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C program to print multiplication table of a given number

Posted on December 17, 2023December 17, 2023 By thecodepathshala 189 Comments on C program to print multiplication table of a given number

Write a C program to input a number from user and print multiplication table of the given number using for loop. How to print multiplication table of a given number in C programming. Logic to print multiplication table of any given number in C program.

Example

Input

Input num: 5

Output

5 * 1  = 5
5 * 2  = 10
5 * 3  = 15
5 * 4  = 20
5 * 5  = 25
5 * 6  = 30
5 * 7  = 35
5 * 8  = 40
5 * 9  = 45
5 * 10 = 50
/**
 * C program to print multiplication table of a number
 */

#include <stdio.h>

int main()
{
    int i, num;

    /* Input a number to print table */
    printf("Enter number to print table: ");
    scanf("%d", &num);

    for(i=1; i<=10; i++)
    {
        printf("%d * %d = %d\n", num, i, (num*i));
    }

    return 0;
}

/*
Output :

Enter number to print table of: 5
5 * 1 = 5
5 * 2 = 10
5 * 3 = 15
5 * 4 = 20
5 * 5 = 25
5 * 6 = 30
5 * 7 = 35
5 * 8 = 40
5 * 9 = 45
5 * 10 = 50
*/
C Programming, Programming Tags:C Programming

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Comments (189) on “C program to print multiplication table of a given number”

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  4. tiffinynobles8 says:
    January 23, 2025 at 10:30 am

    CMA chair to be replaced by former Amazon boss

    *

    Government wants regulators to focus on growth

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    Finance Minister Reeves says chair needs to share her direction

    (Adds reaction from companies and lawyers in paragraphs 7-8, 14-17)

    By Paul Sandle and Kate Holton

    LONDON, Jan 22 (Reuters) – Britain forced out the chair of its antitrust regulator after he failed to prioritise its growth agenda, replacing him with a former Amazon boss, in a sign the UK’s attempt to rein in big tech could be over.

    Marcus Bokkerink was replaced at the Competition and Markets Authority late on Tuesday by Amazon’s former boss in Britain, Doug Gurr, the government said. Finance minister Rachel Reeves said she needed someone aligned with her “strategic direction”.

    “He recognised it was time for him to move on and make way for somebody who does share the mission and the strategic direction that this government are taking,” she told a Bloomberg event at the World Economic Forum’s annual meeting in Davos.

    Bokkerink’s removal came a day after Donald Trump returned to the White House, vowing to cut regulation on sectors including tech as it races to develop Artificial Intelligence.

    Some criticised the move as a shift to a lighter touch in Britain, where regulators have traditionally been unafraid to take on big companies to protect the interests of smaller firms and consumers.

    “Now is the time to file your mergers with the CMA,” said Tom Smith, competition lawyer at Geradin Partners and a former legal director at the regulator.

    “The government is sending a clear signal that it wants the CMA to go easy on dealmakers.”

    Britain’s Labour government, under pressure to reignite the economy after years of sluggish output, has said it wants regulators to “tear down the barriers hindering businesses” and focus on growth. But some have questioned whether an easing of competition rules would promote growth.

    After he was ousted, Bokkerink said on LinkedIn that markets should not be held back “by a few powerful incumbents setting the rules for everyone else”.

    The CMA’s last clash with a U.S. tech giant was over Microsoft’s $69 billion acquisition of “Call of Duty” maker Activision Blizzard in 2023, and the regulator came off worse.

    It blocked the deal but then tore up its own rule book to approve the case following a furious reaction from Microsoft bosses who lobbied the government at the highest level.

    It did not block a single deal in 2024, and allowed two of Britain’s four mobile networks to merge.

    SUPERCHARGING GROWTH

    After being singled out by Prime Minister Keir Starmer for holding back growth, the CMA said in November that it would focus on “truly problematic mergers” and rethink its approach to allow more deals to go ahead.

    An executive at a major British tech and media company said Bokkerink had been leading the growth charge.

    The person, who asked not to be named, said there was real surprise over the choice of his replacement, raising the question of how much big tech had lobbied the government.

    CMA chief executive Sarah Cardell said Bokkerink had “tirelessly championed consumers, competition and a level playing field for business”.

    Competition lawyer Ian Giles at Norton Rose Fulbright said the CMA’s mantra, echoed by government previously, had been that competition was good for growth and for business – and rules need to be enforced to support this objective.

    The move “suggests that there may be a desire to rein in the CMA’s more interventionist approach,” he said, even at the cost of reduced rule enforcement.

    Business Secretary Jonathan Reynolds said he wanted to see the CMA “supercharging the economy with pro-business decisions that will drive prosperity and growth, putting more money in people’s pockets”.

    He said Gurr, appointed on an interim basis, would bring a “wealth of experience” in the technology sector.

    The change comes as the CMA steps up its scrutiny of Big Tech through its Digital Markets Unit.

    The unit, which gained new powers this month, is tasked with ensuring that tech companies such as Amazon, Google , Meta, Apple and Microsoft, do not abuse their dominant market positions.

    Amazon, under Gurr’s leadership, was investigated by the CMA over its stake in food delivery company Deliveroo. The regulator cleared the investment in 2020.

    The CMA will imminently give its verdict on the cloud computing market, dominated by Amazon, Microsoft and to a lesser extent Google. (Reporting by Paul Sandle and Kate Holton, additional reporting by Muvija M, Editing by Kate Holton and Christina Fincher)

    Reply
  5. tiffinynobles8 says:
    January 27, 2025 at 2:07 am

    The next generation of artificial intelligence is expected to replace a human: the personal assistant you probably cannot afford to hire. 

    ‘AI agents’ capable of completing a complex series of tasks after just one command are emerging as a top tech trend for 2025, with the backing of Samsung and Google in an upcoming range of smartphones.

    Industry experts and analysts have welcomed their arrival and the convenience they could bring, saying the rapid AI evolution will spark fierce competition among device makers.

    But they also warn the use of digital assistants could have serious repercussions for app developers and while users may trust AI to book and schedule a haircut, they should carefully consider whether to rely on them to make bigger financial commitments without supervision.

    AI agents had been widely touted as the next big development in the technology, following the arrival of generative AI chatbots in late 2022. 

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    “(Chief marketing officers) should begin scenario-planning for the impacts of decreased mobile app usage,” she says. 

    Consumers are likely to see more benefits than downsides from the arrival of AI agents, UNSW AI Institute chief scientist Toby Walsh says, as the technology might finally capture what they mean when they ask a question. 

    If executed correctly, he says, AI agents could take the place of personal assistants that are typically the domain of the ultra wealthy. 

    “You and I can’t afford a personal assistant but we could have a personal agent and, just as (rich people are) able to give authority to their assistant for small things like booking a haircut, you could give a personal agent that ability,” he says.

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    Legal restrictions, like mandatory guardrails currently being considered by the federal government, could also play a role in the use of AI agents as some consumers may not realise how their data is being used by different companies. 

    “We’ll be interacting with agents without realising they’re AI, not human,” he says.

    “We should be very mindful about the terms and conditions and exactly what’s happening to our data and whether that’s a fair exchange.”

    The world’s two leading smartphone makers have made efforts to boost AI transparency, with Apple prompting users before passing queries to OpenAI’s ChatGPT and Samsung pledging to perform some tasks on device and to encrypt personal data. 

    Communication about how a consumer’s data is stored and used does need to improve, Samsung Australia mobile vice-president Eric Chou says, and its upcoming AI agent is designed to be more transparent. 

    “There are still a group of people in Australia who have concerns around AI usage and privacy and security,” he says.

    “None of that (data) will ever be used for training an AI model and none of the user behaviours will ever be passed on for any ad-selling.”

    The focus on privacy potentially delayed the rollout of Apple Intelligence until late last year, Telsyte managing director Foad Fadaghi says, but the arrival of serious AI agents from Samsung could push the market further faster. 

    “It’s likely that we will see Apple respond,” he says. 

    “Apple is lagging and while it might not cause immediate disruption to their base, it’s clearly one to watch as it has that potential.”

    AAP travelled to San Jose with the assistance of Samsung. 

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Want to clearly understand Time Complexity and Space Complexity of Queue for DSA and coding interviews? 🤔
In this video, we explain Queue Data Structure Complexity using simple examples, Big-O notation, and interview-focused concepts.

🚀 What You’ll Learn in This Video:

What is a Queue in Data Structures?

Queue Principle: FIFO (First In First Out)

Types of Queue (Simple, Circular, Priority, Deque)

Time Complexity of Queue Operations

Enqueue → O(1)

Dequeue → O(1)

Front / Peek → O(1)

Rear → O(1)

Search → O(n)

Space Complexity of Queue

Queue Implementation (Array vs Linked List)

Real-World Applications of Queue

Most Asked Queue Interview Questions

🎯 Why Watch This Video?
✔ Easy explanation of Big O Notation
✔ Important for Coding Interviews & Exams
✔ Useful for C, C++, Java, Python learners
✔ Beginner-friendly & exam-oriented

📌 Who Should Watch?

DSA Beginners

Computer Science Students

Coding Interview Aspirants

Competitive Programmers

📈 Master DSA Concepts Step-by-Step!

👍 Like | 💬 Comment | 🔔 Subscribe for more Data Structures & Algorithms content


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🔖 Hashtags:

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🔥 Time & Space Complexity of Queue | Queue Data Structure | Big-O Explained
Want to master Time Complexity and Space Complexity of Stack for DSA and coding interviews? 🤔
In this video, we explain Stack Data Structure Complexity using simple examples, Big-O notation, and interview-oriented explanations.

🚀 What You’ll Learn in This Video:

What is a Stack in Data Structures?

Stack Principle: LIFO (Last In First Out)

Time Complexity of Stack Operations

Push → O(1)

Pop → O(1)

Peek / Top → O(1)

Search → O(n)

Space Complexity of Stack

Stack Implementation (Array vs Linked List)

Real-World Applications of Stack

Common Stack Interview Questions

🎯 Why Watch This Video?
✔ Clear explanation of Big O Notation
✔ Essential for DSA Interviews & Exams
✔ Helpful for C, C++, Java, Python learners
✔ Beginner-friendly & concept-focused

📌 Who Should Watch?

DSA Beginners

Computer Science Students

Coding Interview Aspirants

Competitive Programmers

📈 Build Strong DSA Foundations – One Concept at a Time!

👍 Like | 💬 Comment | 🔔 Subscribe for more Data Structures & Algorithms videos


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🔖 Hashtags:
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🔥 Time & Space Complexity of Stack | Stack Data Structure | Big-O Explained
Linked list operations and time complexity | BigO notation #education #scaling #codinginterview
📌 Array Part-5 : Time and Space Complexity of Array | Data Structures & Algorithms

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📌 Array Part-5 : Time and Space Complexity of Array | Data Structures & Algorithms
Struggling to understand Time Complexity and Space Complexity of Linked Lists? 🤔
This video explains Linked List Data Structure Complexity in a simple, interview-focused, and beginner-friendly way using Big-O notation and real examples.

🚀 What You’ll Learn in This Video:

What is a Linked List in Data Structures?

Types of Linked List (Singly, Doubly, Circular)

Time Complexity of Linked List Operations

Accessing Elements → O(n)

Searching → O(n)

Insertion → O(1) / O(n)

Deletion → O(1) / O(n)

Space Complexity of Linked List

Linked List vs Array (Complexity Comparison)

Most Asked DSA Interview Questions on Linked List

🎯 Why Watch This Video?
✔ Clear explanation of Big O Notation
✔ Perfect for Coding Interviews & Exams
✔ Useful for C, C++, Java, Python learners
✔ Beginner to Intermediate friendly

📌 Who Should Watch?

DSA Beginners

Computer Science Students

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Competitive Programmers

📈 Master DSA Step-by-Step – Build Strong Foundations!

👍 Like | 💬 Comment | 🔔 Subscribe for more DSA & Programming videos

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🔥 Time & Space Complexity of Linked List | DSA Made Easy | Big-O Explained
📌 Array Part-4 : Time and Space Complexity of Array | Data Structures & Algorithms

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📌 Array Part-4 : Time and Space Complexity of Array | Data Structures & Algorithms
when to use SQL and When NoSQL? #shorts #codinginterview #education #scaling #tranding
Confused between SQL and NoSQL databases? 🤔
In this video, we explain SQL vs NoSQL in detail, covering differences, use cases, real-world examples, and interview questions to help you choose the right database for your application.

🚀 What You’ll Learn in This Video:

What is SQL Database?

What is NoSQL Database?

SQL vs NoSQL – Key Differences

Structure & Schema

Data Model

Scalability

Performance

Consistency vs Availability

When to Use SQL Databases

When to Use NoSQL Databases

Real-World Use Cases & Examples

SQL vs NoSQL for Interviews & System Design

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✔ Structured data
✔ ACID transactions
✔ Banking & financial systems
✔ Complex queries & joins

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✔ Large-scale distributed systems
✔ Flexible / unstructured data
✔ High scalability & performance
✔ Real-time apps (Chat, Social Media, IoT)

📌 Who Should Watch?

Database & Backend Beginners

Full Stack Developers

System Design Learners

Coding Interview Aspirants

📈 Understand Databases Clearly – Choose the Right One!

👍 Like | 💬 Comment | 🔔 Subscribe for more Database & DSA Concepts

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🔥 SQL vs NoSQL | Differences | When & Where to Use? | Database Explained
📌 Array Part-3 : Time and Space Complexity of Array | Data Structures & Algorithms

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📌 Array Part-3 : Time and Space Complexity of Array | Data Structures & Algorithms
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