2016년 11월 5일 있었던 GDG DevFest 2016 Seoul 행사에서 진행된 `Boot Camp: 초보 개발자를 위한 웹 프론트엔드 개발 101` 워크숍의 소개 부분 슬라이드입니다.
- 행사 URL: https://festi.kr/festi/gdg-korea-2016-devfest-seoul/program/92/
The document discusses string processing in C programming. Some key points:
- Strings are arrays of characters that must be null-terminated
- Common functions for initializing, displaying, reading, comparing, and manipulating strings are introduced
- Functions like strcpy, strcmp, strlen, strcat, strchr, and strstr are described for copying, comparing, finding length and substrings of strings
Trie is an efficient data structure for storing and retrieving strings. It stores strings in a tree structure, with each node representing a character. Common operations on a trie like insertion, deletion and searching of strings can be performed in O(M) time where M is the length of the string. The document then provides details on the node structure used to implement a trie, along with pseudocode for inserting strings like "Apple" and "Army" into an empty trie.
This document is a lab manual for the course GE6161 Computer Practices Laboratory at Arunai Engineering College in Tiruvannamalai, India. It was prepared by M. Ashokkumar, R. Karthick, and T. Selvaganapathy. The document lists 10 experiments covering topics like using MS Office/Open Office, creating charts and graphs, problem solving with flowcharts and programming, arrays, strings, functions, recursion, structures, and unions. Each experiment includes an aim, algorithm, program code where applicable, output, and a self-exercise section for students.
The document discusses string operations and storage in programming languages. It describes the basic character sets used which include alphabets, digits, and special characters. It then discusses three methods of storing strings: fixed-length storage, variable-length storage with a fixed maximum, and linked storage. The document proceeds to define common string operations like length, substring, indexing, concatenation, insertion, deletion, replacement, and pattern matching. Algorithms for implementing some of these operations are provided.
2016년 11월 5일 있었던 GDG DevFest 2016 Seoul 행사에서 진행된 `Boot Camp: 초보 개발자를 위한 웹 프론트엔드 개발 101` 워크숍의 소개 부분 슬라이드입니다.
- 행사 URL: https://festi.kr/festi/gdg-korea-2016-devfest-seoul/program/92/
The document discusses string processing in C programming. Some key points:
- Strings are arrays of characters that must be null-terminated
- Common functions for initializing, displaying, reading, comparing, and manipulating strings are introduced
- Functions like strcpy, strcmp, strlen, strcat, strchr, and strstr are described for copying, comparing, finding length and substrings of strings
Trie is an efficient data structure for storing and retrieving strings. It stores strings in a tree structure, with each node representing a character. Common operations on a trie like insertion, deletion and searching of strings can be performed in O(M) time where M is the length of the string. The document then provides details on the node structure used to implement a trie, along with pseudocode for inserting strings like "Apple" and "Army" into an empty trie.
This document is a lab manual for the course GE6161 Computer Practices Laboratory at Arunai Engineering College in Tiruvannamalai, India. It was prepared by M. Ashokkumar, R. Karthick, and T. Selvaganapathy. The document lists 10 experiments covering topics like using MS Office/Open Office, creating charts and graphs, problem solving with flowcharts and programming, arrays, strings, functions, recursion, structures, and unions. Each experiment includes an aim, algorithm, program code where applicable, output, and a self-exercise section for students.
The document discusses string operations and storage in programming languages. It describes the basic character sets used which include alphabets, digits, and special characters. It then discusses three methods of storing strings: fixed-length storage, variable-length storage with a fixed maximum, and linked storage. The document proceeds to define common string operations like length, substring, indexing, concatenation, insertion, deletion, replacement, and pattern matching. Algorithms for implementing some of these operations are provided.
C programming & data structure [character strings & string functions]MomenMostafa
The document provides information about C programming language and data structures. It includes references to books and websites on the topics. The document outlines topics that will be covered, including arrays and pointers, strings and string functions, structures, algorithms, stacks, queues and trees. It then gives details on a lesson about string functions, including examples of gets(), puts(), fgets() and other standard library string functions.
The document provides an overview of ABAP (Advanced Business Application Programming) programming. It outlines the structure of an ABAP course including chapters on list processing, open SQL, event-driven programming, modularization, and debugging. It also describes the basic concepts of ABAP including data types, variables, structures, constants, system fields and statements like MOVE, CLEAR and FIELD-SYMBOLS.
This document presents information on data structures and their types. It discusses linear data structures like arrays, stacks, queues and linked lists. It describes their representation and common operations like traversing, searching, insertion and deletion. The document also covers non-linear data structures like trees and graphs, describing their representation and operations like searching, insertion and deletion. It was submitted by Navtar Singh to Mrs. Jaspreet Kaur as a presentation on data structures.
This document discusses various data structures in C#, including arrays, lists, queues, stacks, hash tables, and more. It provides code examples and explains the time complexity of common operations for each data structure. Asymptotic analysis and big-O notation are introduced for analyzing how efficiently a data structure handles operations as its size increases.
The document provides an overview of algorithms and data structures. It discusses what an algorithm is, different algorithm design strategies, approaches to analyzing algorithms, and key computational problems like sorting, searching, and graph problems. It also covers fundamental data structures like lists, stacks, queues, and trees. Major sections include introductions to algorithms, analysis of algorithms, problem solving techniques, and linear and non-linear data structures.
This document discusses data structures and their applications. It defines key terms like data, data item, entity, attribute, field, record, and file. It explains that a data structure is a logical organization of data that specifies the data elements and operations that can be performed on them. Common operations include traversing, searching, inserting, and deleting. The choice of data structure depends on how frequently certain operations will be performed. Real-life data manipulation requires storage, retrieval, and transformation of user data.
The binary search is faster than the sequential search. The complexity of binary search is O(log n) whereas the complexity of a sequential search is O(n). Stacks are used to evaluate algebraic or arithmetic expressions using prefix or postfix notations. Heap sort involves creating a max heap from the array and then replacing the root with the last element and rebuilding the heap for the remaining elements, repeating this process to sort the entire array.
Data structures allow for the organization and storage of data. There are linear and non-linear data structures. Linear structures include arrays, stacks, queues, and linked lists. Arrays store elements in contiguous memory locations. Stacks and queues follow first-in last-out and first-in first-out rules respectively. Linked lists connect nodes using pointers. Non-linear structures include trees and graphs which emulate hierarchical and network-like connections. Common operations on data structures include traversing, searching, insertion, and deletion.
This document provides information about Dream Valley College for Girls Centre for Educational Excellence. It includes an index and presentation on data structures covering topics like arrays, linked lists, queues, trees, and graphs. The presentation was presented by Harish Sir and includes definitions, examples, and diagrams to explain each data structure concept.
មេរៀនៈ Data Structure and Algorithm in C/C++Ngeam Soly
This document provides an introduction to a lecture on data structures and algorithms. It discusses the lecturer's contact information and expectations for reading ahead of lectures. It then covers topics that will be discussed in the course, including programs and programming, introduction to programming, crafting programs effectively, what makes a good program, and why data structures and algorithms are important subjects. The document provides an overview of what will be covered in the course.
The document discusses different data structures and their implementations and applications. It covers arrays, linked lists, stacks, queues, binary trees, and binary search. The key points are:
- Arrays allow fast access but have fixed size; linked lists can grow dynamically but access is slower.
- Binary trees allow fast (O(log n)) search, insertion, and deletion operations due to their hierarchical structure.
- Stacks and queues are useful for modeling LIFO and FIFO data access with applications like function calls and job scheduling.
- Binary search runs in O(log n) time by recursively dividing the search space for sorted data.
goorm is the cloud-based Integrated Development Environment. It is developed in only javascript and using various open source libraries. It is also an open-source project. goorm supports currently C/C++ and Java as well as HTML, CSS, PHP and Javascript. Other languages will be supported with plugin.
C programming & data structure [character strings & string functions]MomenMostafa
The document provides information about C programming language and data structures. It includes references to books and websites on the topics. The document outlines topics that will be covered, including arrays and pointers, strings and string functions, structures, algorithms, stacks, queues and trees. It then gives details on a lesson about string functions, including examples of gets(), puts(), fgets() and other standard library string functions.
The document provides an overview of ABAP (Advanced Business Application Programming) programming. It outlines the structure of an ABAP course including chapters on list processing, open SQL, event-driven programming, modularization, and debugging. It also describes the basic concepts of ABAP including data types, variables, structures, constants, system fields and statements like MOVE, CLEAR and FIELD-SYMBOLS.
This document presents information on data structures and their types. It discusses linear data structures like arrays, stacks, queues and linked lists. It describes their representation and common operations like traversing, searching, insertion and deletion. The document also covers non-linear data structures like trees and graphs, describing their representation and operations like searching, insertion and deletion. It was submitted by Navtar Singh to Mrs. Jaspreet Kaur as a presentation on data structures.
This document discusses various data structures in C#, including arrays, lists, queues, stacks, hash tables, and more. It provides code examples and explains the time complexity of common operations for each data structure. Asymptotic analysis and big-O notation are introduced for analyzing how efficiently a data structure handles operations as its size increases.
The document provides an overview of algorithms and data structures. It discusses what an algorithm is, different algorithm design strategies, approaches to analyzing algorithms, and key computational problems like sorting, searching, and graph problems. It also covers fundamental data structures like lists, stacks, queues, and trees. Major sections include introductions to algorithms, analysis of algorithms, problem solving techniques, and linear and non-linear data structures.
This document discusses data structures and their applications. It defines key terms like data, data item, entity, attribute, field, record, and file. It explains that a data structure is a logical organization of data that specifies the data elements and operations that can be performed on them. Common operations include traversing, searching, inserting, and deleting. The choice of data structure depends on how frequently certain operations will be performed. Real-life data manipulation requires storage, retrieval, and transformation of user data.
The binary search is faster than the sequential search. The complexity of binary search is O(log n) whereas the complexity of a sequential search is O(n). Stacks are used to evaluate algebraic or arithmetic expressions using prefix or postfix notations. Heap sort involves creating a max heap from the array and then replacing the root with the last element and rebuilding the heap for the remaining elements, repeating this process to sort the entire array.
Data structures allow for the organization and storage of data. There are linear and non-linear data structures. Linear structures include arrays, stacks, queues, and linked lists. Arrays store elements in contiguous memory locations. Stacks and queues follow first-in last-out and first-in first-out rules respectively. Linked lists connect nodes using pointers. Non-linear structures include trees and graphs which emulate hierarchical and network-like connections. Common operations on data structures include traversing, searching, insertion, and deletion.
This document provides information about Dream Valley College for Girls Centre for Educational Excellence. It includes an index and presentation on data structures covering topics like arrays, linked lists, queues, trees, and graphs. The presentation was presented by Harish Sir and includes definitions, examples, and diagrams to explain each data structure concept.
មេរៀនៈ Data Structure and Algorithm in C/C++Ngeam Soly
This document provides an introduction to a lecture on data structures and algorithms. It discusses the lecturer's contact information and expectations for reading ahead of lectures. It then covers topics that will be discussed in the course, including programs and programming, introduction to programming, crafting programs effectively, what makes a good program, and why data structures and algorithms are important subjects. The document provides an overview of what will be covered in the course.
The document discusses different data structures and their implementations and applications. It covers arrays, linked lists, stacks, queues, binary trees, and binary search. The key points are:
- Arrays allow fast access but have fixed size; linked lists can grow dynamically but access is slower.
- Binary trees allow fast (O(log n)) search, insertion, and deletion operations due to their hierarchical structure.
- Stacks and queues are useful for modeling LIFO and FIFO data access with applications like function calls and job scheduling.
- Binary search runs in O(log n) time by recursively dividing the search space for sorted data.
goorm is the cloud-based Integrated Development Environment. It is developed in only javascript and using various open source libraries. It is also an open-source project. goorm supports currently C/C++ and Java as well as HTML, CSS, PHP and Javascript. Other languages will be supported with plugin.
This document discusses structures in C programming. It explains that structures can contain elements of different data types, accessed by name, unlike arrays where all elements must be of the same type and accessed by index. It provides examples of declaring a structure type with members, defining structure variables, accessing members using the dot operator, passing structures to functions, and initializing an array of structures.
The document discusses call-by-value in function invocation in C. When a function is called, only the values of the arguments are passed to the function, not the variables themselves. So any changes made to the parameters inside the function are not reflected in the calling function. This causes an issue when trying to swap variables by passing them to a Swap function.
3. 클라우드 통합개발환경 구름IDE
• 클라우드 통합 개발 환경
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웹 브라우저만 있으면 언제 어디서나 개발 가능
별도의 설치 과정이 불필요
온라인 빌드/실행/디버깅 지원
온라인 실시간 협업 지원
다양한 프로그래밍 언어 지원
3
4. 구름의 동작 환경
• 동작 환경
– 운영체제에 관계 없이 웹 표준을 준수하는 브라우저에서 동작
– 운영체제: Windows, Mac OSX, Linux
– 브라우저: Chrome, Safari, Firefox, Opera
• 구글 크롬 브라우저
– 최신 웹 기술을 기반으로 웹표준을 잘 지원하는
구글 크롬에서 가장 잘 동작
4