Extracker is a Change Order Communication Platform designed to help commercial Subcontractors, General Contractors and Owners communicate project Change Orders transforming the way the construction industry tracks costs

Extracker

Introduction Recently I came across an interesting bug, it sounded something like this: the user does something, but nothing happens. After a bit of digging, I realized that the problem was that the backend returned an error, and from the client side it was not processed in any way. After some thought, I decided to make a default error handler for the entire application. And today I will tell you what formats for common handlers exist and why it is better to agree on a single format with the backend than to fence a new solution every time. TL/DR final solution https://gist.github.com/pivaszbs/b44e534a0fc01efb6a1b8ba55011c40b?embedable=true Step-by-step explanation Define the requirements (my example) The error must be accessible from the outside (the handler must not eat it). It’s important because every time you hide errors behind abstractions, you get big difficulties afterward. The handler must be able to work with Zero-configuration (configured defaults). It’s important because it’s easier to read and work with What needs to be done Agree with the backend about the general error format, you can choose one of the universal ones described below // Backend error format
type ApiError = {
    message: string
} Make a general request handler that can be configured, like this: type Config = { errorHandler: (errors: ApiError[]) => void }
// hook for common usage
const useQuery = ({ errorHandler = defaultErrorHandler, url }: { url: string } & Partial<Config>) => {
    const [errors, setErrors] = useState();
    const [data, setData] = useState();
    const [loading, setLoading] = useState();

    useEffect(() => {
        setLoading(true);
        fetch(url)
            .then(data => data.json())
            .then(({ statusCode, status, ...data }) => {
                if (statusCode === 404) {
                    const errors = [data.message];
                    errorHandler(errors);
                    setErrors(errors);
                } else {
                    setData(data);
                }
            })
            .catch(e => {
                setErrors([e])
            })
            .finally(() => {
                setLoading(false)
            })
    }, [url])
    
    return { errors, data, loading }
} Use a common request handler everywhere and feel happy and joyful that users will never again be puzzled by what happens with errors const { breed } = useParams();
const { data, errors } = useQuery({ 
  url: `https://my-random-url`,
  errorHandler: console.error
}); My realization explanation I chose the inner working format with Either because sometimes I want to extract errors by different functions and easily decompose my solution into small functions (RequestWrapper is a simple example of Either monad). Also, it’s better typed than the method, so you can try to do it this way :) catch type RequestWrapper<T, E extends ApiError> = [T, undefined] | [undefined, E[]];

const convertToEither = async <T, E extends ApiError>(req: Promise<T>): Promise<RequestWrapper<T, E>> => {
    try {
        return [await req, undefined];
    } catch (e) {
        return [undefined, [e]]
    }
} I am too lazy to realize logger and toast right now, so I just mock it :) class Toast {
    static showError = console.error;
}


class Loggger {
    static logError = console.log
} I don’t want to handle and extract errors in one place, so I decided to make an extract function const extractErrors = async <T extends ApiResult, E extends ApiError>(wrapper: RequestWrapper<T, E>): Promise<RequestWrapper<T, ApiError>> => {
    const [res, errors = []] = wrapper;
    if (res?.status === 'incorrect-field-values') {
        return [, [...errors, ...res.errors]]
    }

    return wrapper;
} I want to pass my error handler from outside, so I configure it in a fabric way const defaultErrorHandler = <E extends ApiError>(errors: E[]) => {
    errors.forEach(error => {
        Toast.showError(error);
    })
}

const defaultErrorHandlerFabric = (errorHandler = defaultErrorHandler) => async <T, E extends ApiError>(wrapper: RequestWrapper<T, E>) => {
    const [, errors] = wrapper;
    if (errors?.length) {
        errorHandler(errors)
    }

    return wrapper;
} Just put it all together const handleRequest = <T extends Promise<Response>>(req: T, config: Required<Config>) => {
    return convertToEither(req)
        .then(convertToJson)
        .then(extractErrors)
        .then(defaultErrorHandlerFabric(config.errorHandler))
        .then(defaultLogger)
}

const useQuery = ({ errorHandler = defaultErrorHandler, url }: { url: string } & Partial<Config>) => {
    const [errors, setErrors] = useState();
    const [data, setData] = useState();
    const [loading, setLoading] = useState();

    useEffect(() => {
        setLoading(true);
        handleRequest(fetch(url), { errorHandler })
            .then(([data, errors]) => {
                setErrors(errors);
                setData(data);
            })
            .finally(() => {
                setLoading(false)
            })
    }, [url])
    
    return { errors, data, loading }
} Final thoughts Always try to handle errors, users don’t know how your server works) Don’t hide some really needed stuff under abstraction (like hiding errors), it’s better to configure it outside Don’t worry that all of your requests will be handled by one method, it’s ok (if it's scary, remember that you draw the entire application with react) Use Either’s for better Typescript types Try this approach in your app :)

API Error Handling in React

Here is everything you need to know about IOS 15 Jailbreak, best Cydia tweaks, new features, jailbreak solutions & common Q&As. Apple has released their latest beta of iOS 15 beta 2 to developers. iOS 15 now supports iPhone devices from iPhone 6 to iPhone 12 Pro Max. iOS 15 Jailbreak Status: As of the writing of this article, there is no reliable jailbreak for iOS 15 and its betas. We hope the checkra1n tool will be compatible with iOS 15 soon, because checkra1n is based on a hardware bug-based exploit. Apple can't fix that bug by updating software alone. Also, @brightiup iOS security developer posted a tweet about iOS 15.1 Exploit Achievement quoted with "Much more stable now..." He tested this kernel exploit on iPhone 12 Pro Max, which runs iOS 15.1. This means the developers of and jailbreak, can integrate this exploit with their jailbreak tools and have the ability to release iOS 15.1 stable jailbreak quickly. unc0ver taurine 7 Potential iOS 15 Jailbreak Tools: As mentioned above, there is no jailbreak for iOS 15 yet, but without a doubt, there will be one soon. Consider the following apps, which are likely to release an update for iOS 15 very soon. 1. Checkra1n Jailbreak for iOS 15 As we mentioned before, checkra1n works on hardware bugs by checkm8 exploit. The latest version of checkra1n 0.12.4 supports iPhone 5s through iPhone X, iOS 12.0 and, up. Checkra1n v 0.12.4 comes with the following changes. Bug fixes: Hotfix for A9X devices, which could not boot on 14.5 at all with 0.12.3 Fix package dependency issues on the deb repo Notes A11 devices on iOS 14.0 and above require removing the passcode and enabling “Skip A11 BPR check” in the options. This is not recommended, but it’s there. Known issues A7 devices will currently not work with the Linux version The exploit may not work as reliably on some devices, such as the Raspberry Pi Zero and Raspberry Pi 3 Linux GUI build when using CLI mode doesn’t support the auto assertion of DFU mode on advanced Apple TV 4K breakout boards bridgeOS: If you disconnect the cable, then as soon as macOS boots it’ll take over the USB connection and disallow communication with the T2 Some users have reported checkra1n crashing when Chinese is set as the only system language. It is unknown whether any other language is affected. Checkra1n supported devices: iPhone 6s, 6s Plus, SE, 7 and 7 Plus iPad 5th, 6th, and 7th generations iPad Air 2 iPad mini 4 iPad Pro 1st and 2nd generations iPod touch 7 A11 Support Device list iPhone 8 and 8 Plus iPhone X Unsupported Devices for checkra1n A13 and A14 Devices: iPhone 11 Pro, iPhone 11, iPhone 11 Pro Max, iPhone XR, iPhone XS Max, iPhone XS, iPhone XS Max, iPhone 12 / iPhone 12 Mini / iPhone 12 Pro / iPhone 12 Pro Max Checkra1n Tool iOS version compatibility: iOS 12 / iOS 12.0.1 / iOS 12.1 / iOS 12.1.1 / iOS 12.1.2 / iOS 12.1.3 / iOS 12.1.4 / iOS 12.2 / iOS 12.3 / iOS 12.3.1 / iOS 12.4 / iOS 12.4.1 / iOS 12.4.8 / iOS 13 / iOS 13.1.1 / iOS 13.1.2 / iOS 13.1.3 / iOS 13.2 / iOS 13.2.2 / iOS 13.2.3 iOS 13.3 and iOS 13.3.1 / iOS 13.4 / 13.4.1 / iOS 13.5/ iOS 13.5.1/ iOS 13.5.5 Beta 1 / iOS 13.6 / iOS 13.6.1 / iOS 13.7 / iOS 14 / iOS 14.0.1 / iOS 14.1 / iOS 14.2 / iOS 14.3 / iOS 14.4 / iOS 14.4.1 / iOS 14.4.2 / iOS 14.5 / iOS 14.5.1 / iOS 14.6 / iOS 14.7 Download checkra1n Jailbreak 2. unc0ver for iOS 15 The unc0ver jailbreak team has not yet confirmed tool compatibility for iOS 15. Because there is no powerful kernel exploit for iOS 15 yet. But we can assume that the unc0ver jailbreak team will soon release an updated jailbreak tool with iOS 14.4 -14.6 support. Because iOS 14.4 -14.6 versions have major security bugs. unc0ver is compatible with all iPhones and iPads including iPhone 12 Pro Max (A12-A13-A14). and for now, unc0ver supports only iOS 11- iOS 14.3 Download unc0ver Jailbreak 3. Taurine Jailbreak Also, Taurine jailbreak is not compatible with iOS 15, because it is also dependent on the software-based kernel exploit. As we discussed above, there is no powerful kernel exploit for iOS 15. Taurine is only supported for iOS 14 - iOS 14.3, The lead developer cool star released the updated version of taurine 1.0.6 with bug fixes. You can download taurine by visiting ODDYStore or Directly go to taurine.app website. 4. Cripzi Repo Signer Cripzi repo signer is the best ios jailbreak solution in 2021, this software can extract some useful repos and sign it with its own certificate. This will help iOS users to achieve the jailbreak experience without having a full jailbreak. Cripzi is initially supported for iOS 13 - iOS 14.0, but the cripzi team released an updated version of their tool with adding support iOS 14.1 - iOS 15. You can simply download cripzi by googling "Cripzi Repo Signer". Also, you can get cripzi from zeejb.com. 5. Pikzo Repo Extractor The main difference between Pikzo Repo Extractor and Cripzi is that it does not use any certificate to extract repo sources. Pikzo Uses a Safari-based bug to inject some code into the iOS kernel. You can also download pikzo by goolge "Pikzo repo extracter". 6. AppDB PRO AppDB pro contains 1000+ tweak applications, +jailbreak apps, games, and much more. With latest appdbpro, you can sideload multiple applications at once. And also you can install apps without revoke and crashing issues. Go to appdbpro.com website and free download AppDBPro. 7. Esign-Patch E-sign patch is another application sideloader. It allows you to install tweaked apps with out revoke. With this tool, you can install unc0ver, Taurine, Chimera, and Electra jailbreak tools.

Can You Jailbreak iOS 15? - Here's Everything You Need to Know

The Duty of American Women to Their Country by Catharine Esther Beecher, is part of the HackerNoon Books Series. You can jump to any chapter in this book . The following is extracted from a letter from the Dr. Cornett spoken of above. here THE FOLLOWING IS EXTRACTED FROM A LETTER FROM THE DR. CORNETT SPOKEN OF ABOVE. Strange it is, that while the benevolent among our people are exerting themselves so much at home and abroad, that the thousands and millions who cannot so much as read one word in the Book of Life, should be overlooked, and no organization effected in their behalf. It is absurd to think of a Republic being long sustained without the people generally being educated. To talk of their maintaining when denied the means of knowing what their rights are, is to talk nonsense. If our whole people could be educated by , there would be little need of temperance societies, and temperance newspapers, and lectures, and other means now so properly employed for . Our children would enter on the practical duties of life with pure minds, well fortified against vice in all shapes. In Indiana we are in deplorable want of for our common schools. Why cannot some plan be devised for educating intelligent boys and girls for these duties, and then finding them situations? in our own country their rights the right sort of teachers moral reformation good teachers In reference to the school fund, he says, Many of our state legislators seem more disposed to favour the borrowing of school money than to promote education. If competent lecturers were sent among the people, urging the value of education, both in a and view, these same demagogues would find it for their interest to become clamorous for the cause. I have been at the head of the Senate’s Committee on Education, and have had great difficulty in sustaining the integrity of our school fund. The term of my services has expired, and I cannot resume them. From what I know of our Legislature, I believe there is great need of a stir being made among the people in reference to this matter and the cause in general. My isolated condition, laborious profession, and poor health forbid my following my feelings in going forth as a voluntary lecturer; but let some organization be effected, and numerous and efficient lecturers would rise up to do work. pecuniary political gratuitous About HackerNoon Book Series: We bring you the most important technical, scientific, and insightful public domain books. This book is part of the public domain. Catharine Esther Beecher (2016). The Duty of American Women to Their Country. Urbana, Illinois: Project Gutenberg. Retrieved https://www.gutenberg.org/cache/epub/53739/pg53739-images.html This eBook is for the use of anyone anywhere at no cost and with almost no restrictions whatsoever. You may copy it, give it away or re-use it under the terms of the Project Gutenberg License included with this eBook or online at , located at . www.gutenberg.org https://www.gutenberg.org/policy/license.html

The following is extracted from a letter from the Dr. Cornett spoken of above.

The Problem Statement: The client for whom I was doing project consulting had an ad-hoc requirement to extract the names of doctors and hospitals from a couple of spreadsheets that contain information about various hospitals and medical centers. This data was crucial for them to identify the doctors and hospitals/clinics that their clients frequent to access client medical records from them. So even though most of my experience was with wrangling data in a relational database, I decided to give it a go as most of the team was having limited bandwidth at the time. However, there was one, very sticky issue, data consistency. There are variations in the way the names are written. Some names are prefixed with titles, such as "Dr." or suffixed with a degree such as “MD”, while others are not. Some had their specializations written after their name while most didn’t. Some names include initials or middle names, while others do not. Additionally, some strings contain multiple doctor names, while others mention only one. It is a similar case with the hospital names, some are separated with commas, sometimes with slashes or a single slash, and in some cases, both the doctor and hospital names are simply written together without any separator. Finally, it is important to ensure that the hospital and medical center names are not extracted as doctor names (or vice versa), which requires distinguishing between them based on their respective patterns and characteristics. The Solution: I felt the easiest way to approach this problem is to use . Regular expressions are powerful tools for pattern matching and can be used to that matches the doctor names in the strings. The pattern can be defined based on the common characteristics of doctor names, such as capitalization, the presence of a title (e.g., Dr.), and the use of initials or middle names. In this solution, I defined a regular expression pattern that matches doctor names based on these characteristics. regular expressions define a pattern However, this does not address the issue of the solution misidentifying a hospital as a physician or vice versa. Therefore it was clear that additionally, I would have to use some kind of such as Spacy or NLTK to be able to differentiate between hospitals and doctors as the health care provider information. Using these tools, hopefully, the solution would be able to parse the strings and identify the names of persons, including the doctors and not mistake them for the organizations i.e. the hospital or clinic names. natural language processing (NLP) tools The tools should also identify other relevant information such as titles (e.g., Dr.) and professions. In this solution, I used model (available in repository) to parse the strings and identify the names of persons and professions. Although the code that generated used these libraries, it did not provide any information on how to install and execute these libraries. Perhaps it overestimated my capacity as a data analyst!! However, upon further querying ChatGPT, it gave me proper instructions and also occasionally used an archaic tool called (remember that one?), I could get over these obstacles. Spacy's “ en_core_web_trf ” huggingface ChatGPT Google In the final solution, I combined these approaches to extract the doctor names from the strings. First, I used regular expressions to match the doctor names based on their common characteristics, such as capitalization and the presence of a title. Then I used Spacy to identify any additional doctor names that were missed by the regular expression matching and to identify any relevant titles or professions. I had to do some additional coding, such as opening the spreadsheet and reading the data, writing to an output file, etc. But those are simple enough for any entry-level programmer to execute. Hope you find my exploration into ChatGPT as a data analyst tool helpful! ChatGPT was used to enhance code queries and a Grammarly plugin was used for editing. Lead image generated with Stable Diffusion 2.1 using the prompt: “Data extraction”.

How I Extracted Meaningful Information from Inconsistent Data Using ChatGPT

Authors:
(1) Xiaofan Yu, University of California San Diego, La Jolla, California, USA (x1yu@ucsd.edu);
(2) Anthony Thomas, University of California San Diego, La Jolla, California, USA (ahthomas@ucsd.edu);
(3) Ivannia Gomez Moreno, CETYS University, Campus Tijuana, Tijuana, Mexico (ivannia.gomez@cetys.edu.mx);
(4) Louis Gutierrez, University of California San Diego, La Jolla, California, USA (l8gutierrez@ucsd.edu);
(5) Tajana Šimunić Rosing, University of California San Diego, La Jolla, USA (tajana@ucsd.edu). Table of Links Abstract and 1. Introduction 2 Related Work 3 Background on HDC 4 Problem Definition 5 LifeDH 6 Variants of LifeHD 7 Evaluation of LifeHD 8 Evaluation of LifeHD semi and LifeHDa 9 Discussions and Future Works 10 Conclusion, Acknowledgments, and References 9 DISCUSSIONS AND FUTURE WORKS Problem Scale. One limitation of LifeHD is the relative small problem scale (e.g., the image size of CIFAR-100 is restricted to 32x32) due to the essential difficulty of unsupervised lifelong learning problem, including single-pass non-iid data and no supervision. For the same reason, there remains a disparity in accuracy between unsupervised lifelong learning and fully supervised NNs, as substantiated by prior research [13, 54]. In order to scale LifeHD to more challenging applications such as self-driving vehicles, one possible direction is to leverage the pretrained foundation model as a frozen feature extractor in the HDnn framework, which we leave for future investigation. Hyperparameter Tuning. While we recognize that hyperparameters can influence the performance of LifeHD, such an issue is not exclusive to LifeHD, but has persistently been a challenge in machine learning research [7]. In LifeHD, the impact of hyperparameters can be mitigated through pre-deployment evaluation and component co-design. For example, encoding parameters such as 𝑄, 𝑃 can be tuned on similar health monitoring data sources prior to deployment. Meanwhile, the component of cluster HVs merging can increase LifeHD’s resiliency to the novelty detection threshold 𝛾, as a higher quantity of novel clusters can be merged in later stage of learning. Limitations of HDC. HDC serves as the fundamental core of LifeHD. While HDC shows promise with its notable lightweight design, it is burdened by several limitations that remain active areas of research. First, for complex datasets like audio and images, HDC requires a pretrained feature extractor (the HDnn encoding) which may not exist for certain applications. Moreover, akin to any other architecture, HDC vectors face capacity limitations determined by the dimension of HD space, encoding method, and potential noise levels in the input data [56]. Due to these factors, careful evaluation and sometimes manual feature engineering are required to successfully deploy HDC for new applications. Future Works. Although LifeHD focuses on single-device lifelong learning for classification tasks, the method can be extended for other types of tasks and learning settings, such as federated learning and reinforcement learning. We leave the investigation of these topics for future work. This paper is available on arxiv under CC BY-NC-SA 4.0 DEED license. Authors: (1) Xiaofan Yu, University of California San Diego, La Jolla, California, USA (x1yu@ucsd.edu); (2) Anthony Thomas, University of California San Diego, La Jolla, California, USA (ahthomas@ucsd.edu); (3) Ivannia Gomez Moreno, CETYS University, Campus Tijuana, Tijuana, Mexico (ivannia.gomez@cetys.edu.mx); (4) Louis Gutierrez, University of California San Diego, La Jolla, California, USA (l8gutierrez@ucsd.edu); (5) Tajana Šimunić Rosing, University of California San Diego, La Jolla, USA (tajana@ucsd.edu). Authors: Authors: (1) Xiaofan Yu, University of California San Diego, La Jolla, California, USA (x1yu@ucsd.edu); (2) Anthony Thomas, University of California San Diego, La Jolla, California, USA (ahthomas@ucsd.edu); (3) Ivannia Gomez Moreno, CETYS University, Campus Tijuana, Tijuana, Mexico (ivannia.gomez@cetys.edu.mx); (4) Louis Gutierrez, University of California San Diego, La Jolla, California, USA (l8gutierrez@ucsd.edu); (5) Tajana Šimunić Rosing, University of California San Diego, La Jolla, USA (tajana@ucsd.edu). Table of Links Abstract and 1. Introduction Abstract and 1. Introduction 2 Related Work 2 Related Work 3 Background on HDC 3 Background on HDC 4 Problem Definition 4 Problem Definition 5 LifeDH 5 LifeDH 6 Variants of LifeHD 6 Variants of LifeHD 7 Evaluation of LifeHD 7 Evaluation of LifeHD 8 Evaluation of LifeHD semi and LifeHDa 8 Evaluation of LifeHD semi and LifeHDa 9 Discussions and Future Works 9 Discussions and Future Works 10 Conclusion, Acknowledgments, and References 10 Conclusion, Acknowledgments, and References 9 DISCUSSIONS AND FUTURE WORKS Problem Scale. One limitation of LifeHD is the relative small problem scale (e.g., the image size of CIFAR-100 is restricted to 32x32) due to the essential difficulty of unsupervised lifelong learning problem, including single-pass non-iid data and no supervision. For the same reason, there remains a disparity in accuracy between unsupervised lifelong learning and fully supervised NNs, as substantiated by prior research [13, 54]. In order to scale LifeHD to more challenging applications such as self-driving vehicles, one possible direction is to leverage the pretrained foundation model as a frozen feature extractor in the HDnn framework, which we leave for future investigation. Problem Scale. Hyperparameter Tuning. While we recognize that hyperparameters can influence the performance of LifeHD, such an issue is not exclusive to LifeHD, but has persistently been a challenge in machine learning research [7]. In LifeHD, the impact of hyperparameters can be mitigated through pre-deployment evaluation and component co-design. For example, encoding parameters such as 𝑄, 𝑃 can be tuned on similar health monitoring data sources prior to deployment. Meanwhile, the component of cluster HVs merging can increase LifeHD’s resiliency to the novelty detection threshold 𝛾, as a higher quantity of novel clusters can be merged in later stage of learning. Hyperparameter Tuning. Limitations of HDC. HDC serves as the fundamental core of LifeHD. While HDC shows promise with its notable lightweight design, it is burdened by several limitations that remain active areas of research. First, for complex datasets like audio and images, HDC requires a pretrained feature extractor (the HDnn encoding) which may not exist for certain applications. Moreover, akin to any other architecture, HDC vectors face capacity limitations determined by the dimension of HD space, encoding method, and potential noise levels in the input data [56]. Due to these factors, careful evaluation and sometimes manual feature engineering are required to successfully deploy HDC for new applications. Limitations of HDC. Future Works. Although LifeHD focuses on single-device lifelong learning for classification tasks, the method can be extended for other types of tasks and learning settings, such as federated learning and reinforcement learning. We leave the investigation of these topics for future work. Future Works. This paper is available on arxiv under CC BY-NC-SA 4.0 DEED license. This paper is available on arxiv under CC BY-NC-SA 4.0 DEED license. available on arxiv

Lifelong Intelligence Beyond the Edge using Hyperdimensional Computing: Discussions and Future Works

Lifelong Intelligence Beyond the Edge using Hyperdimensional Computing: Evaluation of LifeHD

Microsoft WordPad, launched in 1995 as a word processor for basic file editing and formatting, is finally being removed from all editions of Windows, starting with Windows 11, version 24H2, and Windows Server 2025. The exact reason behind this removal is unclear, but Microsoft stated that most of its features, including new ones, have been added to  Notepad, which is more feature-rich than WordPad and allows users to transition seamlessly. However, many users didn’t agree, given the fact that WordPad offers more features than any plain text editor, including support for ODF and RTF file formats without requiring additional installation. Look, there could be many more reasons why users might need the WordPad back, but if the built-in support for ODF and RTF file formats is one reason, then note that you can open and edit these files using Microsoft Word, LibreOffice, or OnlyOffice. Moreover, if there is any other reason you want the original WordPad  back on your Windows 11 and 10 system, then read the entire article to  learn how to install WordPad on Windows 11 and 10 in the right way. How to Install WordPad on Windows 11, 10 Winaero  is a popular website that focuses on providing high-quality free apps,  themes, and tutorials for Windows. It’s a trusted site that has been serving millions of users since 2011. It offers the original WordPad package without any tampering and  supports both 32-bit and 64-bit systems. If you dislike the app after  installation, you can quickly remove it using the uninstaller. I’ve tried and tested it on my Windows 11 system, and to be frank, it  ran just like any other Windows built-in app; to be honest, I kind of  liked it—it gives you a nostalgic, childlike feeling. To quickly install WordPad on Windows 11 and 10, follow these instructions. First, download the WordPad installer for Windows 11 and 10.


Once the download is complete, go to the download folder, extract the compressed file, and double-click the extracted file to open the setup wizard (approve the UAC prompt).


When the setup wizard opens, continue by clicking “Next.“ Next, it displays the default installation location; I recommend not changing it and continuing by clicking “Next.“ Here, it will ask whether to install WordPad for the current user or for all users. If you want to install it only for yourself, select the “For the current user only” option. Otherwise, leave the options unchanged, and continue by clicking “Next.“ Finally, click “Install” to start the WordPad installation. The installation will be completed within 3 to 4 seconds. Once the installation is complete, the final finish window will appear, where you can select the “Run WordPad” option to open WordPad immediately after clicking “Finish.“ You can now enjoy WordPad on your Windows 11 and 10 systems. How to Uninstall WordPad on Windows 11, 10 To uninstall WordPad, from Windows 11 and 10, open “Settings“, go to “Apps“, then “Installed apps“, find “WordPad” in the list, click the three dots next to it, and choose “Uninstall” from the menu. Wrap Up WordPad has been closest to the hearts of most of the Windows users, including myself. It was one of the first or second Windows apps  introduced to me during my childhood. Hearing about its removal left me unaffected, as I have since transitioned to many more advanced editors  over the years. However, while writing this article, I installed and used WordPad for a while, which sparked nostalgic memories from my childhood and created a heartwarming feeling. If you’re a WordPad enthusiast, I hope you found this article useful. Microsoft WordPad , launched in 1995 as a word processor for basic file editing and formatting, is finally being removed from all editions of Windows, starting with Windows 11, version 24H2, and Windows Server 2025. Microsoft WordPad The exact reason behind this removal is unclear, but Microsoft stated that most of its features, including new ones, have been added to  Notepad, which is more feature-rich than WordPad and allows users to transition seamlessly. However, many users didn’t agree, given the fact that WordPad offers more features than any plain text editor, including support for ODF and RTF file formats without requiring additional installation. Look, there could be many more reasons why users might need the WordPad back, but if the built-in support for ODF and RTF file formats is one reason, then note that you can open and edit these files using Microsoft Word , LibreOffice , or OnlyOffice . Microsoft Word LibreOffice OnlyOffice Moreover, if there is any other reason you want the original WordPad  back on your Windows 11 and 10 system, then read the entire article to  learn how to install WordPad on Windows 11 and 10 in the right way. How to Install WordPad on Windows 11, 10 Winaero is a popular website that focuses on providing high-quality free apps,  themes, and tutorials for Windows. It’s a trusted site that has been serving millions of users since 2011. Winaero It offers the original WordPad package without any tampering and  supports both 32-bit and 64-bit systems. If you dislike the app after  installation, you can quickly remove it using the uninstaller. I’ve tried and tested it on my Windows 11 system, and to be frank, it  ran just like any other Windows built-in app; to be honest, I kind of  liked it—it gives you a nostalgic, childlike feeling. To quickly install WordPad on Windows 11 and 10, follow these instructions. First, download the WordPad installer for Windows 11 and 10. Once the download is complete, go to the download folder, extract the compressed file, and double-click the extracted file to open the setup wizard (approve the UAC prompt). When the setup wizard opens, continue by clicking “Next.“ First, download the WordPad installer for Windows 11 and 10. First, download the WordPad installer for Windows 11 and 10. download the WordPad installer Once the download is complete, go to the download folder, extract the compressed file, and double-click the extracted file to open the setup wizard (approve the UAC prompt). Once the download is complete, go to the download folder, extract the compressed file, and double-click the extracted file to open the setup wizard (approve the UAC prompt). When the setup wizard opens, continue by clicking “Next.“ When the setup wizard opens, continue by clicking “ Next. “ Next. Next, it displays the default installation location; I recommend not changing it and continuing by clicking “Next.“ Next, it displays the default installation location; I recommend not changing it and continuing by clicking “ Next. “ Next. Here, it will ask whether to install WordPad for the current user or for all users. If you want to install it only for yourself, select the “For the current user only” option. Otherwise, leave the options unchanged, and continue by clicking “Next.“ Here, it will ask whether to install WordPad for the current user or for all users. If you want to install it only for yourself, select the “ For the current user only ” option. Otherwise, leave the options unchanged, and continue by clicking “ Next. “ For the current user only Next. Finally, click “Install” to start the WordPad installation. Finally, click “ Install ” to start the WordPad installation. Install The installation will be completed within 3 to 4 seconds. Once the installation is complete, the final finish window will appear, where you can select the “Run WordPad” option to open WordPad immediately after clicking “Finish.“ Once the installation is complete, the final finish window will appear, where you can select the “ Run WordPad ” option to open WordPad immediately after clicking “ Finish. “ Run WordPad Finish. You can now enjoy WordPad on your Windows 11 and 10 systems. You can now enjoy WordPad on your Windows 11 and 10 systems. How to Uninstall WordPad on Windows 11, 10 To uninstall WordPad, from Windows 11 and 10, open “ Settings “, go to “ Apps “, then “ Installed apps “, find “ WordPad ” in the list, click the three dots next to it, and choose “ Uninstall ” from the menu. Settings Apps Installed apps WordPad Uninstall Wrap Up WordPad has been closest to the hearts of most of the Windows users, including myself. It was one of the first or second Windows apps  introduced to me during my childhood. Hearing about its removal left me unaffected, as I have since transitioned to many more advanced editors  over the years. However, while writing this article, I installed and used WordPad for a while, which sparked nostalgic memories from my childhood and created a heartwarming feeling. If you’re a WordPad enthusiast, I hope you found this article useful.

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