投稿時間:2022-08-13 08:32:39 RSSフィード2022-08-13 08:00 分まとめ(35件)

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IT	ITmedia 総合記事一覧	[ITmedia ビジネスオンライン] 学びになる「工場見学」ランキング　3位「元祖食品サンプル屋」、2位「JAL」、1位は？	https://www.itmedia.co.jp/business/articles/2208/13/news008.html	itmedia	2022-08-13 07:30:00
IT	ITmedia 総合記事一覧	[ITmedia PC USER] ELSAの黒箱RTX 3060搭載カードが5.3万円――特価よりも目立つスポットな新製品も	https://www.itmedia.co.jp/pcuser/articles/2208/13/news046.html	itmediapcuserelsa	2022-08-13 07:30:00
AWS	AWS	Wavebreak Media Optimizes Creative Studio Storage and Workflow with AWS Cloud	https://www.youtube.com/watch?v=IkUDZp1RJw8	Wavebreak Media Optimizes Creative Studio Storage and Workflow with AWS CloudWavebreak Media specializes in producing high quality videos photos graphics and end user applications such as Design Wizard which offers video graphic design templates With a portfolio of more than videos and million images media storage is a crucial aspect of their operations To solve its storage and workflow challenges learn why Wavebreak Media turned to AWS for cloud based solutions Learn more at Subscribe More AWS videos More AWS events videos ABOUT AWSAmazon Web Services AWS is the world s most comprehensive and broadly adopted cloud platform offering over fully featured services from data centers globally Millions of customers ーincluding the fastest growing startups largest enterprises and leading government agencies ーare using AWS to lower costs become more agile and innovate faster SmallMediumBusiness AWS AmazonWebServices CloudComputing	2022-08-12 22:20:38
AWS	AWS	Urmet Undergoes Rapid Development Powered by Cloud Migration and Integration with AWS	https://www.youtube.com/watch?v=rAda7JLZMZQ	Urmet Undergoes Rapid Development Powered by Cloud Migration and Integration with AWSUrmet is an Italian company that specializes in vertical communication products and services for residential and industrial buildings Their mission is making homes and buildings smart and secure so that buildings can interact and communicate easily with people Their approach to the challenge of modernization is creating easy to use digital services around Urmet s products such as video surveillance systems home automation systems telephone systems with multimedia and video integration Learn how their desire to drive value and modernization through digital transformation brought them to choose AWS Learn more at Subscribe More AWS videos More AWS events videos ABOUT AWSAmazon Web Services AWS is the world s most comprehensive and broadly adopted cloud platform offering over fully featured services from data centers globally Millions of customers ーincluding the fastest growing startups largest enterprises and leading government agencies ーare using AWS to lower costs become more agile and innovate faster SmallMediumBusiness AWS AmazonWebServices CloudComputing	2022-08-12 22:20:34
AWS	AWS	StellarAlgo Taps Into the Value of Sports Fan Data using AWS Cloud	https://www.youtube.com/watch?v=xm_U4tvZ49k	StellarAlgo Taps Into the Value of Sports Fan Data using AWS CloudStellarAlgo is a customer cloud platform for the sports and live audience industry with a goal to help its customers analyze and leverage data for better and more informed business decisions By pairing analytics knowledge with domain knowledge in the entertainment and sports industry StallarAlgo provides its customers the opportunity to create measurable returns through aggregating fan data Their primary challenge has been to adapt and scale as fan data has evolved Learn how they now drive analytical power and innovation with the help of AWS Learn more at Subscribe More AWS videos More AWS events videos ABOUT AWSAmazon Web Services AWS is the world s most comprehensive and broadly adopted cloud platform offering over fully featured services from data centers globally Millions of customers ーincluding the fastest growing startups largest enterprises and leading government agencies ーare using AWS to lower costs become more agile and innovate faster SmallMediumBusiness AWS AmazonWebServices CloudComputing	2022-08-12 22:20:29
AWS	AWS	Sahyadri Hospitals Leverages AWS Cloud Services for a Better Patient Experience	https://www.youtube.com/watch?v=djwuItfAjDo	Sahyadri Hospitals Leverages AWS Cloud Services for a Better Patient ExperienceSahyadri Hospitals is a multi specialty chain headquartered in Pune India WIth a network of eight hospitals across three different cities they provide care in neurosciences hematology oncology cardiology orthopedics In vitro fertilization IVF pediatrics otolaryngology ophthalmology nephrology urology and more The hospital network also has a large lab business with more than retail points Not having a centralized way to see data from all eight hospitals presented various problems for the Sahyadri network Learn how they are empowering the future of modern healthcare with the help of AWS Cloud Learn more at Subscribe More AWS videos More AWS events videos ABOUT AWSAmazon Web Services AWS is the world s most comprehensive and broadly adopted cloud platform offering over fully featured services from data centers globally Millions of customers ーincluding the fastest growing startups largest enterprises and leading government agencies ーare using AWS to lower costs become more agile and innovate faster SmallMediumBusiness AWS AmazonWebServices CloudComputing	2022-08-12 22:20:24
AWS	AWS	Ryde Changes the Future of Transportation with AWS Cloud-BasedTechnologies	https://www.youtube.com/watch?v=wgihqDruR40	Ryde Changes the Future of Transportation with AWS Cloud BasedTechnologiesRyde is a scooter sharing and micro mobility company based in Oslo Norway with the goal to create innovative transportation solutions for congested cities Like ride sharing scooter sharing is executed primarily through a mobile application and generates a lot of data Ryde needed a technology solution that would enable the company to manage the influx of data it anticipates will come with the company s forecasted growth Learn why partnering with a local AWS team well versed in market leading best practices on their new infrastructure was their best decision Learn more at Subscribe More AWS videos More AWS events videos ABOUT AWSAmazon Web Services AWS is the world s most comprehensive and broadly adopted cloud platform offering over fully featured services from data centers globally Millions of customers ーincluding the fastest growing startups largest enterprises and leading government agencies ーare using AWS to lower costs become more agile and innovate faster SmallMediumBusiness AWS AmazonWebServices CloudComputing	2022-08-12 22:20:19
海外TECH	DEV Community	Algorithms: Time And Space Complexity	https://dev.to/m13ha/algorithms-time-and-space-complexity-4m1i	Algorithms Time And Space ComplexityThe concept of time and space is one I struggled to wrap my head around at first but I prevailed and in this article I m going to do my best to share my understanding of these concepts with you We will cover Big O notation the most common types of time and space complexity and of course what time and space complexity mean What is Time Complexity Time complexity is not only about seconds minutes or hours the goal of time complexity is efficiency Time complexity refers to how time efficient a data structure or algorithm is as its input data it is working on approaches infinity Company A finds houses for people it always takes the company a day to find houses for all its customers it doesn t matter how many customers it has each day or they all get their homes in a day Company B does the same thing but they can get you a house in hours Each customer they get in a day increases the wait time by hours customers are hours customers are hours Which company is more efficient company A has shown that regardless of input size the results will be given after hours a day company B on the other hand increases wait time with an increase in the input size This is why time complexity is so valuable for programming if we look at the companies A and B as algorithms we can say that when input size lt company B is more efficient but when input size gt company A is far more efficient In a situation where we know the input size will never be greater than company B is the best option but when we don t know or we expect the input size to be greater than company A is a better choice in the long run The purpose of checking time complexity is not to determine which algorithm is better than the other but which algorithm is better for which situation What is Space Complexity Jeff and Bob are both given the task of sorting a box of coloured cubes Each box has different coloured cubes mixed up and their task is to sort them so the cubes are layered by colour and not mixed up Jeff s way of sorting is by grabbing another new box and putting all cubes of one colour in that box first before inserting the other coloured cubes on top Bob s way of sorting is by taking out all the cubes in the box and rearranging and returning them by colour so they are arranged Space complexity asks the question How much memory does an algorithm take when doing its task In the early days of computer programming memory was very limited in availability so programmers had to write code that was as efficient as possible with the available memory If we look at Jeff and Bob s approach to sorting as algorithms if Jeff is given boxes to sort he s going to need new boxes boxes will require new boxes that s a lot of boxes Bob on the other hand doesn t need any new boxes in order to sort his boxes In a situation where memory is limited algo Bob will be more efficient Space complexity has to do with understanding the memory requirements and efficiency of algorithms Big O NotationNow that we have an understanding of what time and space complexity are how do we find the time and space complexity of ours and other people s algorithms we need a way to convey the time and space efficiency of algorithms that is easily understood this is what Big O Notation does “Big O notation is a mathematical notation that describes the limiting behaviour of a function when the argument tends towards a particular value or infinity It is a member of a family of notations invented by Paul Bachmann Edmund Landau and others collectively called Bachmann Landau notation or asymptotic notation wikipediaBig O Notation is a way of expressing how the time and space efficiency of an algorithm changes with the size of its input There are a lot of different Big O notations that convey the time and space complexity of algorithms but in this article we are going to focus on the most common notations and what they mean Constant O Big O of also known as constant complexity is used to denote algorithms that are not affected by increases in the input size An example of this is company A which gets its customers a house in hours regardless of how many customers it gets in a day Algorithms with a time or space complexity of O are considered the best and most efficient function firstIndex array return array The above code is an algorithm with a time complexity of O no new arrays are created and the size of the array does not matter when we only return the first index of the array Logarithmic O LogN Big O of Log n also known as logarithmic complexity is considered the best complexity after constant Imagine we have another housing company C at company C it takes hours to find a home for customer hours for customers hours for customers and hours for customers this is how logarithmic complexity works In logarithmic complexity the cost in time or space increases slower than the input size Specifically the cost of time or space is logN where N is the size of the input An example of an algorithm with logarithmic time complexity is a binary search Linear O N Big O of N also known as linear complexity is the next acceptable complexity after logarithmic Algorithms with a linear complexity increase in the cost of time or space as the size of the input increases housing Company B is a good example of linear time complexity as the wait time increases with the number of customers function printAll array for let i i lt array length i console log array i The above code is an example of an algorithm with linear time complexity Quadratic O N Big O of N squared also known as quadratic complexity refers to an algorithm whose cost of time or space efficiency is equal to the size of the input squared Imagine you wanted to throw a party and invite people and tell each of them to bring enough food for people you d have enough food for people that s how quadratic complexity works An example of an algorithm with a quadratic time complexity is a nested loop shown below function party array for let i i lt array length i for let j j lt array length j console log array i Exponential O N Big O of to the power of N also known as exponential complexity In an algorithm with exponential time complexity for every additional increase in the input size the cost in time grows exponentially A pizza restaurant has several toppings to choose from pepperoni chilli peppers and pineapple Customers may choose any combination of toppings or none at all for their pizza Now consider an algorithm that finds every possible unique combination of toppings This is an exponential algorithm with time complexity O n Look how the possible combinations grow exponentially when you add a new topping to the menu toppings combination no toppings at all toppings combinations none a toppings combinations none a b ab toppings combinations none a b c ab ac bc abc toppings combinations toppings combinationsSo with just types of toppings there are over million possible combinations stack overflow Factorial O N Big O of N factorial also known as factorial complexity is the worst efficiency an algorithm can have algorithms with factorial time complexity should be avoided if possible Say we have an algorithm that takes a string and creates as many different strings as possible from the characters of the original string if we have a string with characters ab we can make different strings ab and ba watch how the number of possible strings grows as we add a new character to the original string createNewStrings ab ab ba n f n createNewStrings abc abc acb bac bca cab cba n f n createNewStrings abcd abcd abdc acbd acdb adbc adcb bacd n f n createNewStrings abcde abcde abced abdce abdec abecd abedc acbde n f n A string with characters will result in different strings which is the same as multiplying or Using a string with characters would result in over Million different strings Factorial algorithms are highly inefficient both time and space wise which is why they have the worst efficiency for algorithms Calculating Time And Space ComplexityCalculating the time and space complexity can be done easily by following these simple rules Ignore constants The worst part of the algorithm determines the complexity of the whole algorithm Let s look at a couple of algorithms to understand what this means function printAll array for let i i lt array length i console log array i will execute array length or O n times return array will execute only once O In the above function the overall efficiency of the algorithm is impacted by the loop we could technically say that the Big O notation for the whole function is O n which would be correct but is not necessary because as the size of n approaches infinity that additional is negligible so it s better to evaluate the time complexity of the function as O n function partyPlus array for let i i lt array length i console log array i O n for let i i lt array length i console log array i O n for let i i lt array length i for let j j lt array length i console log array i O n The above function has loops and a nested loop is we follow the second rule that would mean the function will have a time complexity of O n because the nested loop has the highest cost in efficiency and as the value of the array increase the additional cost of the other loops will become negligible ConclusionTime and Space complexity is something all developers should have an understanding of because it teaches us to write code that is not just effective but also efficient if like to learn about the time and space complexity of different algorithms check out Big O cheat sheet If you would like to learn more about Big O notation check out this awesome easy to understand video Thanks for reading and a wonderful day ️	2022-08-12 22:43:51
海外TECH	DEV Community	I got my first Pull Request merged!	https://dev.to/jhhornn/i-got-my-first-pull-request-merged-3ei9	I got my first Pull Request merged Words cannot express my joy when I got the notification about the merge above and I owe it ample time to my current school of Engineering AltSchool Africa Before now I ve been introduced to open source many times told about the importance in the tech space and even attended open source conferences e g OSCAFest I have all the instant excitement to want to start but imposter syndrome sets in on opening GitHub to create something Fast forward to Monday the th of August when I watched Bolaji s video on contributing to open source I felt pumped again but I wanted to apply what I learned so I noted some steps The StepsI made up my mind I was going to contribute to a project was focused on a site good first issue to pick my first project from which I filtered to suit my skill level I kept opening the next page till I found one I made sure I was equipped with the required git and github knowledge to get the project done The ProjectAfter long hours searching for projects I finally found one titled Ensure no missing alt attributes I was to give descriptive alt values to images from the site Alt values in images help to improve the accessibility of the site such that screen readers can provide a detailed description of the image to say a visually impaired person Easy right Yes but if I didn t make up my mind to get the first contribution I wouldn t find it and Open source will continue to be a myth to me I was still pumped until I discovered it was from MDN wait same MDN As in Mozilla developer Will they merge my contribution even with how seemingly easy it looks Imposter syndrome sets in Upon checking the issue I saw that people were already contributing I summoned courage and started reading about it Taking my time to read and understand the project and the manner of approaching the issue was another challenge I had to overcome The project is as easy as you try to understand it So I started and I picked two images to begin with I gave alt values to them committed my changes then made a Pull Request The time between when I made the pull request and when I got the approval mail was full of self doubts Should I close the pull request This is MDN ooo Well it s not coding What if I don t get merged I might never contribute again All it took to clear all of the doubts were the emails I got from my reviewer below I was indeed delighted and this spawned me to check for more It gave me the courage I needed to request to solve issues SummaryA few lines I d love you to take home from this article are Open source is for all Do you see that typo on that site you just visited You helping to correct it is a way of contributing No skillset is too small A basic understanding of HTML was what I needed to contribute Only you can stop yourself from contributing The first contribution is all you need to set the ball rolling I hope you have been able to pick something from my story and apply it today This is another space I d like to keep contributing to so see you in my next post and happy open sourcing	2022-08-12 22:04:19
海外科学	NYT > Science	Climate Bill Heads to Biden’s Desk. There Is More to Be Done.	https://www.nytimes.com/2022/08/12/climate/biden-climate-bill-young-activists.html	biden	2022-08-12 22:47:15
金融	金融総合：経済レポート一覧	FX Daily（8月11日）～ドル円、一時131円台後半まで下落	http://www3.keizaireport.com/report.php/RID/506354/?rss	fxdaily	2022-08-13 00:00:00
金融	金融総合：経済レポート一覧	Fundmark Report 2022年8月号 投信評価レポート	http://www3.keizaireport.com/report.php/RID/506355/?rss	fundmarkreport	2022-08-13 00:00:00
金融	金融総合：経済レポート一覧	【国内債券】SDGs債対象銘柄一覧（2022年7月末時点）	http://www3.keizaireport.com/report.php/RID/506356/?rss	野村総合研究所	2022-08-13 00:00:00
金融	金融総合：経済レポート一覧	IMFのFSAP（金融セクター評価プログラム）のレビューについて	http://www3.keizaireport.com/report.php/RID/506357/?rss	日本証券経済研究所	2022-08-13 00:00:00
金融	金融総合：経済レポート一覧	株価上昇に厳しいＦｅｄ CPI 鈍化の先にある障壁：Market Flash	http://www3.keizaireport.com/report.php/RID/506359/?rss	fedcpi	2022-08-13 00:00:00
金融	金融総合：経済レポート一覧	Macbee Planet (東証グロース)～データを活用した分析サービスを提供する成果報酬型マーケティング支援会社。両事業の需要の拡大を見込み、23年4月期以降の成長継続を予想：アナリストレポート	http://www3.keizaireport.com/report.php/RID/506373/?rss	macbeeplanet	2022-08-13 00:00:00
金融	金融総合：経済レポート一覧	7月米消費者物価、市場予想以上に鈍化～米国株式は大幅に上昇：マーケットレポート	http://www3.keizaireport.com/report.php/RID/506375/?rss	三井住友トラスト	2022-08-13 00:00:00
金融	金融総合：経済レポート一覧	メキシコ金融政策（2022年8月）～次回会合での利上げ幅縮小の可能性を示唆：マーケットレター	http://www3.keizaireport.com/report.php/RID/506376/?rss	投資信託	2022-08-13 00:00:00
金融	金融総合：経済レポート一覧	テクニカル分析で考えるドル高・円安トレンドの持続性：市川レポート	http://www3.keizaireport.com/report.php/RID/506378/?rss	三井住友	2022-08-13 00:00:00
金融	金融総合：経済レポート一覧	メキシコ中銀が連続で0.75％の利上げ～ 米FRBに追随、インフレ高止まりを警戒	http://www3.keizaireport.com/report.php/RID/506379/?rss	三井住友	2022-08-13 00:00:00
金融	金融総合：経済レポート一覧	メキシコ中銀、２会合連続の大幅利上げで政策金利は過去最高に～米FRBとの二人三脚を維持せざるを得ないなか、今後の政策対応は厳しさを増す展開も：World Trends	http://www3.keizaireport.com/report.php/RID/506381/?rss	worldtrends	2022-08-13 00:00:00
金融	金融総合：経済レポート一覧	急上昇する投資適格社債の魅力：債券	http://www3.keizaireport.com/report.php/RID/506388/?rss	魅力	2022-08-13 00:00:00
金融	金融総合：経済レポート一覧	ダイバーシティは企業のみならず、投資家にも恩恵をもたらす：責任投資	http://www3.keizaireport.com/report.php/RID/506389/?rss	責任	2022-08-13 00:00:00
金融	金融総合：経済レポート一覧	週刊！投資環境（2022年8月12日号）～インフレピークアウト期待の継続性	http://www3.keizaireport.com/report.php/RID/506403/?rss	投資信託	2022-08-13 00:00:00
金融	金融総合：経済レポート一覧	投資INSIDE-OUT vol.208「中国不動産、資金繰りは大丈夫か！？～巨大市場「中国」の転換点(3)～」	http://www3.keizaireport.com/report.php/RID/506404/?rss	insideoutvol	2022-08-13 00:00:00
金融	金融総合：経済レポート一覧	マンスリー通貨レポート（2022年7月）～為替レートと為替市場における当面のテーマ	http://www3.keizaireport.com/report.php/RID/506406/?rss	為替レート	2022-08-13 00:00:00
金融	金融総合：経済レポート一覧	日本株～上放れのサイン、今後の焦点は売買代金	http://www3.keizaireport.com/report.php/RID/506414/?rss	売買代金	2022-08-13 00:00:00
金融	金融総合：経済レポート一覧	財産の管理、運用および承継と信託に関する研究	http://www3.keizaireport.com/report.php/RID/506434/?rss	研究発表	2022-08-13 00:00:00
海外ニュース	Japan Times latest articles	China’s military drills near Taiwan offer spying opportunity for U.S. and allies	https://www.japantimes.co.jp/news/2022/08/13/world/us-spy-opportunity-china-drills/	China s military drills near Taiwan offer spying opportunity for U S and alliesThe drills provide an opportunity to scrutinize the missiles China would use to drive off foreign militaries intervening in any future invasion	2022-08-13 07:30:59
ニュース	BBC News - Home	Trump search warrant: FBI took top secret documents from Mar-a-Lago	https://www.bbc.co.uk/news/world-us-canada-62527628?at_medium=RSS&at_campaign=KARANGA	france	2022-08-12 22:32:27
ニュース	BBC News - Home	Watford 1-0 Burnley: Tom Cleverley winner preserves Hornets' unbeaten start	https://www.bbc.co.uk/sport/football/62431307?at_medium=RSS&at_campaign=KARANGA	Watford Burnley Tom Cleverley winner preserves Hornets x unbeaten startTom Cleverley s winner helps Watford extend their good start to the season and end Burnley s unbeaten start under Vincent Kompany	2022-08-12 22:19:21
ニュース	BBC News - Home	Transfer rumours: Ziyech, Pulisic, Jorginho, Depay, Hwang, Ndombele, Willian	https://www.bbc.co.uk/sport/62527017?at_medium=RSS&at_campaign=KARANGA	Transfer rumours Ziyech Pulisic Jorginho Depay Hwang Ndombele WillianManchester United want to sign Chelsea s Hakim Ziyech Newcastle could target Christian Pulisic West Ham make big money offer for Memphis Depay plus more	2022-08-12 22:16:58
北海道	北海道新聞	堂安は後半４０分までプレー　サッカーのドイツ１部	https://www.hokkaido-np.co.jp/article/717300/	後半	2022-08-13 07:34:00
北海道	北海道新聞	台風８号、東日本上陸へ　東海で線状降水帯可能性も	https://www.hokkaido-np.co.jp/article/717299/	線状降水帯	2022-08-13 07:34:00
北海道	北海道新聞	メッシが候補外れる　７度受賞のバロンドール	https://www.hokkaido-np.co.jp/article/717298/	受賞	2022-08-13 07:23:00