投稿時間:2022-02-05 16:18:46 RSSフィード2022-02-05 16:00 分まとめ(20件)

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python	Pythonタグが付けられた新着投稿 - Qiita	Cloud Functions 内で記述した pandas まとめ	https://qiita.com/KoheiEbara/items/8f449cb24be70d839e21	CloudFunctions内で記述したpandasまとめCloudFunctions内でこれまでに書いたpandas一覧以下コードSQLで読み込みしたBigqueryのデータをdataframe変換df  pdreadgbqsql projectid dialectstandarddataframeで読み込みしたデータをpivot変換アドレスに対してurlを横持ちするdf  dfpivotindexfirstnamelastnamepcmail columnsrank valuespageurlpivot変換後のカラム名変更columns    for i in dfcolumns      columnsappendifor x y in zipcolumns range lencolumns  df  dfrenamecolumnsxtest  strydfとdfを横方向に結合axisが横方向、axisが縦方向dfpdconcatdfdfaxisヘッダー名の変更変更前変更後df  dfrenamecolumns    pcmailAddress    firstnameAttributesfirstname備忘録として追加していきます。	2022-02-05 15:57:50
python	Pythonタグが付けられた新着投稿 - Qiita	Python DataFrameの重複行の削除	https://qiita.com/kilowatt/items/473ae20f5cf47781cd5e	subsetの引数がない場合は行のすべてが重複す場合に削除となります。	2022-02-05 15:57:50
python	Pythonタグが付けられた新着投稿 - Qiita	RaspberyPi Zero WHとDHT22センサで部屋の温度・湿度を測定してみた	https://qiita.com/kosukein38/items/02aa3819e13dc35e9e0d	HATとセンサーの取り付けお次は購入したGroveBaseHatforRaspberryPiZeroと温湿度センサーDHTを使えるようにセットアップしていきました。	2022-02-05 15:29:28
python	Pythonタグが付けられた新着投稿 - Qiita	kivyMDチュートリアル其の肆什漆 Behaviors - Ripple篇	https://qiita.com/virty/items/ffb409a5f90230729635	ということで、今週はこれくらいにしておこうかなと思っています。	2022-02-05 15:25:43
js	JavaScriptタグが付けられた新着投稿 - Qiita	【Udemy】聴きやすい英語のエンジニア向け優良コンテンツ(順次追記)	https://qiita.com/gusaku/items/eda75600fbb930095704	Udemy英語コンテンツのメリット・デメリットメリット・Udemyの英語コンテンツは日本語コンテンツより充実しているものが多い独断です・日本語コンテンツにない技術スタックを扱っている・最新技術の動画が出るのが明らかに日本語より早い・副次的に英語力向上にもつながるデメリット・ネイティブじゃない訛りまくった英語を話す講師も多いため、聞きやすい英語を話す講師を探す必要あり講師リスト・JonasSchmedtmann→比較的ゆっくり話す。	2022-02-05 15:20:08
js	JavaScriptタグが付けられた新着投稿 - Qiita	ぼくのかんがえた"ほぼ"さいきょうのガントチャートツール(agile gantt)	https://qiita.com/kaku3/items/9a554779422f58b51591	実際、タスク管理はclickupやjiraやバックログなどの優秀なチケット管理ツールでだいぶ快適になってきていますが「今プロジェクトはどういう状況」と言われた時に一言で回答できるような管理ツールがないのが現状かと思います。	2022-02-05 15:05:14
Ruby	Rubyタグが付けられた新着投稿 - Qiita	僕も Ruby で pagepank をやってみた	https://qiita.com/superrino130/items/e3fb622718f0e4c2cf1c	僕もRubyでpagepankをやってみたはじめに上記URLにあります、PythonのコードをRubyでやってみようと思います。	2022-02-05 15:56:35
Docker	dockerタグが付けられた新着投稿 - Qiita	docker を利用し各種言語のバージョンを使い分ける	https://qiita.com/Sawawada/items/0053867398fd527bd949	開発にて実際の開発では、長ったらしいコマンドを実行するのが面倒くさいのでシェルスクリプトを作成するのがおすすめtouchnpmshchmodxnpmshファイルを作成し、実行権限を付与npmshbinbashdockerrunrmitvPWDappworkdirappnodenpmで引数を受け取れるようにすることで、npmの各種コマンドに対応できるようにするnpmshinstallreactnpmshrundev上記のように各種コマンドの実行が可能注意点composerを上記のように利用したときは、phpの拡張が足りず一部インストールできないパッケージがあった。	2022-02-05 15:52:31
Docker	dockerタグが付けられた新着投稿 - Qiita	【Udemy】聴きやすい英語のエンジニア向け優良コンテンツ(順次追記)	https://qiita.com/gusaku/items/eda75600fbb930095704	Udemy英語コンテンツのメリット・デメリットメリット・Udemyの英語コンテンツは日本語コンテンツより充実しているものが多い独断です・日本語コンテンツにない技術スタックを扱っている・最新技術の動画が出るのが明らかに日本語より早い・副次的に英語力向上にもつながるデメリット・ネイティブじゃない訛りまくった英語を話す講師も多いため、聞きやすい英語を話す講師を探す必要あり講師リスト・JonasSchmedtmann→比較的ゆっくり話す。	2022-02-05 15:20:08
golang	Goタグが付けられた新着投稿 - Qiita	gomock とgotests を使ったCleanArchitectureのusecaseテスト生成術	https://qiita.com/kotap15/items/57f0d61551d327b83b8f	gotestsで雛形を生成してgomockを用いつつ引数としてmockの初期化関数を渡してモックパターンを柔軟に設定する参考にも記載したのですが上記サイトがgomockを使う上で大変参考になりました。	2022-02-05 15:33:17
golang	Goタグが付けられた新着投稿 - Qiita	【Udemy】聴きやすい英語のエンジニア向け優良コンテンツ(順次追記)	https://qiita.com/gusaku/items/eda75600fbb930095704	Udemy英語コンテンツのメリット・デメリットメリット・Udemyの英語コンテンツは日本語コンテンツより充実しているものが多い独断です・日本語コンテンツにない技術スタックを扱っている・最新技術の動画が出るのが明らかに日本語より早い・副次的に英語力向上にもつながるデメリット・ネイティブじゃない訛りまくった英語を話す講師も多いため、聞きやすい英語を話す講師を探す必要あり講師リスト・JonasSchmedtmann→比較的ゆっくり話す。	2022-02-05 15:20:08
Git	Gitタグが付けられた新着投稿 - Qiita	【Udemy】聴きやすい英語のエンジニア向け優良コンテンツ(順次追記)	https://qiita.com/gusaku/items/eda75600fbb930095704	Udemy英語コンテンツのメリット・デメリットメリット・Udemyの英語コンテンツは日本語コンテンツより充実しているものが多い独断です・日本語コンテンツにない技術スタックを扱っている・最新技術の動画が出るのが明らかに日本語より早い・副次的に英語力向上にもつながるデメリット・ネイティブじゃない訛りまくった英語を話す講師も多いため、聞きやすい英語を話す講師を探す必要あり講師リスト・JonasSchmedtmann→比較的ゆっくり話す。	2022-02-05 15:20:08
海外TECH	DEV Community	Introduction to Amazon DynamoDB	https://dev.to/aws-builders/introduction-to-amazon-dynamodb-8e4	Introduction to Amazon DynamoDB IntroductionAmazon DynamoDB is a fast fully managed NoSQL database service that makes it simple and cost effective to store and retrieve any amount of data and serve any level of request traffic DynamoDB helps offload the administrative burden of operating and scaling a highly available distributed database cluster This storage alternative meets the latency and throughput requirements of highly demanding applications by providing single digit millisecond latency and predictable performance with seamless throughput and storage scalability DynamoDB stores structured data in tables indexed by primary key and allows low latency read and write access to items ranging from byte up to KB DynamoDB supports three data types number string and binary in both scalar and multi valued sets It supports document stores such as JSON XML or HTML in these data types Tables do not have a fixed schema so each data item can have a different number of attributes The primary key can either be a single attribute hash key or a composite hash range key DynamoDB offers both global and local secondary indexes provide additional flexibility for querying against attributes other than the primary key DynamoDB provides both eventually consistent reads by default and strongly consistent reads optional as well as implicit item level transactions for item put update delete conditional operations and increment decrement With DynamoDB you can create database tables that can store and retrieve any amount of data and serve any level of request traffic You can scale up or scale down your tables throughput capacity without downtime or performance degradation DynamoDB provides on demand backup capability It allows you to create full backups of your tables for long term retention and archival for regulatory compliance needs You can create on demand backups and enable point in time recovery for your Amazon DynamoDB tables Point in time recovery helps protect your tables from accidental write or delete operations With point in time recovery you can restore a table to any point in time during the last days DynamoDB enables you to delete expired items from tables automatically to help you reduce storage usage and the cost of storing data that is no longer relevant For more information see Expiring Items By Using DynamoDB Time to Live TTL DynamoDB is integrated with other services such as Amazon EMR Amazon Redshift AWS Data Pipeline and S for analytics data warehouse data import export backup and archive Big Data Analytics Options on AWS is a Series containing different articles that provides a basic introduction to different Big Data Analytics Options on AWS Each article covers the detailed guide on how each service is used for collecting processing storing and analyzing big data Ideal usage patternsDynamoDB is ideal for existing or new applications that need a flexible NoSQL database with low read and write latencies and the ability to scale storage and throughput up or down as needed without code changes or downtime Common use cases include Mobile appsGamingDigital ad servingLive votingAudience interaction for live eventsSensor networksLog ingestionAccess control for web based contentMetadata storage for Amazon S objectsEcommerce shopping cartsWeb session managementMany of these use cases require a highly available and scalable database because downtime or performance degradation has an immediate negative impact on an organization s business Cost modelWith DynamoDB you pay only for what you use and there is no minimum fee DynamoDB charges for reading writing and storing data in your DynamoDB tables along with any optional features you choose to enable DynamoDB has two capacity modes and those come with specific billing options for processing reads and writes on your tables on demand and provisioned With on demand capacity mode DynamoDB charges you for the data reads and writes your application performs on your tables You do not need to specify how much read and write throughput you expect your application to perform because DynamoDB instantly accommodates your workloads as they ramp up or down With provisioned capacity mode you specify the number of reads and writes per second that you expect your application to require You can use auto scaling to automatically adjust your table s capacity based on the specified utilization rate to ensure application performance while reducing costs New customers can start using DynamoDB for free as part of the AWS Free Usage Tier For more information see Amazon DynamoDB pricing PerformanceDynamoDB is a key value and document database that can support tables of virtually any size with horizontal scaling This enables DynamoDB to scale to more than ten trillion requests per day with peaks greater than million requests per second over petabytes of storage DynamoDB supports both key value and document data models This enables DynamoDB to have a flexible schema so each row can have any number of columns at any point in time This enables you to easily adapt the tables as your business requirements change without having to redefine the table schema as you would in relational databases DynamoDB Accelerator DAX is an in memory cache that delivers fast read performance for your tables at scale by enabling you to use a fully managed in memory cache Using DAX you can improve the read performance of your DynamoDB tables by up to ten timesーtaking the time required for reads from milliseconds to microseconds even at millions of requests per second DynamoDB global tables replicate your data automatically across your choice of AWS Regions and automatically scale capacity to accommodate your workloads With global tables your globally distributed applications can access data locally in the selected Regions to get single digit millisecond read and write performance Amazon Kinesis Data Streams for DynamoDB captures item level changes in your DynamoDB tables as a Kinesis data stream This feature enables you to build advanced streaming applications such as real time log aggregation real time business analytics and IoT data capture Through Kinesis Data Streams you also can use Amazon Kinesis Data Firehose to deliver DynamoDB data automatically to other AWS services AWS Glue Elastic Views supports DynamoDB as a source to combine and replicate data continuously across multiple databases in near real time Durability and availabilityDynamoDB automatically spreads the data and traffic for your tables over a sufficient number of servers to handle your throughput and storage requirements while maintaining consistent and fast performance All of your data is stored on solid state disks SSDs and is automatically replicated across multiple Availability Zones in an AWS Region providing built in high availability and data durability You can use global tables to keep DynamoDB tables in sync across AWS Regions Amazon DynamoDB Streams captures all data activity that happens on your table and enables you to set up Regional replication from one geographic Region to another to provide even greater availability Scalability and elasticityDynamoDB is both highly scalable and elastic There is no limit to the amount of data that you can store in a DynamoDB table and the service automatically allocates more storage as you store more data using the DynamoDB write API operations Data is automatically partitioned and re partitioned as needed while the use of SSDs provides predictable low latency response times at any scale The service is also elastic in that you can simply “dial up or “dial down the read and write capacity of a table as your needs change When you create a DynamoDB table auto scaling is the default capacity setting but you can also enable auto scaling on any table that does not have it active Behind the scenes DynamoDB auto scaling uses a scaling policy in Application Auto Scaling To configure auto scaling in DynamoDB you set the minimum and maximum levels of read and write capacity in addition to the target utilization percentage Auto scaling uses Amazon CloudWatch to monitor a table s read and write capacity metrics by creating CloudWatch alarms that track consumed capacity InterfacesDynamoDB provides a low level RESTAPI as well as higher level SDKs for Java ET and PHP that wrap the low level REST API and provide some object relational mapping ORM functions These APIs provide both a managementand data interface for DynamoDB The API currently offers operations that enable table management creating listing deleting and obtaining metadata and working with attributes getting writing and deleting attributes query using an index and full scan While standard SQL isn t available you can use the DynamoDB select operation to create SQL like queries that retrieve a set of attributes based on criteria that you provide You can also work with DynamoDB using the console Anti patternsDynamoDB has the following anti patterns Prewritten application tied to a traditional relational database If you are attempting to port an existing application to the AWS Cloud and need to continue using a relational database you can use either Amazon RDS Amazon Aurora MySQL PostgreSQL Oracle or SQL Server or one of the many pre configured Amazon EC database AMIs You can also install your choice of database software on an EC instance that you manage Joins or complex transactions While many solutions are able to leverage DynamoDB to support their users it s possible that your application may require joins complex transactions and other relational infrastructure provided by traditional database platforms If this is the case you may want to explore Amazon Redshift Amazon RDS or Amazon EC with a self managed database Binary large objects BLOB data If you plan on storing large greater than KB BLOB data such as digital video images or music you ll want to consider Amazon S However DynamoDB can be used in this scenario for keeping track of metadata such as item name size date created owner location and so on about your binary objects Large data with low I O rate DynamoDB uses SSD drives and is optimized for workloads with a high I O rate per GB stored If you plan to store very large amounts of data that are infrequently accessed other storage options may be a better choice such as Amazon S Hope this guide gives you an Introduction to Amazon DynamoDB Let me know your thoughts in the comment section And if you haven t yet make sure to follow me on below handles connect with me on LinkedInconnect with me on Twitter‍follow me on github️Do Checkout my blogs Like share and follow me for more content ltag user id follow action button background color important color fac important border color important Adit ModiFollow Cloud Engineer AWS Community Builder x AWS Certified x Azure Certified Author of Cloud Tech DailyDevOps amp BigDataJournal DEV moderator Reference Notes	2022-02-05 06:43:55
海外TECH	DEV Community	Make Your GitHub Profile Standout To Attract Better Opportunities	https://dev.to/astrodevil/make-your-github-profile-standout-to-attract-better-opportunities-4enf	Make Your GitHub Profile Standout To Attract Better OpportunitiesTo screen candidates the industry is shifting away from resumes and toward GitHub profiles In the software industry Open Source projects are widely regarded now How can recruiters know that the abilities you claim to have are truly the skills you have When you re a fresher with no professional experience open source contributions come in useful Without any prior industry expertise GitHub allows you to exhibit your work As a result it s important to make GitHub Profile stand out and present the best version of yourself In this article I am shedding light on tips to Make Your GitHub Profile Standout To Attract Better Opportunities Introduction The above screenshot is of my GitHub profile I have mentioned my bio in a detailed manner including contribution graphs badges tech stack proper name username profile picture social handles and my side hustles You can also create your GitHub profile like mine or even better Isn t my profile more detailed and attractive than resume I hope after seeing the above screenshot you also want to make your GitHub profile stand out Let s get started Foundation StoneAs you know already the repository is the main feature of GitHub where every project content code is stored properly Let s start by creating a special repository after signing in to your GitHub account This repository name must be same as your GitHub username This is a special repository that you can use to add a README md to your GitHub profile Make sure it s public and initialize it with a README or create a README md file inside this repository to get started Markdown will be used to add contents and details in README file Learn Markdown syntax from this cheetsheet README files are commonly used to write documentation for the project repositories It s time to add contents in your profile README HeaderIn the header you can add your name greet message photo or gif or nothing according to your choice I am using my profile related codes you can change accordingly Hi I m Astrodevil lt img src width px gt AboutIn the About section you can add your little introduction What you are working on What are your goals or something like that replace contents according to you lt table gt lt tr gt lt td valign center gt I am currently pursuing my Bachelor s in Computer Science Engineering I am currently learning Java and also interested in Web Development My Goal is to Contribute to as many open source project as possible I love to create different types of contents lt td gt this is my daily dev card you can edit this accordingly lt a href gt lt img src width alt Mr Ånand s Dev Card gt lt a gt lt td gt lt tr gt lt table gt Contribution GraphI have added a contribution graph banner to update daily activity from my GitHub profile It s a nice way to showcase if you are active frequently and doing some contributions in projects This graph is updating daily automatically replace username with your own or change theme GitHub Activity Graph your username amp theme dracula amp hide border true Icons amp BadgesAdding social handles on GitHub profile is the best way to connect with peoples and transfer more audience towards your socials You can use badges for that or icons You can create badges from shields io and also use icons from flaticon There are tons of site to find attractive icons You can also add information about your tech stack and tools you are familiar with by using badges and icons Stats CardAdding Stats cards to your GitHub page is another common profile enhancement This is a simple method to display all of your GitHub statistics in a fun visual way You can also track your GitHub Streak replace username with your own or change theme Stats lt p align center gt lt img width src your username amp show icons true amp theme dracula amp title color ff amp text color ffffff amp bg color aaa amp locale en amp layout compact amp hide border true alt your username gt lt img width src your username amp show icons true amp theme dracula amp title color ff amp text color ffffff amp bg color aaa amp locale en amp hide border true alt your username gt lt img width src your username amp theme highcontrast amp hide border true alt your username gt lt p gt These are the basic customization method that can make your GitHub profile stand out I used my profile as an example to explain above You can also add more customization in your GitHub profile README to make it detailed and attractive Let s see that in next section BuildingYou can also track your activity and showcase it on your profile README by using a GitHub Action Scripts Just create github workflows update readme yml inside the repository and paste below code inside update readme yml file This script updates activity every minutes name Update READMEon schedule cron workflow dispatch jobs build runs on ubuntu latest name Update this repo s README with recent activity steps uses actions checkout v uses jamesgeorge github activity readme master env GITHUB TOKEN secrets GITHUB TOKEN Add this block to README md file where you want to showcase your recent activity lt START SECTION activity gt lt END SECTION activity gt You can also add your blogs and side hustles on your profile README by manually adding it or automating the tasks by using GitHub Actions Check this article to know more about helpful actions You can impress recruiters by showcasing your awesome side hustles Final TouchIf you don t want to learn Markdown or don t have enough time to write from scratch You can use GitHub Profile README Generator or readme generator to create your profile README You can also take inspiration from other profiles by copy pasting markdown codes in your README to customize accordingly Here are the example profiles you can take inspiration from I hope This will help you to make your GitHub profile stand out What are you waiting for Now go create your own profile README and open a world of opportunities for yourself Check out my GitHub If You ️My Content Connect Me on Twitter or Supports Me By Buying Me A Coffee	2022-02-05 06:24:32
海外TECH	CodeProject Latest Articles	JMeter - JSON variable in a ForEach Controller	https://www.codeproject.com/Tips/5323656/JMeter-JSON-variable-in-a-ForEach-Controller	jmeter	2022-02-05 06:39:00
ニュース	BBC News - Home	Winter Olympics: Team GB's Katie Ormerod misses out on snowboard slopestyle final	https://www.bbc.co.uk/sport/av/winter-olympics/60270181?at_medium=RSS&at_campaign=KARANGA	Winter Olympics Team GB x s Katie Ormerod misses out on snowboard slopestyle finalTeam GB s Katie Ormerod fails to reach the snowboard slopestyle final while New Zealand s Zoi Sadowski Synott leads the way in qualifying at the Winter Olympics	2022-02-05 06:46:28
ニュース	BBC News - Home	'Change your life' - Jones' challenge to England as Six Nations begins	https://www.bbc.co.uk/sport/rugby-union/60264075?at_medium=RSS&at_campaign=KARANGA	x Change your life x Jones x challenge to England as Six Nations beginsEngland coach Eddie Jones has challenged his players to change their lives by snatching back the initiative from Scotland on the opening weekend of the Six Nations	2022-02-05 06:14:26
北海道	北海道新聞	村瀬と岩渕が決勝進出、鬼塚落選　スノーボード・５日	https://www.hokkaido-np.co.jp/article/642262/	決勝進出	2022-02-05 15:11:00
ビジネス	東洋経済オンライン	堀江貴文｢ストレスを寄せ付けない｣2つのルール ｢ストレスを感じやすく心配性｣だからこそ･･･ | リーダーシップ・教養・資格・スキル | 東洋経済オンライン	https://toyokeizai.net/articles/-/504828?utm_source=rss&utm_medium=http&utm_campaign=link_back	堀江貴文	2022-02-05 16:00:00
IT	週刊アスキー	【テイクアウト】バーミヤン、人気のラーメンがさらに格安に！ 2週間限定	https://weekly.ascii.jp/elem/000/004/082/4082643/	特別価格	2022-02-05 15:30:00