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Syllabus
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KVS PGT CS Syllabus 2022-23
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1. Computer Systems and Organisation
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1 - Introduction To Number System Decimal To Binary Conversion
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2 - Number System Class - 1 (Weighted And Unweighted Code, Binary Tricks)
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3 - Number System Class (Conversion And BCD Code)
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4 - Excess -3 Code and Complements of code
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5 - Number System Class 3 (Missing Base and Terms, Gray Code)
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6 - Find Missing Terms
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7 - Negative Number Representation
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7.1 - Floating Point Representation and Logic Family
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8 - DE Booth Algo and Logic Gates
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9 - DE - NAND, NOR, X OR, X NOR
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10 - DE - XOR, XNOR Practice
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11 - DE Gate Conversation
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12 - DE Boolean Algebra Part 1
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13 - DE Digital Electronics Simplification of Boolean Expression
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14 - DE Canonical Form of Boolean Expression
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15 - DE Dual, Self Dual and Complement of a Boolean Expression
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16 - DE K - MAP
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17 - Implicants in K-Map and Logic Families
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2. Introduction to Computer System
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1 - Introduction to Computer
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2 - ENIAC, EDVAC, UNIVAC
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FOC PDF - 1
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FOC PDF - 2, 3
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FOC PDF - 4
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FOC PDF - 5
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FOC PDF - 6
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FOC PDF - 7
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FOC PDF - 8
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FOC PDF - 9
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FOC PDF - 10
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3. Society, Law and Ethics
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3.1 - Digital Footprints, Netiquettes, IPR
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3.1 - Digital Footprints, net etiquettes, IPR Notes
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3.2 - FOSS, CC, GPL
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3.2 - Infringement & Software Licensing Notes
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3.3 - Cyber Crime, DoS, DDoS, Hackers
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3.4 - Phishing, Pharming, Sniffing
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3.4 - Phishing, Pharming, Sniffing, Eavesdropping, Bots etc Notes
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3.5 - Active and Passive Cyber Attacks, Ransomeware
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3.5 - Types of Cyber Attacks Notes
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3.6 - Cyber Security (Malware and Virus)
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3.7 - Cyber Security, Worms, Trojan Horse, Spam etc.
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3.8 - List of Virus, Antivirus, Cyber Attack, Identity Theft, Hackers, Crackers etc
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3.8 - Malware, Viruses, Trojans, Adware Notes
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3.6-3.8 - Malware - Virus, Worm, Trojan REVISION
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3.9 - Cyber Safety, Cookies
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3.10 - Difference Between Cyber Bullying, Cyber Stalking and Cyber Trolls, E-Waste Management
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3.11 - IT Act 2000
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Vol 3 - Socity, Law and Ethics Complete Notes
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4. Emerging Trends
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4.1 - AI and Machine Learning
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4.2 - ML and NLP
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4.3 - Immersive Experience, Augmented and Virtual Reality
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4.4 - Robotics, Big Data, IoT, Smart Cities
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4.5 - Introduction to Cloud Computing
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4.6 - Grid and Utility Computing
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4.7 - Block Chain Technology
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4.8 - What is Blockchain and How It Works
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1 - AI, ML, NLP
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2 - Immersive Experience
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3 - Big data, IoT, Sensors, Smart Cities
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4 - Cloud Computing and Cloud Services
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5 - Grid Computing, Block chain technology
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6 - Emerging Trends Assignments
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Vol 3 - Emerging Trends
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5. Societal Impacts
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1 - Societal Impacts Notes - 1
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Chapter 5 All Topics Cover in Chapter 3
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6. Computer Networks
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1 - Introduction And Type Of Network
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2 - WWW, ISP, URL, DNS Tec.
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3 - Server And Topology
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4 - Network Model
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5 - OSI Model Layers
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6 - Application And Presentation Layer Protocol
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7 - Protocols and MAC Address
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8 - Network Device (Repeater, Hub, Bridge, Switch, Router)
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9 - Modem, AM, FM, PM
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10 - RJ-11, RJ-45, Twisted Pair And Coaxial Cable
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11 - Fiber Optics, Unguided Media (Radio Wave, Microwave, Infrared)
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12 - Hamming Weight, Hamming Distance, Hamming Rate
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13 - Error Detection Techniques
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14 - CRC, Bit Rate, Baud Rate
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15 - Bit Rate, Baud Rate Questions, Nyquist And Shannon Theorem
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16 - IP4, Range, Host ID, Network ID
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17 - Subnet Mask, CIDR
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18 - Subnet, Broadcast, Host ID Questions
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19 - What is IPv6 & its Notation
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20 - Switching Technology
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21 - X.25, Frame Relay, STP, RSTP
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22 - Token Ring
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23 - Mobile Computing
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24 - Topology, Cable Layout, Placement of repeater, hub_switch, Network Type, Case Study based Question
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25 - Networks Complete Notes PDF
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7. Introduction to web services:
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1 - Web, Web 2.0 and Web 3.0
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2 - Web Designing - Browser Setting
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3 - Web Designing - Add-ons, Plug-ins and Categories of Tags
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4 - Web Designing - Heading and Font Tags
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5 - Web Designing - Formatting and Phrase Tags
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6 - Web Designing - Anchor Tag
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7 - Web Designing - List in HTML
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8 - Web Designing - Table, HR, Comments in HTML
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9 - Web Designing Form in HTML
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10 - XML - 1
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11 - XML - 2
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12 - XML - 3
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13 - XML - 4
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14 - XML - 5
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8. Database Management
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1 - Introduction to DBMS and MySql
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2 - Introduction to SQL
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3 - DBMS Tutorial Sql Queries
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4 - SQL Queries - In , Between, Or , And, Not Etc
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5 - SQL Limit, Like, Aggregate Function
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6 - SQL Group by, Having, Subquery and String Function
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7 - Numeric Function In SQL
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8 - SQL Constraints - NOT NULL, Unique, Primary Key, Default, Check
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9 - DBMS - SQL Constraints - Foreign Key, on update cascade, on delete cascade, super key
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9. Database concepts and the Structured Query Language
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10 - DBMS - Backup and Restore MySql Database, Create table from another table
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11 - SQL Join (Natural Join, Inner Join, Equi Join, Outer Join, Semi Join, Anti Join)
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12 - Null function, show user details, auto increment and view
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13 - case, date and time function in sql
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14 - ACID Properties and State of transaction, create new user, change password, grant, revoke
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15-Transaction in MySql - TCL
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16 - Practice (MCQ, T_F and Fill in the blanks) of MySql, Level of Abstraction and Schema
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17 - Database Terms and ER Diagram
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18 - Types of Arguments and MySql Python Connectivity
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10.Database Query using SQL
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All Topics of Chapter 10 already Covered in Chapter - 9
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11.Computational Thinking and Programming
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1 - Python - Introduction To Python
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2 - How To Download, Install And Setup Python
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3 - Operators In Python
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4 - Concept Of Modulus Operator In Python
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5 - Assignment, In Place And Bitwise Operators In Pytho
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6 - Comparison, Logical And Identity Operators In Python
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7 - Membership Operators, Operator Precedence And Associativity
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8 - Python Implementation, IDE and Framework
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9-Identifiers In Python, Role Of Underscore In Identifiers
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10 - Types of Variables in Python
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11-Core Data Types Assignments
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12-Numeric Data Types Assignments
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13-Bitwise Operator Assignments
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14 - Boolean and String Formatting Assignment
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15-Use Of %F,%E And %G
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16 - Use of %d, %f, %o, %x, %X,%E in Python
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17 - format function in Python
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18 - Data Types, Mutable and Immutable Types in Python
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19 - Type casting and Comments in Python
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20 - input, print and eval functions in python
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21 - Flow of Execution in Python
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22 - Concept of if, elif and else
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23 - Leap Year, Calculator and Voting Eligibility Program in Python
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24 - Telephone Bill and Grade Program in Python
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25 - Number of digits and Order of three Numbers Program in Python
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26 - Loops in Python, range() function in Python
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27 - find the factorial of a number and print the Fibonacci series in python
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28 - Pattern Printing in Python using nested loop
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29 - Pattern Printing in Python
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30 - break, continue and pass keyword in python
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31 - Prime No, while loop, sum and product of digits
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32 - Armstrong Number Program in Python
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33- Introduction to List and Its Indexing
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34 - Operation on List
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35 - Functions of List
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36 - List Slicing, Functions and Methods
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37 - List Function and Methods Part 2
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38 - Tuple in Python
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39 - Dictionary in Python
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40 - Functions and Methods of Dictionary
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41 - Python String
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42 - String Slicing in Python
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43 - String Methods
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44 - Bubble Sort in Python
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45- Insertion Sort in Python
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46 - Built in Function in Python
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47- Modules and Functions
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48- Modules in Python
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49- Modules in Python - 3
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50 - User Defined Functions
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51 - Types of Arguments
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52 - main() function, passing list in a function
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53 - Searching in Python
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54 - Python Libraries
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55 - Python Libraries
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56 - Exception Handling in Python Part - 1
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57 - Exception Handling in Python Part 2 (finally, raise and assert in Python)
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12.Computational Thinking and Programming – 2
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1 - Introduction To Data File Handling(DFH) in Python
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2 - DFH in Python - File Mode
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3 - DFH (Reading Data From File) in Python
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4 - DFH (Writing to File) in Python
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5- Reading and Writing data to and from Binary File in Python
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6 - Create a binary file (Write and read multiple data) in Python
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7 - Std File Stream and Programs in Python
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8 - tell() and seek() in file in Python
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9 - CSV File in Python
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10 - Read the contents of CSV File in Python
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11 - Write the content in CSV file in Python
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12 - Introduction To Data Structure in Python
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13 - Stack in Python
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14 - Emp, Book and Students Record in Stack in Python
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15 - Polish Notation in Stack in Python
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13.Introduction to Python
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Chapter 13 all contents are already cover in chapter 11
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14.Data Handling using Pandas
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14.1 - Introduction to Python Pandas and Data Visualization
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14.1 - Introduction to matplotlib - pdf
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14.2 - Line Chart in matplotlib
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14.2 - Line Chart in matplotlib PDF
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14.3 - Line Chart - 2
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14.3 - Line Chart in matplotlib - 2 PDF
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14.4 - Chart Axis, Ticks and Title Formatting
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14.4 - Chart Labels, Ticks and Axis Formatting PDF
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14.5 - Why use numpy in matplotlib, Bar Chart
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14.5 - Numpy function and Bar Chart
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14.6 - Bar Chart and Subplot
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14.7 - Chart from CSV File and Histogram
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14.8 - Histogram
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14.8 - Histogram Practice PDF
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14.9.1 - Introduction to Python Series - New
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14.9.2 - IP (Introduction And Installing of Pandas)
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14.9.3 - IP (Series in Pandas)
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14.9.1-3 - Introduction to Pandas Series PDF
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14.10.1 - Series data and index - New
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14.10.2 - Pandas Series (Data and Index) - Old
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14.10 - Series data and index PDF (1-2)
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14.11.1 - Access Series Elements - New
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14.11.2 - IP - Creating Series using List and Scalar
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14.11 - Access Series Elements PDF (1-2)
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14.12.1 - Series naming, head(), tail() and Attributes - New
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14.12.2 - Naming a Series and Creating Series using mathematical expression in Python Pandas
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14.2.3- Pandas Series Attributes
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14.2.4 - head() and tail() methods of Pandas Series
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14.12 - Series Naming, head, tail and Attributes PDF (1-4)
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14.13 - Weekly Test Discussion - Vector Operation on Series
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14.14 - Important Qus of Pandas Series
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14.14 - Series Operation and Sorting PDF
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14.15 - Series Sorting and Introduction to DataFrame
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14.15 - Introduction to DataFrame PDF
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14.16 - DataFrame Using Series, Sorting in DataFrame
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14.16 - DataFrame using Series and Sorting in DataFrame PDF
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14.17 - Attributes of DataFrame
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14.17 - Attributes of DataFrame PDF
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14.18 - Accessing and adding rows and columns in DataFrame
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14.18 - Access Data from DataFrame PDF
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14.19 - Add, remove row and columns, Boolean Indexing in DataFrame
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14.19 - Add remove row and columns Boolean Indexing PDF
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14.20 - Boolean Operation, min(), max(), mode(), mean(), median()
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14.20 - Binary and Stattistics Operations on DF
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14.21 - count(), sum(), head(), tail(), missing values Methods of DF
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14.21 - count(), sum(), head(), tail(), missing values Methods of DF PDF
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14.22 - quantile, std deviation, variance in DataFrame
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14.22 - Statistics and Cumulative Methods of DF
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14.23,24 - Import Export CSV and DataFrame, Combining DataFrame
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14.23 - DataFrame with CSV PDF
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14.24 - Merge and Join DataFrame PDF
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CS Books PDF
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1 - NCERT CS Class 11 Book Intro
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2 - NCERT CS Class 11 Book Chapter - 1
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3 - NCERT CS Class 11 Book Chapter - 2
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4 - NCERT CS Class 11 Book Chapter - 3
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5- NCERT CS Class 11 Book Chapter - 4
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6- NCERT CS Class 11 Book Chapter - 5
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7- NCERT CS Class 11 Book Chapter - 6
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8- NCERT CS Class 11 Book Chapter - 7
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9- NCERT CS Class 11 Book Chapter - 8
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10- NCERT CS Class 11 Book Chapter - 9
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11- NCERT CS Class 11 Book Chapter - 10
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12- NCERT CS Class 11 Book Chapter - 11
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13 - Class 11 CS Term 2 Notes
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12 CS Sumita Arora Book PDF
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IP Books PDF
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1 - NCERT IP Class 11 Book Intro
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2 - NCERT IP Class 11 Book Chapter - 1
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3 - NCERT IP Class 11 Book Chapter - 2
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5 - NCERT IP Class 11 Book Chapter - 4
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6 - NCERT IP Class 11 Book Chapter - 5
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7 - NCERT IP Class 11 Book Chapter - 6
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8 - NCERT IP Class 11 Book Chapter - 7
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9 - NCERT IP Class 11 Book Chapter - 8
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10 - Class 11 IP Term 2 Notes.pdf
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Sample Papers PDF
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1 - 12 CS CBSE PYQ
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2 - 12 IP CBSE PYQ
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Perspectives on Education and Leadership
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(a) - Understanding the Learner
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1 - Understanding the Learner PDF by Ritu Maa'm
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Class - 01 - KVS Notes and Videos - Pedagogy - Concept of growth, maturation and development
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1- Childhood and Growing Up
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2- Erik Erikson's Theory of Psychosocial Development
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3-Mnemonics of all theory of childhood and growing up
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4-Short Trick to learn Theory of Multiple Intelligence
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(b) - Understanding Teaching Learning
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1- Learning And Teaching Important Questions with Trick
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2 - What is Teaching
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3 - What is Learning, Difference Between Teaching and Learning
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(c) - Creating Conducive Learning Environment
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1 - Bloom Texonomy Easiest Way to Learn
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2 - Flander interaction analysis easiest way 16 marks sure
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(d) - School Organization and Leadership
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1 - Creating an Inclusive School MCQ
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(e) - Perspectives in Education
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1- Three Language Formula
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2-Right to Education Act 2009
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KVS PGT Pedagogy Book
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PDF Notes
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KVS PGT Pedagogy - 1
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KVS Study Guide Books-1
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KVS Education Leadership Book
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CTET Child Develop Pedagogy Book
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NCERT 11th CS New 2019
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Sumita Arora 12 CS Book PDF
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Networks Complete Notes
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IP Class 12 Sample Papers
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CS Class 12 Sample Papers
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Matplotlib 1-5
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CLASS 12 CS KVS Support Material
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12_IP_MCQ TERM-I
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12_IP-Study Material Term-I
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CS_Final_XII (2)
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IP_Final_XII
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U1-CH-1REVISIONTOUR-1
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QP IP SAMPLE PAPERS (1)
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QP XII Computer Science (1)
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KVS Support Material - Jaipur
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11 CS Sumita Arora Book PDF
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CLASS 12 CS ALL KV REGION PAPERS 2022-23
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CBSE CS term 1 2021-22
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CS term2 2021-22
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Vol 3 - Computer Network Notes Set - 1
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Vol 3 - Socity, Law and Ethics Complete
Preview - Only for KVS 2022-23 PGT CS - Recorded Batch
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