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B.Pharm New Syllabus (PCI CBCS) Semester 1 BP101T

Human Anatomy and Physiology I (Theory)

Complete PCI Syllabus, handwritten lecture notes, chapter summaries, unit question banks, and previous year exam questions for Human Anatomy and Physiology I (Theory) (BP101T).

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32 Units Configured
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Subject Units & Study Notes

Customized Curriculum Breakdown
Unit 1

Introduction to Python programming

7 Chapters / Topics
Chapter 1: Computers, Programs and Python
Chapter 1: Computers, Programs and Python Chapter 1
Chapter 1: Computers, Programs and Python
2 Pages 5 Reads Copy Allowed
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Chapter 2: Installing Python and an IDE
Chapter 2: Installing Python and an IDE Chapter 2
Chapter 2: Installing Python and an IDE
3 Pages 9 Reads Copy Allowed
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Chapter 3: Python Basics, Variables and Data Types
Chapter 3: Python Basics, Variables and Data Types Chapter 3
Chapter 3: Python Basics, Variables and Data Types
4 Pages 10 Reads Copy Allowed
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Chapter 4: Operators and Expressions
Chapter 4: Operators and Expressions Chapter 4
Chapter 4: Operators and Expressions
3 Pages 6 Reads Copy Allowed
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Chapter 5: Input and Output Operations
Chapter 5: Input and Output Operations Chapter 5
Chapter 5: Input and Output Operations
3 Pages 6 Reads Copy Allowed
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Chapter 6: Basic String Operations
Chapter 6: Basic String Operations Chapter 6
Chapter 6: Basic String Operations
4 Pages 6 Reads Copy Allowed
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Chapter 7: Standard and Third-Party Libraries
Chapter 7: Standard and Third-Party Libraries Chapter 7
Chapter 7: Standard and Third-Party Libraries
4 Pages 64 Reads Copy Allowed
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Unit 2

Control Structures & Functions

5 Chapters / Topics
Chapter 1: Conditional Statements
Chapter 1: Conditional Statements Chapter 1
Chapter 1: Conditional Statements
4 Pages 7 Reads Copy Allowed
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Chapter 2: Loops
Chapter 2: Loops Chapter 2
Chapter 2: Loops
3 Pages 4 Reads Copy Allowed
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Chapter 3: break and continue
Chapter 3: break and continue Chapter 3
Chapter 3: break and continue
3 Pages Copy Allowed
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Chapter 4: Functions
Chapter 4: Functions Chapter 4
Chapter 4: Functions
4 Pages Copy Allowed
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Chapter 5: Modular Programs for Pharmaceutical Applications
Chapter 5: Modular Programs for Pharmaceutical Applications Chapter 5
Chapter 5: Modular Programs for Pharmaceutical Applications
4 Pages Copy Allowed
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Unit 3

Data Structures & File Handling

8 Chapters / Topics
Chapter 1: Lists
Chapter 1: Lists Chapter 1
Chapter 1: Lists
4 Pages Copy Allowed
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Chapter 2: Tuples
Chapter 2: Tuples Chapter 2
Chapter 2: Tuples
3 Pages Copy Allowed
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Chapter 3: Dictionaries
Chapter 3: Dictionaries Chapter 3
Chapter 3: Dictionaries
3 Pages Copy Allowed
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Chapter 4: String Manipulation Techniques
Chapter 4: String Manipulation Techniques Chapter 4
Chapter 4: String Manipulation Techniques
3 Pages Copy Allowed
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Chapter 5: Introduction to NumPy
Chapter 5: Introduction to NumPy Chapter 5
Chapter 5: Introduction to NumPy
4 Pages Copy Allowed
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Chapter 6: Reading and Writing CSV Files
Chapter 6: Reading and Writing CSV Files Chapter 6
Chapter 6: Reading and Writing CSV Files
4 Pages Copy Allowed
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Chapter 7: Understanding Structured Healthcare Datasets
Chapter 7: Understanding Structured Healthcare Datasets Chapter 7
Chapter 7: Understanding Structured Healthcare Datasets
2 Pages Copy Allowed
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Chapter 8: Importing andWorking with Small Pharmaceutical Datasets
Chapter 8: Importing andWorking with Small Pharmaceutical Datasets Chapter 8
Chapter 8: Importing andWorking with Small Pharmaceutical Datasets
3 Pages Copy Allowed
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Unit 4

Data Handling with Pandas

7 Chapters / Topics
Chapter 1: Introduction to Pandas
Chapter 1: Introduction to Pandas Chapter 1
Chapter 1: Introduction to Pandas
2 Pages Copy Allowed
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Chapter 2: Series and DataFrame
Chapter 2: Series and DataFrame Chapter 2
Chapter 2: Series and DataFrame
4 Pages Copy Allowed
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Chapter 3: Reading CSV and Excel Files
Chapter 3: Reading CSV and Excel Files Chapter 3
Chapter 3: Reading CSV and Excel Files
4 Pages 1 Reads Copy Allowed
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Chapter 4: Inspecting Datasets
Chapter 4: Inspecting Datasets Chapter 4
Chapter 4: Inspecting Datasets
3 Pages Copy Allowed
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Chapter 5: Data Cleaning and Handling Missing Values
Chapter 5: Data Cleaning and Handling Missing Values Chapter 5
Chapter 5: Data Cleaning and Handling Missing Values
4 Pages Copy Allowed
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Chapter 6: Filtering and Selecting Data
Chapter 6: Filtering and Selecting Data Chapter 6
Chapter 6: Filtering and Selecting Data
4 Pages Copy Allowed
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Chapter 7: Grouping and Aggregation
Chapter 7: Grouping and Aggregation Chapter 7
Chapter 7: Grouping and Aggregation
4 Pages Copy Allowed
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Unit 5

Data Visualization with Matplotlib

5 Chapters / Topics
Chapter 1: Introduction to Matplotlib
Chapter 1: Introduction to Matplotlib Chapter 1
Chapter 1: Introduction to Matplotlib
4 Pages 1 Reads Copy Allowed
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Chapter 2: Line Plots, Histograms, Scatter Plots and Box Plots
Chapter 2: Line Plots, Histograms, Scatter Plots and Box Plots Chapter 2
Chapter 2: Line Plots, Histograms, Scatter Plots and Box Plots
4 Pages Copy Allowed
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Chapter 3: Labels, Titles, Legends and Styles
Chapter 3: Labels, Titles, Legends and Styles Chapter 3
Chapter 3: Labels, Titles, Legends and Styles
3 Pages Copy Allowed
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Chapter 4: Visualizing Pharmaceutical Datasets
Chapter 4: Visualizing Pharmaceutical Datasets Chapter 4
Chapter 4: Visualizing Pharmaceutical Datasets
4 Pages Copy Allowed
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Chapter 5: Scientific Interpretation of Plots
Chapter 5: Scientific Interpretation of Plots Chapter 5
Chapter 5: Scientific Interpretation of Plots
3 Pages Copy Allowed
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