Basics of Python Programming for Pharmacy Students
Science And Technology

Basics of Python Programming for Pharmacy Students

This Summer School course introduces Pharmacy students to the fundamentals of Python programming and its applications in pharmaceutical sciences. The course is designed for beginners with no prior coding experience and focuses on developing computational skills useful for data analysis, pharmaceutical research, drug development, healthcare informatics, and scientific problem-solving. Through hands-on exercises and practical examples, students will learn how Python can be utilized to enhance efficiency in academic, research, and industrial pharmacy settings.
Course ModeOnline
Duration1 Week
Starts03 Aug 2026
Ends08 Aug 2026
Course Fee
₹1,000 /-
Registration Closed
About The Course

Overview

The pharmaceutical sector is increasingly adopting digital technologies, artificial intelligence, bioinformatics, and data analytics. Python has emerged as one of the most popular programming languages due to its simplicity, versatility, and extensive applications in scientific computing.

This Summer School course aims to equip Pharmacy students with basic programming skills and introduce them to computational approaches used in modern pharmaceutical sciences. Students will learn Python syntax, data structures, file handling, data visualization, and introductory pharmaceutical data analysis. The course emphasizes practical learning through exercises and mini-projects relevant to pharmacy and healthcare domains.

By the end of the course, participants will be able to write simple Python programs, analyze pharmaceutical datasets, visualize scientific data, and appreciate the role of programming in research, industry, and healthcare innovation.

Learning Goals

Course Outcomes

Upon successful completion of the course, students will be able to:

  1. Understand the basic concepts of programming and Python syntax.
  2. Develop simple Python programs using variables, operators, loops, and functions.
  3. Utilize Python data structures for organizing and managing pharmaceutical information.
  4. Perform file handling operations for experimental and research data.
  5. Analyze and manipulate datasets using NumPy and Pandas libraries.
  6. Create meaningful visualizations for pharmaceutical and healthcare data.
  7. Apply basic programming skills to solve pharmacy-related problems.
  8. Recognize the role of computational tools in pharmaceutical research, industry, and healthcare.
Curriculum

Course / Modules

Course Modules

Module 1: Introduction to Python Programming and Pharmacy Applications

  • Overview of programming concepts
  • Importance of Python in pharmaceutical sciences
  • Installation and setup of Python environment
  • Python syntax, variables, and data types
  • Input and output operations

Module 2: Decision Making and Looping Constructs

  • Arithmetic, relational, and logical operators
  • Conditional statements (if, elif, else)
  • Looping structures (for and while loops)
  • Control statements (break, continue, pass)
  • Problem-solving exercises

Module 3: Python Data Structures

  • Lists and list operations
  • Tuples and sets
  • Dictionaries and their applications
  • String manipulation
  • Pharmaceutical data organization using data structures

Module 4: Functions and File Handling

  • Creating and using functions
  • Function arguments and return values
  • Modular programming concepts
  • Reading and writing files
  • Handling CSV files for research data management

Module 5: Data Analysis Using NumPy and Pandas

  • Introduction to NumPy arrays
  • Data manipulation using Pandas DataFrames
  • Importing and cleaning datasets
  • Basic statistical analysis
  • Applications in pharmaceutical and healthcare data

Module 6: Data Visualization and Pharmacy Case Studies

  • Introduction to Matplotlib
  • Creating graphs, charts, and plots
  • Visualization of pharmaceutical experimental data
  • Python applications in drug discovery, pharmacovigilance, and healthcare analytics
  • Mini-project and presentation of findings
Learn From Experts

Our Trainers

Dr. Khushboo Pachori
Dr. Khushboo Pachori
Machine Learning || Artificial Intelligence || Deep Learning || Wireless Communication || Signal Processing completed my second Doctorate in field ...
Mr. Atesh Kumar
Mr. Atesh Kumar
I am an experienced Computer Science professional with a strong academic and industry background. Over the years, I have developed and delivered techn...
Dr. Nikita Shivhare
Dr. Nikita Shivhare
Dr. Nikita Shivhare is an Associate Professor at LNCT Bhopal with over 10+ years of experience in academia, research, and industry. She holds a Ph.D. ...
Mr. Akash Mishra
Mr. Akash Mishra
Akash Mishra is a dedicated academic professional at Sage University, Bhopal, actively contributing to the institution’s vision of excellence in...
Dr. Sayan Dutta Gupta
Dr. Sayan Dutta Gupta
Dr. Sayan founded Dr. Sayan’s Drug Discovery Solutions (DSDDS) in January 2024. Dr. Sayan, an accomplished drug discovery scientist, establis...
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Frequently Asked Questions

Eligibility: B.Pharm, Pharm.D, M.Pharm students and research scholars
Mode: Online
Prerequisite: No prior programming knowledge required.