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• C Programming Home
• ▼C Programming Exercises
• Basic Declarations and Expressions
• Basic Part-II
• Basic Algorithm
• Variable Type
• Input - Output
• Conditional Statements
• Do-While Loop
• Linked List
• Callback function
• Variadic function
• Inline Function
• File Handling
• Searching and Sorting
• C Programming Exercises, Practice, Solution

What is C Programming Language?

C is a general-purpose, imperative computer programming language, supporting structured programming, lexical variable scope and recursion, while a static type system prevents many unintended operations. C was originally developed by Dennis Ritchie between 1969 and 1973 at Bell Labs. It has since become one of the most widely used programming languages of all time, with C compilers from various vendors available for the majority of existing computer architectures and operating systems.

The best way we learn anything is by practice and exercise questions. We have started this section for those (beginner to intermediate) who are familiar with C programming.

Hope, these exercises help you to improve your C programming coding skills. Currently, following sections are available, we are working hard to add more exercises. Please refer to this page for important C snippets, code, and examples before starting the exercises. Happy Coding!

List of C Programming Exercises :

• Basic Declarations and Expressions [ 150 Exercises with Solution ]
• Basic Part-II [ 7 Exercises with Solution ]
• Basic Algorithm [ 75 Exercises with Solution ]
• Variable Type [ 18 Exercises with Solution ]
• Input, Output [ 10 Exercises with Solution ]
• Conditional Statement [ 26 Exercises with Solution ]
• While Loop [ 11 Exercises with Solution ]
• Do-While Loop [ 12 Exercises with Solution ]
• For Loop [ 61 Exercises with Solution ]
• Array [ 107 Exercises with Solution ]
• Structure [ 9 Exercises with Solution ]
• Pointer [ 22 Exercises with Solution ]
• Linked List [ 64 Exercises with Solution ]
• Stack [ 17 Exercises with Solution ]
• Binary Heap (Tree-Based Structure) [ 9 Exercises with Solution ]
• Queue [ 13 Exercises with Solution ]
• Hash [ 10 Exercises with Solution ]
• Tree [ 10 Exercises with Solution ]
• Graph [ 10 Exercises with Solution ]
• Numbers [ 38 Exercises with Solution ]
• Math [ 38 Exercises with Solution ]
• String [ 41 Exercises with Solution ]
• Date Time [ 10 Exercises with Solution ]
• Function [ 12 Exercises with Solution ]
• Callback Function [ 11 Exercises with Solution ]
• Variadic Function [ 8 Exercises with Solution ]
• Inline Function [ 11 Exercises with Solution ]
• Recursion [ 21 Exercises with Solution ]
• File Handling [ 19 Exercises with Solution ]
• Search and Sorting [ 31 Exercises with Solution ]
• Challenges [ 35 exercises with solution ]
• C Snippets [29]
• More to Come !

[ Want to contribute to C exercises? Send your code (attached with a .zip file) to us at w3resource[at]yahoo[dot]com. Please avoid copyrighted materials.]

Do not submit any solution of the above exercises at here, if you want to contribute go to the appropriate exercise page.

Popularity of Programming Language Worldwide, Nov 2023 compared to a year ago:

`

Rank	Change	Language	Share	Trend
1		Python	27.99 %	+0.0 %
2		Java	15.91 %	-0.8%
3		Javascript	9.18 %	-0.3%
4		C/C++	6.76 %	+0.2%
5		C#	6.67 %	-0.3 %
6		PHP	4.86 %	-0.3 %
7		R	4.45%	+0.4%
8		TypeScript	2.95 %	+0.1%
9		Swift	2.7 %	+0.6%
10		Objective-C	2.32%	+0.2%
11		Rust	1.98%	+0.3%
12		Go	1.98%	-0.0%
13		Kotlin	1.76 %	-0.1%
14		Matlab	1.6 %	+0.0%
15		Ada	1.02%	+0.2%
16		Ruby	1.0 %	-0.1 %
17		Dart	0.99 %	+0.1 %
18		Powershell	0.93 %	+0.0 %
19		VBA	0.93 %	-0.1 %
20		Scala	0.62 %	-0.1 %
21		Lua	0.62 %	0.0 %
22		Abap	0.58 %	+0.1 %
23		Visual Basic	0.55 %	-0.1 %
24		Julia	0.35 %	-0.0 %
25		Groovy	0.31 %	-0.1 %
26		Perl	0.31 %	-0.1 %
27		Haskell	0.27 %	-0.0 %
28		Cobol	0.25 %	-0.1 %
29		Delphi/Pascal	0.18 %	+0.2 %

Source : https://pypl.github.io/PYPL.html

TIOBE Index for November 2023

Nov 2023	Nov 2022	Change	Programming Language	Ratings	Change
1	1		Python	14.16%	-3.02%
2	2		C	11.77%	-3.31%
3	4		C++	10.36%	-0.39%
4	3		Java	8.35%	-3.63%
5	5		C#	7.65%	+3.40%
6	7		JavaScript	3.21%	+0.47%
7	10		PHP	2.30%	+0.61%
8	6		Visual Basic	2.10%	-2.01%
9	9		SQL	1.88%	+0.07%
10	8		Assembly language	1.35%	-0.83%
11	17		Scratch	1.31%	+0.43%
12	24		Fortran	1.30%	+0.74%
13	11		Go	1.19%	+0.05%
14	15		MATLAB	1.15%	+0.14%
15	28		Kotlin	1.15%	+0.68%
16	14		Delphi/Object Pascal	1.14%	+0.07%
17	18		Swift	1.04%	+0.17%
18	19		Ruby	0.99%	+0.14%
19	12		R	0.93%	-0.20%
20	20		Rust	0.91%	+0.16%

Source : https://www.tiobe.com/tiobe-index/

List of Exercises with Solutions :

• HTML CSS Exercises, Practice, Solution
• JavaScript Exercises, Practice, Solution
• jQuery Exercises, Practice, Solution
• jQuery-UI Exercises, Practice, Solution
• CoffeeScript Exercises, Practice, Solution
• Twitter Bootstrap Exercises, Practice, Solution
• C# Sharp Programming Exercises, Practice, Solution
• PHP Exercises, Practice, Solution
• Python Exercises, Practice, Solution
• R Programming Exercises, Practice, Solution
• Java Exercises, Practice, Solution
• SQL Exercises, Practice, Solution
• MySQL Exercises, Practice, Solution
• PostgreSQL Exercises, Practice, Solution
• SQLite Exercises, Practice, Solution
• MongoDB Exercises, Practice, Solution

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• Weekly Trends and Language Statistics

Problem Solving Through Programming in C

In this lesson, we are going to learn Problem Solving Through Programming in C. This is the first lesson while we start learning the C language.

Introduction to Problem Solving Through Programming in C

Regardless of the area of the study, computer science is all about solving problems with computers. The problem that we want to solve can come from any real-world problem or perhaps even from the abstract world. We need to have a standard systematic approach to problem solving through programming in c.

In this chapter, we will learn problem-solving and steps in problem-solving, basic tools for designing solution as an algorithm, flowchart , pseudo code etc.

The computer cannot solve the problem on its own, one has to provide step by step solutions of the problem to the computer. In fact, the task of problem-solving is not that of the computer.

Steps to Solve a Problem With the Computer

Step 1: understanding the problem:.

Here we try to understand the problem to be solved in totally. Before with the next stage or step, we should be absolutely sure about the objectives of the given problem.

Step 2: Analyzing the Problem:

Step 3: developing the solution:, step 4: coding and implementation:.

The last stage of problem-solving is the conversion of the detailed sequence of operations into a language that the computer can understand. Here, each step is converted to its equivalent instruction or instructions in the computer language that has been chosen for the implantation.

The problem solving is a skill and there are no universal approaches one can take to solving problems. Basically one must explore possible avenues to a solution one by one until she/he comes across the right path to a solution.

Problem Solving Steps

A problem-solving technique follows certain steps in finding the solution to a problem. Let us look into the steps one by one:

1. Problem Definition Phase:

2. getting started on a problem:.

There are many ways of solving a problem and there may be several solutions. So, it is difficult to recognize immediately which path could be more productive. Problem solving through programming in C.

3. Use of Specific Examples:

This approach of focusing on a particular problem can give us the foothold we need for making a start on the solution to the general problem.

4. Similarities Among Problems:

5. working backwards from the solution:.

In some cases, we can assume that we already have the solution to the problem and then try to work backwards to the starting point. Even a guess at the solution to the problem may be enough to give us a foothold to start on the problem.

General Problem Solving Strategies:

1. divide and conquer:.

The most widely known and used strategy, where the basic idea is to break down the original problem into two or more sub-problems, which is presumably easier or more efficient to solve.

2. Binary Doubling:

3. dynamic programming:, 4. general search, back tracking and branch-and-bound:.

All of these are variants of the basic dynamic programming strategy but are equally important.

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Related posts, what is preprocessor in c, what is file handling in c, structures and unions in c.

Problem Solving Through Programming In C

• Formulate simple algorithms for arithmetic and logical problems
• Translate the algorithms to programs (in C language)
• Test and execute the programs and  correct syntax and logical errors
• Implement conditional branching, iteration and recursion
• Decompose a problem into functions and synthesize a complete program using divide and conquer approach
• Use arrays, pointers and structures to formulate algorithms and programs
• Apply programming to solve matrix addition and multiplication problems and searching and sorting problems 
• Apply programming to solve simple numerical method problems, namely rot finding of function, differentiation of function and simple integration

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Pointer programming exercises and solutions in C

Pointer is a variable that stores memory addresses. Unlike normal variables it does not store user given or processed value, instead it stores valid computer memory address.

Pointer allows various magical things to be performed in C.

• Pointers are more efficient in handling arrays and structures.
• Pointers are used to return multiple values from a function.
• Pointer allows dynamic memory allocation and deallocation (creation and deletion of variables at runtime) in C. Which undoubtedly is the biggest advantage of pointers.
• Pointer allows to refer and pass a function as a parameter to functions.

and many more…

For beginners pointers can be a bad dream if not practiced well. However, once mastered you can do anything you want to do in C programming language.

In this exercise I will cover most of the pointer related topics from a beginner level. Always feel free to drop your queries and suggestion down below in the comments section .

Required knowledge

Pointers , Pointer Arithmetic , Pointer to Pointer , Pointer and Arrays , Function Pointer

Please go through above tutorials to get a good grasp of following examples.

List of pointer programming exercises

• Write a C program to create, initialize and use pointers .
• Write a C program to add two numbers using pointers .
• Write a C program to swap two numbers using pointers .
• Write a C program to input and print array elements using pointer .
• Write a C program to copy one array to another using pointers .
• Write a C program to swap two arrays using pointers .
• Write a C program to reverse an array using pointers .
• Write a C program to search an element in array using pointers .
• Write a C program to access two dimensional array using pointers .
• Write a C program to add two matrix using pointers .
• Write a C program to multiply two matrix using pointers .
• Write a C program to find length of string using pointers .
• Write a C program to copy one string to another using pointers .
• Write a C program to concatenate two strings using pointers .
• Write a C program to compare two strings using pointers .
• Write a C program to find reverse of a string using pointers .
• Write a C program to sort array using pointers .
• Write a C program to return multiple value from function using pointers .

01. PLAY WITH PRINTF()

02. data type & variables, 03. user input scanf(), 04. apply your conditions, 05. magic of loop, 06. uses of array, 07. fun of function, 08. start with string, 09. pointer de complexity, 10. structur of union, 11. basic of file i/o, 12. math & coding.

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Problem Solving in Artificial Intelligence

The reflex agent of AI directly maps states into action. Whenever these agents fail to operate in an environment where the state of mapping is too large and not easily performed by the agent, then the stated problem dissolves and sent to a problem-solving domain which breaks the large stored problem into the smaller storage area and resolves one by one. The final integrated action will be the desired outcomes.

On the basis of the problem and their working domain, different types of problem-solving agent defined and use at an atomic level without any internal state visible with a problem-solving algorithm. The problem-solving agent performs precisely by defining problems and several solutions. So we can say that problem solving is a part of artificial intelligence that encompasses a number of techniques such as a tree, B-tree, heuristic algorithms to solve a problem.  

We can also say that a problem-solving agent is a result-driven agent and always focuses on satisfying the goals.

There are basically three types of problem in artificial intelligence:

1. Ignorable: In which solution steps can be ignored.

2. Recoverable: In which solution steps can be undone.

3. Irrecoverable: Solution steps cannot be undo.

Steps problem-solving in AI: The problem of AI is directly associated with the nature of humans and their activities. So we need a number of finite steps to solve a problem which makes human easy works.

These are the following steps which require to solve a problem :

• Problem definition: Detailed specification of inputs and acceptable system solutions.
• Problem analysis: Analyse the problem thoroughly.
• Knowledge Representation: collect detailed information about the problem and define all possible techniques.
• Problem-solving: Selection of best techniques.

Components to formulate the associated problem: 

• Initial State: This state requires an initial state for the problem which starts the AI agent towards a specified goal. In this state new methods also initialize problem domain solving by a specific class.
• Action: This stage of problem formulation works with function with a specific class taken from the initial state and all possible actions done in this stage.
• Transition: This stage of problem formulation integrates the actual action done by the previous action stage and collects the final stage to forward it to their next stage.
• Goal test: This stage determines that the specified goal achieved by the integrated transition model or not, whenever the goal achieves stop the action and forward into the next stage to determines the cost to achieve the goal.  
• Path costing: This component of problem-solving numerical assigned what will be the cost to achieve the goal. It requires all hardware software and human working cost.

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