IT |
気になる、記になる… |
「iOS 16.1 beta」をインストールした「iPhone 14 Pro/14 Pro Max」でGPSが正常に動作しなくなる不具合が報告される |
https://taisy0.com/2022/09/18/162273.html
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iosbeta |
2022-09-17 15:40:30 |
python |
Pythonタグが付けられた新着投稿 - Qiita |
Python3エンジニア認定基礎試験合格までの勉強法 |
https://qiita.com/y-matsunaga/items/e0a9ec28584930cf2b2a
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資格 |
2022-09-18 00:40:42 |
海外TECH |
MakeUseOf |
How to Turn Off Your PS5 Completely |
https://www.makeuseof.com/how-to-turn-off-ps5/
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buttons |
2022-09-17 15:30:14 |
海外TECH |
MakeUseOf |
How to Change the Default Save Location for Files and Folders on Windows 10 & 11 |
https://www.makeuseof.com/windows-change-save-location/
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windows |
2022-09-17 15:15:14 |
海外TECH |
DEV Community |
Every Dev should understand Big O! |
https://dev.to/naubit/every-dev-should-understand-big-o-261l
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Every Dev should understand Big O This section is all about understanding the Big O and Time complexity of algorithms in minutes or less It is a beginner level section so it should not be too difficult to understand Big OBig O notation measures an algorithm s execution efficiency and how much memory it consumes It can be thought of as either its time complexity or space complexity Whenever we talk about Big O and its efficiency measure we are interested in how well an algorithm performs when the size of our input increases Big O helps to distinguish good from bad code and also bad from great codeThe most common time complexity you may have heard of or come across is O n O n O log n and O n log n I will talk about each of these in detail in a little bit O Constant TimeAn algorithm is said to run in constant time if it requires the same amount of time regardless of the input size This algorithm has a time complexity of O O n Linear TimeAlgorithms with a time complexity O n are programmed to have an execution time directly proportional to the input size This notation is also referred to as Linear time The following algorithm has a time complexity of O n where n is the length of the input array Big O Analysis Best Average amp Worst casesBefore we continue to the more basic Big Os it s worth knowing the different cases Best Case Analysis Here we calculate the best or minimum time an algorithm takes to finish Average Case Analysis To calculate the average case of our algorithm we need to be aware of all possible inputs it will receive We then take the time for each use of this input and divide it by the number of inputs Worst Case Analysis Here we calculate the maximum time taken by the algorithm to finish Look at this example Here we have a function that searches for a player named Kane from a list of players It returns true if the player is found else returns false The best case here is that Kane is at the beginning the first element and we need to loop the player list only once The worst case is that Kane instead of being the rd element is now present at the very end or worse not in the list for which our program needs to iterate through every element in the list We only care about worst case scenarios when we re talking about time complexity Maybe you are wondering why Let s say your code performs well on an average input but it takes an unacceptable amount of time for specific inputs As a programmer it is crucial to be aware of such scenarios and work out ways to optimize them or amend the algorithm This is why people only discuss or care about the worst case complexity of your program during interviews O n² The time taken by the algorithm increases exponentially as the number of elements being iterated on n increases So for example if you increase the input by x you might need to wait times as long for your desired output To understand this better consider the following examples As you can see the computation time increases at an exponential pace of n² item second items seconds items secondsTypically but not always nested for loops have a time complexity of O n² Interviews often consider the O n² solution as a brute force approach So it usually means finding much better approaches such as O n log n or even O n is possible O log n To understand this we will first look into the mathematics behind logarithms and then at how they relate to complexity analysis Wikipedia has the following definition for logarithm In mathematics the logarithm is the inverse function of exponentiation That means the logarithm of a given number x is the exponent to which another fixed number the base b must be raised to produce that number x The binary logarithm uses base b and is frequently used in computer science Why base of explained here Now this might be a little hard to understand at first glance so let s try to understand these equations with some examples Now that we ve learned how to calculate log n let s keep increasing N and observe the increase in time complexity log log log log log log …log log M log B Straightforward enough one can see that when input N doubles the time complexity log N increases only by And in comparison to O N you can see how much better O log N performs This time complexity is often found in divide and conquer algorithms which divide the problem into sub problems recursively before merging them again For example Binary Search Merge Sort O N log N etc Some final thoughtsOnce you get a firm grasp on the essential time complexities O n O n² and O log n it is easy to understand other types of complexity like O n³ O n log n O n …and how they work I want to return to the time complexity graph I shared at the beginning of this article Before you leave Understanding Big O is key to progress as a developer since it will help you to understand how to optimize your code since you will be able to calculate its complexity But if you liked the post I post more exciting content in my newsletter you can check it for free here Check Coderpreneurs now Also I like to post engaging content and threads on Twitter so I would recommend following me there too This is my Twitter thenaubit |
2022-09-17 15:36:13 |
海外TECH |
DEV Community |
Whatsapp Portfolio Website |
https://dev.to/dhanushnehru/whatsapp-portfolio-website-3fdo
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Whatsapp Portfolio Website IntroductionA portfolio website provides your information to consumers potential clients and job hires It is the place to showcase your work and let the world know who you are and what you are up to When a potential client HR or anyone visits your portfolio site they should get a feel of your strengths and what you are capable of A good portfolio website will surely replace the old fashioned resumes of job seekers Building a portfolio and keeping it updated helps in this case It also helps us to reconnect with what we have done in the past from a single place We all have a variety of portfolio sites to showcase what we do My love for tech has made me think outside the box to build something unique so I built this whatsapp portfolio site So without much explanation let me showcase my Whatsapp portfolio site whatsapp portfolio dhanushnehru netlify app IdeaI just started this with the idea of replicating the WhatsApp UI where portfolio details of a person can be gotten by chat It is more of how you chat in WhatsApp About the siteMy objective in creating this site is to differ from the normal portfolio sites created and also to showcase something as a unique one Being a full stack developer who has worked mostly on the backend I want to create a portfolio site by myself without any external tutorials By building this whatsapp portfolio site I want to learn something and use it as well The portfolio I built uses the following technologies HTMLCSSJavascript FeaturesAboutSkillsResumeEducationAddressContactProjects Further ImprovementsStill some things to improve like testing browser compatibility updating project links customisation etc I m even thinking about having people fill out a form and converting it into a Whatsapp portfolio for them I would definitely build another static portfolio site to showcase my works directly Do drop your portfolio site below for more inspiration Thanks a lot for reading ️Feel free to subscribe to my newsletter for more updates on this Follow me via Twitter Instagram or Github |
2022-09-17 15:25:53 |
海外TECH |
DEV Community |
Animating React App in Less than a Minute |
https://dev.to/ranjan/animating-react-app-in-less-than-a-minute-43p6
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Animating React App in Less than a Minute Motivation Building any kind of Web app requires Animations to look good we can add Animation by either third party Libs like Framer motion or plain old CSS but problem is all of these options needs us to write a ton of code and define all animation timing and stuff we are going to skip all of those today and use Autoanimate to do the animation for us Introduction Autoanimate is a zero config drop in animation utility that adds smooth transitions to your web app You can use it with React Vue Svelte or any other JavaScript application Installation yarn add formkit auto animatethat s all to install and config Usase Just import autoanimateform formkit auto animate and pass refrence of the parent element using useRef Now all children element will be animated whenever the are added removed or moved import useState useRef useEffect from react import autoAnimate from formkit auto animate const Dropdown gt const show setShow useState false const parent useRef null useEffect gt parent current amp amp autoAnimate parent current parent const reveal gt setShow show return lt div ref parent gt lt strong className dropdown label onClick reveal gt Click me to open lt strong gt show amp amp lt p className dropdown content gt Lorum ipsum lt p gt lt div gt export default Dropdownthat s it your Dropdown is animated you can pass any element s ref and all child Elements will be animated like List as well Customization Autoanimate also provides useAutoAnimate hook to customise animation if we need it App jsximport useState from react import useAutoAnimate from formkit auto animate react const App function const items setItems useState const parent useAutoAnimate duration const add gt setItems items items length return lt gt lt ul ref parent gt items map item gt lt li key item gt item lt li gt lt ul gt lt button onClick add gt Add number lt button gt lt button onClick gt enableAnimations false gt Disable lt button gt lt gt export default Appthis is post is focussed on React it s even easier on Vanilla JS basically you can use this on Virtually any JS project Here is the Link for official Website Cheers |
2022-09-17 15:21:00 |
海外TECH |
DEV Community |
I built a VSCode like Portfolio with React.js |
https://dev.to/noworneverev/i-built-a-vscode-like-portfolio-with-reactjs-43k5
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I built a VSCode like Portfolio with React js Live Demo About The ProjectI built a VSCode like porfolio to practice with React js The project is inspired by Visual Studio Code and caglarturali github io As I used markdown to build pages it s super easy to modify them and write your own contents FeaturesPowered by markdownDark mode and light mode availableClosable tabsCollapsible explorerResponsive web designGoogle analytics supported Installation、Clone the repogit clone 、Install NPM packagesnpm install、Enter your name in env developmentREACT APP NAME lt your name gt 、Add your markdown pages in public pages、Add your routes in src app pages page ts make sure the names of pages are consistent with markdown files export const pages index name overview md route overview index name skills md route skills index name experience md route experience index name education md route education index name projects md route projects index name certificates md route certificates index name accomplishments md route accomplishments 、Runs the app in the development modenpm start、If you would like to deploy your own portfolio don t forget to change Google Analytic measurement id in env productionREACT APP NAME lt your name gt REACT APP MEASUREMENT ID lt your measurement id gt Github Repo LinkAny comment is welcome Thank you |
2022-09-17 15:05:27 |
Apple |
AppleInsider - Frontpage News |
Daily Deals Sept. 17: $150 off Mac Studio, up to 58% off Nanoleaf, $200 off a TCL 65-inch Smart TV, more! |
https://appleinsider.com/articles/22/09/17/daily-deals-sept-17-150-off-mac-studio-up-to-58-off-nanoleaf-200-off-a-tcl-65-inch-smart-tv-more?utm_medium=rss
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Daily Deals Sept off Mac Studio up to off Nanoleaf off a TCL inch Smart TV more Saturday s best deals include off AirPods Pro off a Samsung TB USB SSD and much more Best deals for September Every day AppleInsider searches online retailers to find offers and discounts on items including Apple hardware upgrades smart TVs and accessories We compile the best deals we find into our daily collection which can help our readers save money Read more |
2022-09-17 15:14:29 |
海外TECH |
Engadget |
Apple's second-generation AirPods Pro are on sale ahead of launch day |
https://www.engadget.com/apple-airpods-pro-2022-sale-amazon-152437681.html?src=rss
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Apple x s second generation AirPods Pro are on sale ahead of launch dayIf you plan to purchase Apple s second generation AirPods Pro you should consider buying them from Amazon Ahead of their September rd release date the retailer has priced the earbuds at or less than MSRP It s a modest discount to be sure but it s also not often that you can get new gadgets at release for less than their suggested retail price Buy Apple AirPods Pro at Amazon Engadget hasn t had a chance to review the AirPods Pro yet but the current generation model earned a score of from us in Based on the improvements Apple detailed at its recent iPhone event the new AirPods Pro look like a solid upgrade They feature Apple s new H chip leading to significantly improved active noise cancelation performance and a more functional transparency mode according to the company Additionally they include volume touch controls a feature missing from the first generation model Apple has also improved playtime with a charging case it claims can provide the AirPods Pro with up to hours of battery power Follow EngadgetDeals on Twitter and subscribe to the Engadget Deals newsletter for the latest tech deals and buying advice |
2022-09-17 15:24:37 |
ニュース |
BBC News - Home |
King Charles and Prince William meet people in lying-in-state queue |
https://www.bbc.co.uk/news/uk-62940182?at_medium=RSS&at_campaign=KARANGA
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westminster |
2022-09-17 15:52:39 |
ニュース |
BBC News - Home |
Queen's funeral: 'A small sacrifice to pay' say mourners queuing up |
https://www.bbc.co.uk/news/uk-62941578?at_medium=RSS&at_campaign=KARANGA
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funeral |
2022-09-17 15:41:37 |
ニュース |
BBC News - Home |
Truss-Biden talks before Queen's funeral cancelled |
https://www.bbc.co.uk/news/uk-politics-62930439?at_medium=RSS&at_campaign=KARANGA
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biden |
2022-09-17 15:32:17 |
ニュース |
BBC News - Home |
Chris Kaba: Rally for man shot by police held at Met headquarters |
https://www.bbc.co.uk/news/uk-england-london-62940371?at_medium=RSS&at_campaign=KARANGA
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chris |
2022-09-17 15:52:25 |
北海道 |
北海道新聞 |
台湾南東部でM6・4 台東県の震度6強、全土で揺れ |
https://www.hokkaido-np.co.jp/article/732839/
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中央気象局 |
2022-09-18 00:02:03 |
IT |
週刊アスキー |
巨大な等身大ライザが来場者をお出迎え!TGS2022のコーエーテクモゲームスブースをレポート【TGS2022】 |
https://weekly.ascii.jp/elem/000/004/106/4106010/
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幕張メッセ |
2022-09-18 00:10:00 |
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