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Basics of Python Programming for Pharmaceutical Sciences (Theory) (BP101T): Unit 1 - Chapter 7: Standard and Third-Party Libraries
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Unit Topic: Introduction to Python programming
Chapter Module: Chapter 7: Standard and Third-Party Libraries
Course Track: B.Pharm New Syllabus (PCI CBCS)
Semester/Year: Semester 1
Subject Code: BP101T
Total Content: 4 Pages
Author / Board: Pharmacist365 Academic Council

Basics of Python Programming for Pharmaceutical Sciences (Theory) (BP101T): Unit 1 - Chapter 7: Standard and Third-Party Libraries

Introduction to Python programming


Unit Syllabus & Learning Outcomes

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Subject Units & Chapter Modules
View Full Subject Curriculum →
Unit 1 Introduction to Python programming
7 Chapters / Topics
Chapter 1: Computers, Programs and Python Chapter 1: Computers, Programs and Python
Chapter 2: Installing Python and an IDE Chapter 2: Installing Python and an IDE
Chapter 3: Python Basics, Variables and Data Types Chapter 3: Python Basics, Variables and Data Types
Chapter 4: Operators and Expressions Chapter 4: Operators and Expressions
Chapter 5: Input and Output Operations Chapter 5: Input and Output Operations
Chapter 6: Basic String Operations Chapter 6: Basic String Operations
Chapter 7: Standard and Third-Party Libraries Chapter 7: Standard and Third-Party Libraries Current Note
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Unit 2 Control Structures & Functions
5 Chapters / Topics
Chapter 1: Conditional Statements Chapter 1: Conditional Statements
Chapter 2: Loops Chapter 2: Loops
Chapter 3: break and continue Chapter 3: break and continue
Chapter 4: Functions Chapter 4: Functions
Chapter 5: Modular Programs for Pharmaceutical Applications Chapter 5: Modular Programs for Pharmaceutical Applications
Unit 3 Data Structures & File Handling
8 Chapters / Topics
Chapter 1: Lists Chapter 1: Lists
Chapter 2: Tuples Chapter 2: Tuples
Chapter 3: Dictionaries Chapter 3: Dictionaries
Chapter 4: String Manipulation Techniques Chapter 4: String Manipulation Techniques
Chapter 5: Introduction to NumPy Chapter 5: Introduction to NumPy
Chapter 6: Reading and Writing CSV Files Chapter 6: Reading and Writing CSV Files
Chapter 7: Understanding Structured Healthcare Datasets Chapter 7: Understanding Structured Healthcare Datasets
Chapter 8: Importing andWorking with Small Pharmaceutical Datasets Chapter 8: Importing andWorking with Small Pharmaceutical Datasets
Unit 4 Data Handling with Pandas
7 Chapters / Topics
Chapter 1: Introduction to Pandas Chapter 1: Introduction to Pandas
Chapter 2: Series and DataFrame Chapter 2: Series and DataFrame
Chapter 3: Reading CSV and Excel Files Chapter 3: Reading CSV and Excel Files
Chapter 4: Inspecting Datasets Chapter 4: Inspecting Datasets
Chapter 5: Data Cleaning and Handling Missing Values Chapter 5: Data Cleaning and Handling Missing Values
Chapter 6: Filtering and Selecting Data Chapter 6: Filtering and Selecting Data
Chapter 7: Grouping and Aggregation Chapter 7: Grouping and Aggregation
Unit 5 Data Visualization with Matplotlib
5 Chapters / Topics
Chapter 1: Introduction to Matplotlib Chapter 1: Introduction to Matplotlib
Chapter 2: Line Plots, Histograms, Scatter Plots and Box Plots Chapter 2: Line Plots, Histograms, Scatter Plots and Box Plots
Chapter 3: Labels, Titles, Legends and Styles Chapter 3: Labels, Titles, Legends and Styles
Chapter 4: Visualizing Pharmaceutical Datasets Chapter 4: Visualizing Pharmaceutical Datasets
Chapter 5: Scientific Interpretation of Plots Chapter 5: Scientific Interpretation of Plots