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Class XI Information Practices Python

Enroll in our Courses Class XI Information Practices Pythonto gain hands-on experienc.

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Class XI Information Practices Python

The Class XI Information Practices (IP) Course with Python focuses on developing computational thinking, data handling skills, and programming abilities. The curriculum introduces Python programming basics, including data types, variables, operators, conditional statements, loops, and functions. Students explore data handling using libraries like Pandas and NumPy for data analysis and visualization.

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Total 4 Units ( Click For Details )

UNIT 1 : INTRODUCTION TO COMPUTER SYSTEM
1. Introduction to Computer and Computing

Evolution of computing devices, components of a computer system and their interconnections, Input/output devices.

2. Computer Memory

Units of memory, types of memory – primary and secondary, data deletion, its recovery and related security concerns.

3. Software

purpose and types – system and application software, generic and specific purpose software.

UNIT 2 : INTRODUCTION TO PYTHON
1. Python Programming, Python Interpreter - Interactive & Script Mode
  • The structure of a program, indentation, identifiers, keywords, constants, variables
  • Types of operators, precedence of operators, data types, mutable and immutable data types
  • statements, expressions, evaluation and comments, input and output statements
  • data type conversion, debugging.
2. Control Statements
  • Conditional statement (if, if-else, if-elif, nested if)
  • Looping Statement (for loop, while loop)
  • Jump Statement (break, continue)
  • Nested Loops
3. Lists: list operations
  • creating, initializing, traversing and manipulating lists
  • list methods and built-in functions.
4. Dictionary: Concept of key-value pair
  • creating, initializing, traversing, updating and deleting elements
  • Dictionary methods and built-in functions.
UNIT 3 : DATABASE CONCEPTS AND STRUCTURED QUERY LANGUAGE (MYSQL)
1. Database Concepts: Introduction To Database Concepts And Its Need
  • Database Management System.
2. Relational Data Model: Concept oF Domain, Tuple, Relation
  • candidate key, primary key, alternate key
3. Advantages oF Using Structured Query Language (SQL)
  • Data Definition Language, Data Query Language and Data Manipulation Language
4. Introduction To MySQL, Creating A Database Using MySQL, Data Types
5. Data Definition: Create Table
6. Data Query : Select, From, Where
7. Data Manipulation: Insert
UNIT 4 : INTRODUCTION TO THE EMERGING TRENDS
1. Artificial Intelligence (AI), Machine Learning, Natural Language Processing
2. Immersive experience (AR, VR), Robotics, Big data and its characteristics
3. Internet of Things (IoT), Sensors, Smart cities
4. Cloud Computing and Cloud Services (SaaS, IaaS, PaaS);
5. Grid Computing, Block chain technology.

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