投稿時間:2021-11-07 01:18:25 RSSフィード2021-11-07 01:00 分まとめ(23件)

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python	Pythonタグが付けられた新着投稿 - Qiita	エンジニアとして副業をしてわかったこと	https://qiita.com/Nori1117/items/38493fa5f5acb245ca9b	副業ってやっぱ自由に自分の要領でやることが醍醐味かと思っていますので番目にあげたサイトなどを活用して知り合いやメンターを見つけるのが一番です。	2021-11-07 00:17:06
python	Pythonタグが付けられた新着投稿 - Qiita	Amazon Linux 2 で Python3 の環境構築	https://qiita.com/talomina/items/20fd7f1575fe30f9f23a	AmazonLinuxでPythonの環境構築はじめにECでPythonの動作環境を作るための手順です。	2021-11-07 00:05:48
js	JavaScriptタグが付けられた新着投稿 - Qiita	javascript演習　〜１５日目/３０日	https://qiita.com/Qubieeee/items/3c0aed188d83d8ea17f7	javascript演習日目日覚えたことlocalstorageに保存するには文字列に一旦変換する必要がある。	2021-11-07 00:02:15
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	VBAでIEのテキストボックスに値を入力する（yahoo路線）	https://teratail.com/questions/368079?rss=all	VBAでIEのテキストボックスに値を入力するyahoo路線エクセルVBAでIEを自動制御して、ヤフー路線から検索結果を取得するプログラムを作成しようとしています。	2021-11-07 00:30:48
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	out_dirを定義したい	https://teratail.com/questions/368078?rss=all	outdirを定義したい音声ファイルの分割importnbspwaveimportnbspstructfromnbspscipynbspimportnbspfromstringintimportnbspnumpynbspasnbspnpimportnbsposimportnbspmathimportnbspspeechrecognitionnbspasnbspsrimportnbsppandasnbspasnbsppdnbsp一応既に同じ名前のディレクトリがないか確認。	2021-11-07 00:30:06
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	ゼロからやさしくはじめるPythson入門のchapter７をやっているのですが教科書どうりにやっているはずなのにできません	https://teratail.com/questions/368077?rss=all		2021-11-07 00:21:46
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	chartsを使った棒グラフ	https://teratail.com/questions/368076?rss=all	chartsを使った棒グラフを参考に棒グラフを作成しています。	2021-11-07 00:20:15
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	threadがコード3で強制終了してしまう	https://teratail.com/questions/368075?rss=all	thread	2021-11-07 00:19:59
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	UIsegmentedControlの背景色を透明にしたい	https://teratail.com/questions/368074?rss=all	UIsegmentedControlの背景色を透明にしたいUIsegmentedControlの背景色だけ透明にしたいと感がています。	2021-11-07 00:12:34
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	MySQLのインストール後にターミナルから接続できません	https://teratail.com/questions/368073?rss=all	MySQLのインストール後にターミナルから接続できません前提・実現したいことMacを使用しています。	2021-11-07 00:01:14
AWS	AWSタグが付けられた新着投稿 - Qiita	AWS Lightsailで構築したWordPressにAWS CloudFrontでアクセスしてみます	https://qiita.com/ten-hope/items/ab9fa48cacc9edd87607	awslightsail	2021-11-07 00:43:18
AWS	AWSタグが付けられた新着投稿 - Qiita	エンジニアとして副業をしてわかったこと	https://qiita.com/Nori1117/items/38493fa5f5acb245ca9b	副業ってやっぱ自由に自分の要領でやることが醍醐味かと思っていますので番目にあげたサイトなどを活用して知り合いやメンターを見つけるのが一番です。	2021-11-07 00:17:06
海外TECH	MakeUseOf	10 Tips for Customizing and Getting the Most Out of Your iPad Magic Keyboard	https://www.makeuseof.com/ipad-magic-keyboard-tips-and-customization/	Tips for Customizing and Getting the Most Out of Your iPad Magic KeyboardStill getting used to Apple s Magic Keyboard for the iPad or iPad Pro These tips and customizations can help you make the most of it	2021-11-06 15:30:12
海外TECH	DEV Community	All Python Operators	https://dev.to/vadimkolobanov/all-python-operators-2oo9	All Python OperatorsPhoto by Pakata Goh on UnsplashIn this guide we will talk about Python programming language operators You will learn about arithmetic logical and bitwise operators as well as comparison assignment membership identity operators and their syntax All this will be illustrated with examples An operator in Python is a symbol that performs an operation on one or more operands The operand is the variable or value on which the operation is performed Introduction to Python OperatorsPython operators come in types Arithmetic operatorsComparison operatorsAssignment operatorsLogical operatorsAccessory OperatorsIdentity operatorsBitwise operators Python arithmetic operators This type includes operators for performing basic arithmetic operations Addition Adds the value on both sides of the operator Example Subtraction Subtracts the value of the right side from the value in the left Example Multiplication Multiplies the values on both sides of the operator Example Division Divides the value of the left side of the assignment of the right The data type of the division result is a floating point number Example Exponentiation Raises the first number to the power of the second Example Division without remainder Performs division and returns the integer value of the quotient removing the digits after the decimal point Example Division modulo remainder of division Performs division and returns the value of the remainder Example Comparison operatorsComparison operators in Python compare operands They report whether one of them is greater than the other less than equal to or both Less lt This operator checks whether the value on the left is less than the value on the right Example lt FalseMore gt Checks whether the value on the left is greater than the one on the right Example gt TrueLess than or equal to lt Checks whether the left part is less than or equal to the right Example lt TrueGreater than or equal to gt Checks whether the left part is greater than or equal to the right Example gt TrueEqual to This operator checks whether the value from the left is equal to the right is equal to Boolean True and two is not is False Example True TrueTrue TrueFalse FalseTrue TrueFalseNot equal to Checks whether the value on the left is equal to the value on the right The lt gt operator performs the same task but it was removed in Python When the condition is met True is returned Otherwise False This return value can be used in subsequent statements and expressions Example False True This raise Syntax Error Assignment operatorsThe assignment operator assigns a value to a variable It can manipulate the value before assignment There are assignment operators simple and using arithmetic operators Assignment Assigns a value from the right to the left part It is worth noting that is used for comparison and for assignment Example a print a Addition and assignment Sums up the value of both sides and assigns it to the expression on the left a is the same as a a The same applies to all other assignment operators Example a a print a Subtraction and assignment Subtracts the value on the right from the left and assigns it to the expression on the left Example a a print a Division and assignment Divides the value from the left by the right Then assigns it to the expression on the left Example a print a Multiplication and assignment Multiplies the values of both sides Then assigns the right to the left Example a print a Modulo division and assignment Performs modulo division for both parts The result assigns to the left part Example a a print a Exponentiation and assignment Performs exponentiation of the left part of the value of the right part Then assigns a value to the left part Example a print a Division with remainder and assignment Performs division with the remainder and assigns the result to the left part Example a print a This is one of the important Python operatorsPython Logical operatorsThese are unions that allow you to combine several conditions There are only three operators in Python and and or or and not not AndIf the conditions on both sides of the and operator are true then the entire expression is considered true Example a gt and gt print a FalseOrThe expression is false if both operands on both sides are false If at least one of them is true then the whole expression is true Example a gt or gt print a TrueNotThis operator inverts the Boolean values of the expression True turns into False and vice versa In the example below the Boolean value is False Therefore it turns into True Example a not print a True Accessory OperatorsThese operators check whether the value is part of a sequence The sequence can be a list a string or a tuple There are only two such operators in and not in InChecks whether the value is a member of the sequence In this example you can see that the fox line is not in the list of pets But cat is so it returns True Also the string me is a substring of disappointment Therefore it will return True Example pets dog cat ferret fox in petsFalse cat in petsTrue me in disappointment TrueNot inThis operator checks whether the value is not a member of the sequence Example pot not in disappointment TrueIdentity operatorsThese operators check whether the operands are the same whether they occupy the same position in memory IsIf the operands are identical then True will be returned Otherwise False Here is not so False will be returned But is the same as Different quotes do not change the objects themselves so True will be returned Example is False is TrueIs not is a number and is a string Therefore True will be returned Example is not True Python Bitwise operators These operators work on the operands bit by bit Binary And amp Performs a bitwise and operation on two values Here binary is and is The result of bitwise and is binary Bitwise and over and yields the result Example amp amp Binary OR Performs a bitwise or operation on two values Here or for and returns Example Binary OR NOT Performs a bitwise xor exclusive or operation on two values Here the result OR NOT for and will be Example Inverting operator It returns inverted binary numbers In other words flips the bits Bit is Its inverted version is This is a binary Therefore the result is Similarly equals Example Once again the inverted is Binary left shift lt lt It shifts the value of the left operand to the position indicated on the right So binary is lt lt will shift the value two positions to the left and will come out ーthis is binary Example lt lt Binary shift to the right gt gt Shifts the value of the left operator to the position indicated on the right So binary is gt gt will shift the value two positions to the right The result is that is gt gt will shift one position to the right and the result will be binary Example gt gt gt gt ConclusionsIn this article all types of Python operators were considered An example was offered for each in the IDE To understand the specifics of the operators you need to continue working with them use them in conditional constructions and combine them Write me on Face oh MetaMy Twitter	2021-11-06 15:48:09
海外TECH	DEV Community	Dev.to as a headless CMS	https://dev.to/vjnvisakh/devto-as-a-headless-cms-efb	Dev to as a headless CMSIt has been long since I wanted to develop a website for blogging Everytime I sat with it the one thing that disturbed me is that I have to setup everything from scratch i e design databases choose a framework for writing my APIs test my APIs and many more I was never a fan of coupled CMS like Wordpress Dev toThat is when I started writing on Dev to The reason why I chose Dev to over Medium has to be the activity I could see on a daily basis I know Medium is very popular and is good to make some money writing The thing was I wasn t sure whether the blog will lead to anything at all because of the multiple projects I could see that are pending in my list I loved writing on Dev to probably because of it s editor No clutter blackish background markdowns possible That is all that I ever needed I guess So I started writing and soon I realized I don t have a nice home page if I wanted to show my blog off to my friends And that is when I started wandering And eureka The heavy liftersDev to actually has everything built in for you They have APIs exposed publicly that you can use to create a nice front end for your blog The GET requests are free while you need an API Key for the POST PUT ones I guess But that didn t much matter to me as I just wanted people be able to read contents for the MVP It took well over a day to set things up So the backend is powered by Dev To Thank you D the front end is hosted on Netlify It was made using ReactJs The only cost I incurred was the custom domain I bought from GoDdaddy for a year I guess So that is it Cheapest blog setup ever I guess So essentially Dev to does all the hosting for me Thank you Dev to developers for keeping the system in perfect condition always Here is the API documentation if you want to give it a go How it endedHere is how the blog looks like today I am pretty sure I will start working on it soon again or atleast I hope Here is the desktop and mobile view of the blog You can access the blog over HERE I know there are a lot of improvements possible just as you open it But it satisfied my use case I guess almost free blogger In my next post I will bring in an even fancier way of doing things using Strapi Till then Happy coding	2021-11-06 15:41:15
海外TECH	DEV Community	9 Types of AWS Databases and its purposes	https://dev.to/praveensambu/9-types-of-aws-databases-and-its-purposes-3pp1	Types of AWS Databases and its purposes types of managed database services available from AWS They fall into two primary categories relational NoSQL databases The Amazon Relational Database Service is the managed service providing relational databases The engines include Amazon Aurora MySQL MariaDB Postgres Microsoft SQL Server and Oracle The managed NoSQL database offerings include Key Value stores Document stores In Memory Databases Graph stores Time Series stores Ledger databases and Search databases Amazon DynamoDB is a key value store Data is accessed using a key that retrieves a value It s a binary operation Data is returned or it isn t Amazon DocumentDB is a document database Document databases store semi structured data and the data structure is embedded in the document itself Data is accessed using a key but the value because it can have a structure can also be queried to return specific information Amazon ElastiCache is an in memory store The primary use case for an in memory store is caching A cache improves database performance by serving often requested data from memory instead of from a disk or from a memory intensive calculation Amazon Neptune is a graph database Graph databases store and analyze the relationships between things Graph databases can visualize people in terms of a social network but they can also be used to see how systems and processes are connected Amazon Timestream is a Time Series database Time series databases answer questions about trends and events While it is a type of key value store with the time as the key a time series database looks at ranges of data points to calculate answers Amazon Quantum Ledger Database is a ledger database A ledger database uses cryptographic controls to ensure that the data stored is immutable Records are not edited Instead when information changes new versions of the record are created It also uses a blockchain to ensure data integrity When a hash is created to verify data integrity it uses the data along with the hash from the previous record If the chain is tampered with the chain will be broken Amazon Elasicsearch Service is a search database Search databases create indexes to help people find important information Web searching is a common application but searching is also done in product catalogs enterprise documentation and in content management systems Relational databases are best for transactional workloads that have highly structured data and require ACID compliance ACID compliance means that transactions will take a database from one stable state to another stable state Relational databases can scale but when they do it is done vertically They re made bigger by adding more CPU memory or expanding existing storage Relational databases are often used for online transactional processing applications These types of applications usually work on small amounts of data per transaction to record an exchange of goods or services Relational databases use a schema to define the structure of the data stored Schemas are built based on reporting data validation and compliance requirements The database cannot be used until the design has been completed and implemented Relational databases report on and manage known processes NoSQL databases are a family of databases that share certain characteristics They usually scale horizontally by adding compute notes They do not generally require a schema to define data Data is usually semi structured or unstructured The term NoSQL originally meant that a programming language other than SQL was used to access data This has been expanded to mean “Not Only SQL because some databases in the NoSQL family can use a modified version of SQL to access data NoSQL databases are often used for online analytical processing workloads OLAP workloads answer questions that are unknown That is where a relational database report might show the number of items sold in a given month an analytic application might reveal the trends as to why certain items sold while others didn t NoSQL databases use unstructured or semi structured data This means that developers can write code using a NoSQL database without having to wait until the design has been completed Data drives business Data drives innovation Data can be as unique as a fingerprint or as ubiquitous as water The cloud has the promise of agility scalability and elasticity Agility is about changing to meet needs scalability means that growth can happen when needed and elasticity is about turning the lights off when leaving a room Picking the correct database to manage data will take some effort It could be that several database types are needed	2021-11-06 15:01:14
Apple	AppleInsider - Frontpage News	Apple Music-streamed Astroworld crowd crush kills 8	https://appleinsider.com/articles/21/11/06/apple-music-streamed-astroworld-surges-leaves-8-dead?utm_medium=rss	Apple Music streamed Astroworld crowd crush kills Tragedy struck at the Astroworld Festival on Friday after a crowd surge during the Apple Music streamed Travis Scott performance led to the deaths of people while also injuring over others Houston officials say that a surge that occurred at the time of Scott s on stage performance at the festival was a major problem that overwhelmed security forces outside of NRG Park Scott s performance commenced shortly after p m and was followed closely by crowd surges among the estimated attendees Houston Fire Chief Samuel Pena said during a press conference that the surges occurred due to a panic in the crowd with attendees running to safety reports Variety The show was paused by Scott multiple times as security attempted to help fans and the fire department rescued injured people from the crowd Read more	2021-11-06 15:24:19
海外TECH	Engadget	Hitting the Books: Domestication brought about our best fuzzy friends	https://www.engadget.com/hitting-the-books-our-oldest-companions-pat-shipman-harvard-university-press-153017333.html?src=rss	Hitting the Books Domestication brought about our best fuzzy friendsNearly years ago humanity had its best idea to date transform the age s apex predator into a sociable and loyal ally Though early humans largely muddled through the first few thousand years of the process the results have been nothing short of revolutionary The practice of domestication underpins our modern world without which we wouldn t have dogs or cats or farm animals ーor even farms for that matter In her latest book Our Oldest Companions The Story of the First Dogs Anthropologist and American Association for the Advancement of Science fellow Pat Shipman explores the early days of domestication and how making dogs out of wolves fundamentally altered the course of human history nbsp Harvard University PressExcerpted from OUR OLDEST COMPANIONS THE STORY OF THE FIRST DOGS by PAT SHIPMAN published by The Belknap Press of Harvard University Press Copyright by the President and Fellows of Harvard College Used by permission All rights reserved To answer the question of whether or not the first dog evolved in Asia or Europe we need to go back and create a good working definition of domestication “Domestication has a very specific meaning The term is derived from the Latin for “dwelling or “house domus In its broadest sense domestication is the process of rendering an animal or plant suitable for or amenable to living in the domus for being a member of and living intimately with the family Even in this general sense the precise meaning of domestication is elusive Are plants domesticated Certainly some of them are spoken of as domesticated as needing deliberate care and cultivation and sometimes fertilization by humans and conversely as having been genetically modified through human selection to have traits considered desirable I am not talking about the relatively recent process of genetically engineering changes to plants these modified products such as soybeans are known colloquially as GMOs genetically modified organisms Selection has been carried out for millennia by hunters gatherers foragers gardeners farmers and breeders of various species through old fashioned means not in the laboratory If you want for example violets with white stripes what do you do You try to nurture the seeds of those that show white stripes and pull up the ones that don t until you always get striped ones if you ever do We can understand the general principle of selecting or choosing the most desirable plants ーthose that yield the most food under particular conditions for example ーbut the practice of selection is somewhat paradoxical The individual plants that produce rich fruits or seeds or tubers are the ones you would most want to eat ーand those are the very ones you must save for the next planting season Which is the most practical strategy Why did people start saving the best seed It is an awkward conundrum As the late Brian Hesse wisely observed in his studies of early domestication people who are short of food even starving do not save food for next season or next year They simply try to live until next week The habit of saving seeds for another day must have arisen in relatively good times when food was plentiful enough to keep some for the distant future This implies that the motivation for domestication is not to ensure a stable food supply because undertaking the initial process of domestication makes sense only if you already have enough food Plant domestication seems to be about improving the plant species in the long run But you really don t care if the plant is happy to see you or plays nicely with the children What is more strictly speaking domesticated plants ーcrops ーdo not exactly live with humans or in the home In fact because some of them such as nuts and fruits grow on trees and most require sunlight they could not possibly live indoors Domesticated plants certainly do not participate in family life in any active way though their needs and locations may shape the seasonal and daily round of activities and the locations of settlements They don t join the family There is an odd sort of remote intimacy between crops and those who harvest or farm them The more you ponder the domestication of plants the fuzzier the concept of “domesticating them becomes The earliest farmers or gardeners did not know enough about the mechanics of reproduction or genetic inheritance to know how to get a particular plant to fertilize some other particular plant and produce bigger corms or juicier fruits or non exploding seed heads which are easier to harvest or tubers that were richer in carbohydrates Domesticating plants was not a matter of learning which individual plants were friendliest or least aggressive toward people And yet over time wisdom accumulated sometimes accompanied by good luck and humans did find out how to alter some plants genetics to foster a more desirable outcome This discovery is often spoken of as the Neolithic revolution or the dawn of agriculture It is generally thought to have occurred around years ago Agriculture as an organized system of growing food transformed at least some people who had traditionally hunted gathered and foraged for their daily food ーmobile people living off the land ーand turned them into more sedentary farmers tied to fields and villages and dwellings The Neolithic revolution was not a win win proposition at the outset Several studies have shown that early farming peoples experienced a decline in their general health because they often had monotonous diets based on a very few staple resources Having a narrower range of staple foods meant that those people were more vulnerable to normal variations in weather such as too much or too little rain or too hot or too cold or too short a growing season and of course there were plant diseases which spread easily when a whole field is planted with a single species Growing crops also caused humans to live in more permanent settlements which exacerbated problems with sanitation water supply and human crowd diseases Though farming supported more people living in higher densities than hunting and foraging it also created perfect conditions for the spread of contagious diseases and parasites and for recurrent episodes of starvation in bad years And then there was warfare Among nomadic foraging and hunting peoples disputes are often settled by one group moving away from the other But clearing and fencing fields planting and tending crops and building storage facilities takes a lot of work so people begin to defend territories ーor to raid others territories when times are bad and their own crops fail Excess foods such as the seeds for next year or the vegetables saved for winter could be stolen during a raid Abandoning a cleared or planted field and a store of food is an expensive proposition much more risky than simply shifting your hunting to another area when game gets scarce or your brother in law becomes annoying As best we know at present the domestication of plants began about years ago with fig trees emmer wheat flax and peas in the Near East At about the same time foxtail millet was domesticated in Asia How do we know this at all We know it because of plant remains preserved under special conditions Seeds can be preserved and sometimes were Many edible plants also contain starch grains and phytoliths microscopic silica structures that are much more resistant to decay than leaves or stems If found these can also be used to identify plants that were used in the past techniques such as radiocarbon dating can tell us when this occurred Historically it was often assumed that plants were domesticated earlier than animals but modern science shows that this idea is unquestionably mistaken There is no logical reason why it should be true The attributes and needs of domesticated crops differ a great deal from those of hunted or gathered foods knowing how to raise wheat tells you little about how to look after pigs Like fields particularly rich hunting grounds could be invaded by others and were worth defending But many hunters and gatherers or foragers were nomadic and lived in low densities out of necessity Staying too long in one area depleted the local prey population Whereas agriculturalists can store crops for the future hunters cannot store meat for long in temperate or tropical climates though extreme cold works well to keep meat frozen Over time crops are more vulnerable to theft than carcasses Domesticating animals involves other issues Domestic animals are not normally hunted indeed they are not always confined and may be free ranging Still domestic animals can be moved to a new area much more easily than a planted field a store of grain or a pile of tubers which simply will not get up and walk to a new locale Such animals may even transport household goods as they are being moved Moving domestic animals is a very different proposition from moving plant foods So why do we use the same word domesticates to describe both plant and animal species and a single word domestication to describe the process by which an organism becomes domesticated I think it is a grave mistake that has been based on outdated ideas and faulty assumptions I do not believe that a single process is involved I argue that plant and animal domestication are radically different because the nature of the wild species from which domestication might begin is also radically different As well as having the inherent genetic variability that causes some individuals to exhibit more desirable traits animals must also cooperate to some extent if they are to be domesticated Animals choose domestication if it is to succeed Plants do not Like animals plants have to have enough genetic variability to be exploited by humans during domestication but plants do not decide whether or not to grow for humans Animals must decide whether or not to cooperate	2021-11-06 15:30:17
海外TECH	Engadget	'Stranger Things' season 4 teaser hints at trouble in California	https://www.engadget.com/stranger-things-season-4-california-teaser-153004826.html?src=rss	x Stranger Things x season teaser hints at trouble in CaliforniaNetflix is finally dribbling out more tangible details of Stranger Things season s plot The streaming service has released a new teaser showing what life is like for Eleven and Will now that they ve relocated from Indiana to California As you might guess life isn t quite so peachy despite all the sunshine ーwhat promises to be a wonderful spring break invariably leads to mysteries and plenty of run ins with dodgy government forces including the occasional explosion Only pieces of the story have been available so far Netflix has touched on the ostensibly haunted Creel House a possibly giant monster Hopper s stint in Russia and the return of Dr Brenner Eleven may have to confront her past life in the new season There still isn t a full trailer though Netflix has only committed to debuting Stranger Things season sometime in That s expected given the long development process and the challenges of filming during the pandemic All the same it s easy to imagine fans getting frustrated as they wait for a solid premiere date	2021-11-06 15:30:04
海外科学	NYT > Science	Young Women Are Leading Climate Protests. Guess Who Runs Global Talks?	https://www.nytimes.com/2021/11/06/climate/climate-summit-glasgow-protests.html	Young Women Are Leading Climate Protests Guess Who Runs Global Talks There s a clear gender and generation gap at the Glasgow talks and the two sides have very different views on how to address global warming	2021-11-06 15:06:06
ニュース	BBC News - Home	Ex-PM John Major: Government handling of Paterson case shameful	https://www.bbc.co.uk/news/uk-59188972?at_medium=RSS&at_campaign=KARANGA	paterson	2021-11-06 15:42:37
ニュース	BBC News - Home	Three seriously injured in knife attack on train in Germany	https://www.bbc.co.uk/news/world-europe-59181509?at_medium=RSS&at_campaign=KARANGA	bavaria	2021-11-06 15:52:51
ニュース	BBC News - Home	COP26: Tens of thousands march for Glasgow's biggest protest	https://www.bbc.co.uk/news/uk-scotland-59185007?at_medium=RSS&at_campaign=KARANGA	glasgow	2021-11-06 15:11:11