorials often focus on general software development or commercial business systems. DrxCoder was built specifically to solve pharmaceutical problems: teaching Python through real dosage calculations (Young's rule, Dilling's rule), pharmacokinetic curve analysis (Cp vs t), and laboratory quality control metrics.
🎯 Target Audience
B.Pharm, Pharm.D, and pharmaceutical science students seeking clear, syllabus-accurate notes and solved programming practicals for BP101T.
📚 Editorial Standards
Every code example, mathematical formula, and syllabus unit is verified against official PCI documents and validated with real Python interpreters.
Current Focus: BP101T Unit 1
Our current fully active course is BP101T Unit 1 (Introduction to Python Programming), featuring comprehensive tutorials on Python setup, IDLE, IDEs, variables, data types, type casting, and interactive dosage solvers.
Upcoming units (NumPy, Pandas, Matplotlib, and Pharmacokinetics) are currently under development and will be released in alignment with the academic semester calendar.