Javascript string method
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The document discusses various string methods in JavaScript including length, indexOf(), lastIndexOf(), search(), slice(), substring(), substr(), toUpperCase(), and toLowerCase(). It provides examples of each method and describes what each one returns or accomplishes, such as getting the length of a string, finding the position of substring matches within a string, and extracting or converting parts of strings.
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Javascript built in String Functions
Javascript built in String FunctionsAvanitrambadiya String Function
1. charAt():
This method returns the character from the specified index.Characters in a string are indexed from left to right. The index of the first character is 0, and the index of the last character in a string called stringName is stringName.length - 1.
Syntax:
string.charAt(index);
Return Value:
Returns the character from the specified index.
Example:
<html>
<head>
<title>JavaScript String charAt() Method</title>
</head>
<body>
</body>
</html>
Output:
str.charAt(0) is:T
2. concat():
Description:
This method adds two or more strings and returns a new single string.
Syntax:
string.concat(string2, string3[, ..., stringN]);
parameters:
string2...stringN : These are the strings to be concatenated.
Return Value:
Returns a single concatenated string.
Example:
<html>
<head>
<title>JavaScript String concat() Method</title>
</head>
<body>
</body>
</html>
Output:
Concatenated String :This is string oneThis is string two.
3. indexOf():
Description:
This method returns the index within the calling String object of the first occurrence of the specified value, starting the search at fromIndex or -1 if the value is not found.
Syntax:
string.indexOf(searchValue[, fromIndex])
Parameters:
searchValue : A string representing the value to search for.
fromIndex : The location within the calling string to start the search from. It can be any integer between 0 and the length of the string. The default value is 0.
Return Value:
Returns the index of the found occurrence otherwise -1 if not found.
Example:
<html>
<head>
<title>JavaScript String indexOf() Method</title>
</head>
<body>
<br />");
var index = str1.indexOf( "one" );
document.write("indexOf found String :" + index );
</body></html>
Oputput:
indexOf found String :8
indexOf found String :15
4. lastIndexOf():
Description:
This method returns the index within the calling String object of the last occurrence of the specified value, starting the search at fromIndex or -1 if the value is not found.
Syntax:
string.lastIndexOf(searchValue[, fromIndex])
Parameters:
searchValue : A string representing the value to search for.
fromIndex : The location within the calling string to start the search from. It can be any integer between 0 and the length of the string. The default value is 0.
Return Value:
Returns the index of the last found occurrence otherwise -1 if not found.
Example:
<html>
<head>
<title>JavaScri
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May 2025: Top 10 Cited Articles in Software Engineering & Applications Intern...sebastianku31 The International Journal of Software Engineering & Applications (IJSEA) is a bi-monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the Software Engineering & Applications. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on understanding Modern software engineering concepts & establishing new collaborations in these areas.
社内勉強会資料_Chain of Thought .
社内勉強会資料_Chain of Thought .NABLAS株式会社 本資料「To CoT or not to CoT?」では、大規模言語モデルにおけるChain of Thought（CoT）プロンプトの効果について詳しく解説しています。
CoTはあらゆるタスクに効く万能な手法ではなく、特に数学的・論理的・アルゴリズム的な推論を伴う課題で高い効果を発揮することが実験から示されています。
一方で、常識や一般知識を問う問題に対しては効果が限定的であることも明らかになりました。
複雑な問題を段階的に分解・実行する「計画と実行」のプロセスにおいて、CoTの強みが活かされる点も注目ポイントです。
This presentation explores when Chain of Thought (CoT) prompting is truly effective in large language models.
The findings show that CoT significantly improves performance on tasks involving mathematical or logical reasoning, while its impact is limited on general knowledge or commonsense tasks.
Introduction to AI agent development with MCP
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with MCP and AI2AI
Software Developer Portfolio: Backend Architecture & Performance Optimization
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Irja Straus - Beyond Pass and Fail - DevTalks.pdf
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Top Cite Articles- International Journal on Soft Computing, Artificial Intell...
Top Cite Articles- International Journal on Soft Computing, Artificial Intell...ijscai International Journal on Soft Computing, Artificial Intelligence and Applications (IJSCAI) is an open access peer-reviewed journal that provides an excellent international forum for sharing knowledge and results in theory, methodology and applications of Artificial Intelligence, Soft Computing. The Journal looks for significant contributions to all major fields of the Artificial Intelligence, Soft Computing in theoretical and practical aspects. The aim of the Journal is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field.
May 2025 - Top 10 Read Articles in Artificial Intelligence and Applications (...
May 2025 - Top 10 Read Articles in Artificial Intelligence and Applications (...gerogepatton The International Journal of Artificial Intelligence & Applications (IJAIA) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the Artificial Intelligence & Applications (IJAIA). It is an international journal intended for professionals and researchers in all fields of AI for researchers, programmers, and software and hardware manufacturers. The journal also aims to publish new attempts in the form of special issues on emerging areas in Artificial Intelligence and applications.
ANFIS Models with Subtractive Clustering and Fuzzy C-Mean Clustering Techniqu...
ANFIS Models with Subtractive Clustering and Fuzzy C-Mean Clustering Techniqu...Journal of Soft Computing in Civil Engineering Civil engineering faces significant challenges from expansive soils, which can lead to structural damage. This study aims to optimize subtractive clustering and Fuzzy C-Mean Clustering (FCM) models for the most accurate prediction of swelling percentage in expansive soils. Two ANFIS models were developed, namely the FIS1S model using subtractive clustering and the FIS2S model utilizing the FCM algorithm. Due to the MATLAB graphical user interface's limitation on the number of membership functions, the coding approach was employed to develop the ANFIS models for optimal prediction accuracy and problem-solving time. So, two programs were created to determine the optimal influence radius for the FIS1S model and the number of membership functions for the FIS2S model to achieve the highest prediction accuracy. The ANFIS models have demonstrated their highest predictive ability in predicting swelling percentage, thanks to the optimization of membership functions and cluster centers. The developed programs also showed excellent performance and can be potentially applied to optimize subtractive clustering and FCM models in accurately modeling various engineering aspects.
A Comprehensive Investigation into the Accuracy of Soft Computing Tools for D...
A Comprehensive Investigation into the Accuracy of Soft Computing Tools for D...Journal of Soft Computing in Civil Engineering This study will provide the audience with an understanding of the capabilities of soft tools such as Artificial Neural Networks (ANN), Support Vector Regression (SVR), Model Trees (MT), and Multi-Gene Genetic Programming (MGGP) as a statistical downscaling tool. Many projects are underway around the world to downscale the data from Global Climate Models (GCM). The majority of the statistical tools have a lengthy downscaling pipeline to follow. To improve its accuracy, the GCM data is re-gridded according to the grid points of the observed data, standardized, and, sometimes, bias-removal is required. The current work suggests that future precipitation can be predicted by using precipitation data from the nearest four grid points as input to soft tools and observed precipitation as output. This research aims to estimate precipitation trends in the near future (2021-2050), using 5 GCMs, for Pune, in the state of Maharashtra, India. The findings indicate that each one of the soft tools can model the precipitation with excellent accuracy as compared to the traditional method of Distribution Based Scaling (DBS). The results show that ANN models appear to give the best results, followed by MT, then MGGP, and finally SVR. This work is one of a kind in that it provides insights into the changing monsoon season in Pune. The anticipated average precipitation levels depict a rise of 300–500% in January, along with increases of 200-300% in February and March, and a 100-150% increase for April and December. In contrast, rainfall appears to be decreasing by 20-30% between June and September.
Electrical and Electronics Engineering: An International Journal (ELELIJ)
Electrical and Electronics Engineering: An International Journal (ELELIJ)elelijjournal653 Call For Papers...!!!
Electrical and Electronics Engineering: An International Journal (ELELIJ)
Web page link: https://wireilla.com/engg/eeeij/index.html
Submission Deadline: June 08, 2025
Submission link: [email protected]
Contact Us: [email protected]
Strength of materials (Thermal stress and strain relationships)
Strength of materials (Thermal stress and strain relationships)pelumiadigun2006 Understand thermal stress and strain relationships in normal objects and composite bodies
ANFIS Models with Subtractive Clustering and Fuzzy C-Mean Clustering Techniqu...
ANFIS Models with Subtractive Clustering and Fuzzy C-Mean Clustering Techniqu...Journal of Soft Computing in Civil Engineering
A Comprehensive Investigation into the Accuracy of Soft Computing Tools for D...
A Comprehensive Investigation into the Accuracy of Soft Computing Tools for D...Journal of Soft Computing in Civil Engineering
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Javascript string method
- 1. Prof. Neeraj Bhargava Kapil Chauhan Department of Computer Science School of Engineering & Systems Sciences MDS University, Ajmer
- 2. String Length The length property returns the length of a string: Example var txt = "ABCDEFGHIJKLMNOPQRSTUVWXYZ"; var sln = txt.length; Output: The length property returns the length of a string: 26 Finding a String in a String The indexOf() method returns the index of (the position of) the first occurrence of a specified text in a string: Example var str = "Please locate where 'locate' occurs!"; var pos = str.indexOf("locate"); Output: The indexOf() method returns the position of the first occurrence of a specified text: 7
- 3. The lastIndexOf() method returns the index of the last occurrence of a specified text in a string: Example var str = "Please locate where 'locate' occurs!"; var pos = str.lastIndexOf("locate"); Output:The lastIndexOf() method returns the position of the last occurrence of a specified text:21 Both indexOf(), and lastIndexOf() return -1 if the text is not found.
- 4. Example var str = "Please locate where 'locate' occurs!"; var pos = str.lastIndexOf("John"); Output: -1 Both methods accept a second parameter as the starting position for the search:
- 5. The search() method searches a string for a specified value and returns the position of the match: Example var str = "Please locate where 'locate' occurs!"; var pos = str.search("locate"); Output: The search() method returns the position of the first occurrence of a specified text in a string: 8
- 6. There are 3 methods for extracting a part of a string: slice(start, end) substring(start, end) substr(start, length)
- 7. slice() extracts a part of a string and returns the extracted part in a new string. The method takes 2 parameters: the start position, and the end position (end not included). This example slices out a portion of a string from position 7 to position 12 (13-1): Example var str = "Apple, Banana, Kiwi"; var res = str.slice(7, 13); The result of res will be: Banana
- 8. substring() is similar to slice(). The difference is that substring() cannot accept negative indexes. Example var str = "Apple, Banana, Kiwi"; var res = str.substring(7, 13); The result of res will be: Banana
- 9. substr() is similar to slice(). The difference is that the second parameter specifies the length of the extracted part. Example var str = "Apple, Banana, Kiwi"; var res = str.substr(7, 6); The result of res will be: Banana
- 10. A string is converted to upper case with toUpperCase(): Example var text1 = "Hello World!"; var text2 = text1.toUpperCase(); Output: HELLO WORLD! A string is converted to lower case with toLowerCase(): Example var text1 = "Hello World!"; var text2 = text1.toLowerCase(); Output: hello world!