This page contains the NCERT solutions for class 11 Informatics Practices.
NCERT solutions for the following chapters are available for class 11 Informatics Practices. The solutions for NCERT class 11 Informatics Practices are provided in detail and can be viewed by clicking on the links provided. This page gives an overview of the lessons.
Book Overview
1. Computer System: In this chapter, the students will learn
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Introduction to Computer System.
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Evolution of Computer.
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Computer Memory
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Software
2. Emerging Trends: In this chapter, the students will learn
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Introduction to Emerging Trends
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Artificial Intelligence (AI)
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Big Data
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Internet of Things (IoT)
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Cloud Computing
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Grid Computing
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Blockchains
3. Brief Overview of Python: In this chapter, the students will learn
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Introduction to Python
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Python Keywords
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Identifiers
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Variables
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Data Types
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Operators
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Expressions
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Input and Output
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Debugging
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Functions
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if..else Statements
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for Loop
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Nested Loops
4. Working with Lists and Dictionaries: In this chapter, the students will learn
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Introduction to List
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List Operations
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Traversing a List
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Lit Methods and Built-in Functions
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List Manipulation
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Introduction to dictionaries
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Traversing a Dictionary
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Dictionary Methods and Built-in Functions
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Manipulating Dictionaries
5. Understanding Data: In this chapter, the students will learn
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Introduction to Data
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Data Collection
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Data Storage
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Data Processing
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Statistical Techniques for Data Processing
6. Introduction to NumPy: In this chapter, the students will learn
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Introduction
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Array
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NumPy Array
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Indexing and Slicing
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Operations on Arrays
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Concatenating Arrays
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Reshaping Arrays
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Splitting Arrays
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Statistical Operations on Arrays
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Loading Arrays from Files
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Saving NumPy Arrays in Files on Disk
7. Database Concepts In this chapter, the students will learn
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Introduction
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File System
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Database Management System
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Relational Data Model
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Keys in a Relational Database
8. Introduction to Structured Query Language (SQL): In this chapter, the students will learn
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Introduction
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Structured Query Language (SQL)
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Data Types and Constraints in MySQL
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SQL for Data Definition
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SQL for Data Manipulation
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SQL for Data Query
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Data Updation and Deletion
