投稿時間:2021-04-13 03:15:41 RSSフィード2021-04-13 03:00 分まとめ(22件)

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IT	気になる、記になる…	米Microsoft、｢Surface｣の新製品の登場を示唆する動画を公開	https://taisy0.com/2021/04/13/138866.html	surface	2021-04-12 17:31:26
IT	気になる、記になる…	Microsoft、AIや音声認識手がけるNuanceの買収を正式発表	https://taisy0.com/2021/04/13/138862.html	microsoft	2021-04-12 17:03:14
AWS	AWS Machine Learning Blog	AWS and NVIDIA to bring Arm-based instances with GPUs to the cloud	https://aws.amazon.com/blogs/machine-learning/aws-and-nvidia-to-bring-arm-based-instances-with-gpus-to-the-cloud/	AWS and NVIDIA to bring Arm based instances with GPUs to the cloudAWS continues to innovate on behalf of our customers We re working with NVIDIA to bring an Arm processor based NVIDIA GPU accelerated Amazon Elastic Compute Cloud Amazon EC instance to the cloud in the second half of This instance will feature the Arm based AWS Graviton processor which was built from the ground up by AWS …	2021-04-12 17:01:48
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	Laravel: バリデーションの際にプルダウンメニューの値を維持したい。	https://teratail.com/questions/332907?rss=all	Laravelバリデーションの際にプルダウンメニューの値を維持したい。	2021-04-13 02:29:47
海外TECH	Ars Technica	Google is killing the Google Shopping app	https://arstechnica.com/?p=1756248	interface	2021-04-12 17:02:35
海外TECH	DEV Community	I need some advice on Freelancing	https://dev.to/leviathanprogramming/i-need-some-advice-on-freelancing-c0m	I need some advice on FreelancingHello everyone I am going to start freelancing soon and would like some advice on it and an answer for my question below I am a fifteen year old fullstack developer and I m going to be starting to actually put my skills to use starting with making free websites for people and then charging little y little until I get much better Do you charge your customers for a domain name My question is Do you buy a domain name yourself and then charge your customer for it If you buy the domain for them and link it to the website you can get a higher control level over it and can manage it in case something goes wrong If your customer buys it they might not be able to link it properly and might not set it up properly Linking domains was a very difficult task for me at first Also I d appreciate some advice on freelancing if you have any Thanks	2021-04-12 17:38:43
海外TECH	DEV Community	Demystifying Time Complexity & Big O Notation	https://dev.to/theinsightfulcoder/demystifying-time-complexity-big-o-notation-2f20	Demystifying Time Complexity amp Big O NotationOne of the most important concepts in software development is analysing the time complexity of an algorithm In technical interviews you d often find interviewers asking What s the time complexity of this algorithm or Can you improve the time complexity If you ve no idea what time complexity means or what the fuss about Big O is all about stick till the end to find out What is Time Complexity Time complexity is the time taken by an algorithm as a function of the length of the input In short it tells the running time or performance of a program as the size of the input is varied Why do we need to understand Time Complexity Time complexity helps us to determines the scalability of an algorithm Suppose you re at a party and you want to use an Instagram filter to capture the joyous occasion Alas the filter takes years to load Your smiles turn into a frown as your mood gets ruined So much for a party huh As a developer it is necessary to understand which is the most efficient and optimised method to use in an application How to compare the time complexity of an algorithm Let us take an example to understand this problem Ali and Jack were given a task to write a program to find the sum of n numbers Jack is a very hardworking guy who has mastered the fundamentals of a programming language He doesn t pay attention to anything except programming Here s how he coded the program int n sum for int i i lt n i sum sum i System out println sum Ali was smart He focused on every subject in school and solved problems in a jiffy When Ali was granted the same problem he chuckled and used Mathematics to his aid Here s how Ali built his program int n System out println n n As you see from the above scenario Ali was much more efficient as he avoided the shackles of using a loop to calculate his answer If the size of the input increases Jack s program will start to freeze and eventually int will overflow to present the wrong answer Ali s magical line saves time and gives the right answer even for larger numbers What is Big O Image Source BigOCheatSheetBased on logic we have understood time complexity and its comparison but we need something very distinct to compare the performance of different algorithms If we start comparing the different type of sorting techniques by logic it would get real tedious for our brain to execute the complexity of our problem To optimise this there s a superhero called the Big O As per Wikipedia Big O or asymptotic notation is a mathematical function that describes the limiting behaviour of a function when the argument tends towards a particular value or infinity Big O basically tells us the time complexity in mathematical terms which can be easily compared Our superhero Big O comes in different forms and sizes I ll introduce you to them right away Understanding O O n stands for constant time complexity O represents that no matter the size of the input it takes the same amount of time to execute For example int b System out println b No matter the length of the array the program will require one unit constant time Understanding O n O n stands for linear time complexity Linear represents the time takes by the algorithm is directly proportional to the size of the input One of the most famous examples is the Linear Search algorithm In linear search we iterate over each element of the loop until we find a match In the best case scenario the element could be present in the first position itself thus effectively reducing the time complexity to O as seen above On the other hand if the element is present at the end of the array or not at all the loop has to iterate over all the elements in the array Hence the time complexity increases to O n int a n for int i i lt n length i if n i a System out println Found break Note If there are two for loops in a program the effective time complexity is still considered as O n and not O n We typically ignore the constants in front of the variables in such cases because they both still represent a linear function Understanding O logn O logn also known as logarithmic time complexity denotes the time taken by the program to execute is proportional to the logarithm of the size of the input The most famous example of this is the Binary Search algorithm Let s suppose the worst case scenario in the Binary search algorithm We keep on halving our search array until we find the element or realise it is not present In an array of elements it will take maximum of iterations log to execute If there are million elements it ll take just iterations This makes Binary Search so much more powerful than Linear Search int arr int l r arr length while l lt r int m l r l if arr m x return m if arr m lt x l m else r m Understanding O n O n is also known as Quadratic time complexity It represents that input is proportional to the square of the size of the input It is most commonly seen in Bubble sort Insertion sort and Patterns Nested loops are an easy way to identify the O n complexity As the number of nested loops increases so does the power for int i i lt i for int j j lt i j System out print j System out println Note If there are instances of multiple nested loops of different orders only the highest power will contribute to time complexity For example if T n n n n The time complexity will be Cubic O n Understanding O n O n represents the exponential function It is opposite to the logarithmic function This mostly occurs in the case of Recursive functions like recursive calculation of Fibonacci numbers Another famous example of this complexity is the Hanoi Tower Problem void solve hanoi int N string from peg string to peg string spare peg if N lt return if N gt solve hanoi N from peg spare peg to peg print move from from peg to to peg if N gt solve hanoi N spare peg to peg from peg Program Source Stack Overflow Understanding O n O n represents that the time complexity is the function of n factorial This is the costliest it can get One of the most classic examples is the Travelling Salesman Problem Another example of O n is given below const nFacRuntimeFunc n gt for let i i lt n i nFacRuntimeFunc n You should at all costs avoid the O n complexity Let s Recap O Constant time complexity Best O n Linear time complexityO log n Logarithmic time complexityO n Quadratic time complexityO n Exponential time complexityO n Factorial time complexity Worst Valuable Resource Big O CheatsheetOur superhero deserves a website of his own I stumbled upon this website called the BigOCheatSheet com made by Eric It contains an amazing comparison of the time complexity for different data structures and array sorting elements In today s world people are learning various frameworks libraries amp technologies without learning time complexity or Data Structures amp Algorithms DSA If you ask any developer working in the top MNC s they ll advise you to master the fundamentals and learn DSA as it greatly helps in problem solving and writing efficient code With that said I hope our superhero continues to be our guardian angel forever Cheers	2021-04-12 17:12:45
Apple	AppleInsider - Frontpage News	Will Smith withdraws 'Emancipation' filming from Georgia over voting law	https://appleinsider.com/articles/21/04/12/will-smith-withdraws-emancipation-filming-from-georgia-over-voting-law	Will Smith withdraws x Emancipation x filming from Georgia over voting lawApple TV movie Emancipation will no longer be filmed in Georgia as producer and star Will Smith plus director Antoine Fuqua protest against the state s new and more restrictive voting law Emancipation director Antoine Fuqua left and star producer Will Smith right Apple CEO Tim Cook has previously spoken out against Georgia s new law limiting access to voting and now an Apple TV production is withdrawing from the state Emancipation which Apple reportedly bought for million is now looking for an alternative state to film in Read more	2021-04-12 17:02:09
海外TECH	Engadget	NVIDIA unveils pro-level Ampere GPUs for workstations	https://www.engadget.com/nvidia-rtx-a5000-pro-gpus-170051401.html	NVIDIA unveils pro level Ampere GPUs for workstationsNVIDIA isn t letting gamers have all the fun Today at its GTC conference the company announced its next round of professional focused graphics cards based on the Ampere architecture first scene with its RTX series GPUs	2021-04-12 17:00:51
海外ニュース	Japan Times latest articles	Virus variants could propel fourth wave to new heights as Japan’s cities clamp down	https://www.japantimes.co.jp/news/2021/04/12/national/coronavirus-variants-tokyo-osaka/	Virus variants could propel fourth wave to new heights as Japan s cities clamp downA significant increase in testing and genomic screening would better reveal the spread of virus variants but experts question the country s ability and willingness to	2021-04-13 02:14:32
海外ニュース	Japan Times latest articles	60% dissatisfied with Japan’s COVID-19 vaccine rollout, poll shows	https://www.japantimes.co.jp/news/2021/04/12/national/coronavirus-surveys-suga-vaccines/	dissatisfied with Japan s COVID vaccine rollout poll showsIn the poll said they felt anxious about a resurgence of COVID infections with disapproving of the government s handling of the pandemic	2021-04-13 03:19:07
海外ニュース	Japan Times latest articles	For Suga and LDP, worries build over Hiroshima poll in election year	https://www.japantimes.co.jp/news/2021/04/12/national/politics-diplomacy/ldp-hiroshima-by-election/	For Suga and LDP worries build over Hiroshima poll in election yearA vote buying scandal that forced the resignation of the previous representative has rocked the local political establishment and sparked voter anger	2021-04-13 02:49:20
海外ニュース	Japan Times latest articles	Japan celebrates after Hideki Matsuyama’s historic Masters triumph	https://www.japantimes.co.jp/sports/2021/04/12/more-sports/golf/japan-celebrates-masters-triumph/	yoshihide	2021-04-13 03:58:47
海外ニュース	Japan Times latest articles	Tigers hit ground running as Teruaki Sato continues to excite	https://www.japantimes.co.jp/sports/2021/04/12/baseball/japanese-baseball/tigers-hit-ground-running/	Tigers hit ground running as Teruaki Sato continues to exciteLet s all stand back for a minute and marvel at Teruaki Sato The Hanshin Tigers rookie is just games into his career and already among	2021-04-13 03:47:06
海外ニュース	Japan Times latest articles	Japan names swimming team for Tokyo Olympics	https://www.japantimes.co.jp/sports/2021/04/12/olympics/summer-olympics/olympics-swimming/japan-names-swimming-team/	daiya	2021-04-13 03:28:51
海外ニュース	Japan Times latest articles	The dangerously flawed U.S. Senkakus policy	https://www.japantimes.co.jp/opinion/2021/04/12/commentary/japan-commentary/senkakus-u-s-china/	The dangerously flawed U S Senkakus policyEarlier this week Kyodo News dropped a bombshell pun intended by introducing the contents of declassified U S documents that the U S government turned down a	2021-04-13 02:00:57
ニュース	BBC News - Home	Covid lockdown eases: Celebrations as pub gardens and shops reopen	https://www.bbc.co.uk/news/uk-56710858	street	2021-04-12 17:44:41
ニュース	BBC News - Home	Baroness Shirley Williams: Former cabinet minister dies aged 90	https://www.bbc.co.uk/news/uk-politics-56720985	baroness	2021-04-12 17:48:26
ニュース	BBC News - Home	Greensill: Government to investigate David Cameron's lobbying	https://www.bbc.co.uk/news/uk-politics-56720141	cameron	2021-04-12 17:31:54
ニュース	BBC News - Home	In pictures: Shoppers and gym-goers enjoy lockdown easing	https://www.bbc.co.uk/news/in-pictures-56716598	england	2021-04-12 17:01:07
ニュース	BBC News - Home	Covid-19 in the UK: How many coronavirus cases are there in your area?	https://www.bbc.co.uk/news/uk-51768274	cases	2021-04-12 17:02:52
ニュース	BBC News - Home	Covid vaccine: How many people in the UK have been vaccinated so far?	https://www.bbc.co.uk/news/health-55274833	covid	2021-04-12 17:22:41