Python Programming
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Follow on Instagram for UpdatesPython Programming Syllabus — Unit-wise Content
The official GTU curriculum for Python Programming (subject code DI01071011) as prescribed for AI(A · Semester 1 divides the course into 5 units, covering 67 listed topics. The unit-wise breakdown below is read from the GTU syllabus document for this subject code, so you can check what the course actually covers before deciding which papers to attempt.
Download the official syllabus PDF (DI01071011)Unit 1 Introduction to Python Programming
- Introduction to Programming
- History and Features of Python
- Applications of Python in AI, Machine Learning and Data Science
- Installing Python and Python IDE, Structure of Python Program
- Keywords and Identifiers
- Variables and Data Types
- Type Casting
- Input and Output Functions (input()
- Literals and Constants
- Program Solving practice on the above concept
Unit 2 Operators and Control Flow Statements
- Arithmetic Operators
- Logical Operators
- Comparison Operators
- Assignment Operators
- Bitwise Operators
- Membership and Identity Operators
- Operator Precedence
- Concept of Indentation
- Conditional Statements (if
- Looping Statements (while loop
- for loop)
- range() function
- continue and pass statements
- Program Solving practice on the above concept
Unit 3 Data Structure in Python
- Lists: Defining Lists
- accessing values in Lists
- deleting values in Lists
- updating values in Lists
- Basic List operations
- Built in List functions Tuples: Defining Tuples
- accessing values in Tuples
- deleting values in Tuples
- updating values in Tuples
- Basic Tuple operations
- Built in Tuple functions Sets: Defining Sets
- accessing values in Sets
- deleting values in Sets
- updating values in Sets
- Basic Sets operations
- Built in Sets functions Dictionaries: Defining Dictionary
- accessing values in Dictionary
- deleting values in Dictionary
- updating values in Dictionary
- Basic Dictionary operations
- Built in Dictionary functions Program Solving practice on the above concept Program Name: Diploma Engineering Level: Diploma Branch: Artificial Intelligence (AI) and Machine Learning Subject Code : DI01071011 Subject Name : Python Programming
Unit 4 Functions and File Handling
- Built-in Functions – Type/ Data Conversion functions- int()
- math functions- abs()
- max() and String functions- len()
- isupper(), and isspace()
- rjust() File handling Functions- read()
Unit 5 Python Libraries for AI/ML
- Modules: Introduction to python module
- Writing Module
- Importing Module
- importing objects from module
- Built-in Modules- Numeric and Mathematic module Packages: Introduction to Packages
- Writing Packaging
- Matplotlib Package:- plot()
- savefig() Numpy Package:- Creating Numpy arrays
- Array attributes (shape
- Array Initialization
- indexing and Slicing
- Array Operations
- Basic Numpy math and statistic Function- np.sum()
- np.matmul() Pandas: Introduction
- creating DataFrame
- reading CSV files
- simple data analysis Program Solving practice on the above concept
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