BP106T
Pharmaceutical Inorganic and Analytical Chemistry (Theory)
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Introduction to Python programming
Installing Python and an Integrated Development Environment (IDE) [Jupyter Notebook, PyCharm, VS Code etc.], Advantages of IDEs over text editors.
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Python variables and data types (integers, floats, strings, booleans), Type casting and basic operators (arithmetic, comparison, logical), Input and output operations.
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Basic string operations and manipulation techniques. Introduction to standard libraries and third-party libraries, installing and uninstalling libraries.
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Control Structures & Functions
Conditional statements (if, if-else, if-elif-else), nested conditions
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Loops (for loop, while loop).
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Break and continue statements.
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Defining and calling functions, passing arguments and returning values.
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Writing modular programs for simple pharmaceutical applications- dosage calculation and BMI calculation.
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Data Structures & File Handling
Lists, tuples, and dictionaries.
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Indexing and slicing lists, basic operations on lists and dictionaries, string manipulation techniques.
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Introduction to NumPy arrays, basic operations using NumPy (array creation, arithmetic operations).
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Reading and writing CSV files.
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Understanding structured healthcare datasets.
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Importing small pharmaceutical datasets and performing basic data access and manipulation tasks.
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Data Handling with Pandas
Introduction to Pandas library.
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Pandas Series and DataFrame structures.
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Reading CSV and Excel files-PK study datasets and ADR reports
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Inspecting datasets using functions such as head(), tail(), info(), and describe().
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Data cleaning techniques and handling missing values.
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Filtering and selecting data based on conditions.
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Grouping data and performing aggregation functions.
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Data Visualization with Matplotlib
Introduction to Matplotlib.
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Creating line plots, histograms, scatter plots, and box plots.
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Labeling axes, titles, and legends.
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Create plots and visualize pharmaceutical datasets - concentration-time curves for oral and IV administration, ADR reporting rates across drugs, dissolution profiles.
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Scientific interpretation of plots.
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