投稿時間:2021-04-14 17:44:41 RSSフィード2021-04-14 17:00 分まとめ(67件)

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IT	気になる、記になる…	｢iPhone 14｣シリーズでは5.4インチモデルは廃止か − 8K動画撮影対応の4,800万画素カメラ搭載との予測も	https://taisy0.com/2021/04/14/138963.html	apple	2021-04-14 07:12:53
IT	気になる、記になる…	Appleの整備済み商品情報 2021/4/14	https://taisy0.com/2021/04/14/138961.html	apple	2021-04-14 07:04:36
IT	気になる、記になる…	｢iPhone 13 Pro｣の3Dレンダリング画像が公開される	https://taisy0.com/2021/04/14/138955.html	iphone	2021-04-14 07:01:57
フリーソフト	新着ソフトレビュー - Vector	競馬をやったことのない初心者でも気軽に競馬を楽しめるようになる競馬予想サービス「必勝！競馬道」	https://www.vector.co.jp/magazine/softnews/200916/n2009161.html?ref=rss	読み放題	2021-04-14 17:00:00
ROBOT	ロボスタ	AIロボット「ロボコット」が子育ての質問に回答　京都亀岡「ガレリアかめおか」に導入　チャットボット「ほっこりAI」搭載	https://robotstart.info/2021/04/14/robocot-parenting-answer.html	京都亀岡	2021-04-14 07:54:50
IT	ITmedia 総合記事一覧	[ITmedia Mobile] ソニーが「Xperia 1 III」発表　可変式の望遠カメラや120Hz駆動ディスプレイを搭載	https://www.itmedia.co.jp/mobile/articles/2104/14/news108.html	itmediamobile	2021-04-14 16:35:00
IT	ITmedia 総合記事一覧	[ITmedia Mobile] 5G対応のミッドレンジモデル「Xperia 10 III」登場　4500mAhバッテリーを搭載	https://www.itmedia.co.jp/mobile/articles/2104/14/news115.html	itmediamobileg	2021-04-14 16:35:00
IT	ITmedia 総合記事一覧	[ITmedia ビジネスオンライン] ビットコイン、700万円突破　米取引所コインベースの上場も追い風に	https://www.itmedia.co.jp/business/articles/2104/14/news125.html	bitflyer	2021-04-14 16:31:00
IT	MOONGIFT	iOSLocalizationEditor - iOS/macOSアプリの多言語サポート用ツール	http://feedproxy.google.com/~r/moongift/~3/3KR_ySTar44/	iOSLocalizationEditoriOSmacOSアプリの多言語サポート用ツールiOSやmacOSアプリでは多言語対応する際の専用ファイルフォーマットが用意されています。	2021-04-14 17:00:00
TECH	Techable（テッカブル）	成長分野トップはゲーム？ アジャスト社が「モバイルアプリグロースレポート」を発表	https://techable.jp/archives/152823	adjust	2021-04-14 07:00:56
python	Pythonタグが付けられた新着投稿 - Qiita	構造生成メモ	https://qiita.com/cat_lover/items/9540a2d00daba3584a22		2021-04-14 16:27:25
python	Pythonタグが付けられた新着投稿 - Qiita	mpld3でのグラフ化メモ	https://qiita.com/cat_lover/items/afca244ee724b30bf280	mpldでのグラフ化メモカーソルを当てると、構造式が表示される散布図の作り方testpyimportpandasaspdimportnumpyasnpfromrdkitimportChemfromrdkitChemDrawimportrdDepictorfromrdkitChemDrawimportrdMolDrawDfromrdkitChemimportAllChemfromrdkitChemimportDataStructsfromsklearndecompositionimportPCAimportmatplotlibpyplotaspltfrommpldimportpluginsimportmpldmpldenablenotebookdefmaindfloaddatageneratedmolscsvdfsvgmoltosvgmolformolindfmoldfpcafordfdfprintdfheadinteractiveplotdfdefloaddatafilenamedfpdreadcsvfilenameindexcolheaderdfmolChemMolFromSmilesmolformolindfSMILESreturndfdefmoltosvgmolmolSizekekulizeTruemcChemMolmolToBinaryifkekulizetryChemKekulizemcexceptmcChemMolmolToBinaryifnotmcGetNumConformersrdDepictorComputeDCoordsmcdrawerrdMolDrawDMolDrawDSVGmolSizemolSizedrawerDrawMoleculemcdrawerFinishDrawingsvgdrawerGetDrawingTextreturnsvgreplacesvgdefmolfparrmolarrnpzerosfpAllChemGetMorganFingerprintAsBitVectmolDataStructsConvertToNumpyArrayfparrreturnarrdefpcafordfdfpcaPCAncomponentsXnpasarraymolfparrmolformolindfmolprintXshaperespcafittransformXprintresshapedfPCAresdfPCAresreturndfdefinteractiveplotdfpltrcParamsfontsizefigaxpltsubplotsfigsizeaxsetxlabelPCAaxsetylabelPCAaxsettitlechemicalspacepointsaxscatterdfPCAdfPCAsalphaedgecolorsnonetooltippluginsPointHTMLTooltippointsdfsvgvaluestolisthoffsetvoffsetpluginsconnectfigtooltipmpldsavehtmlfigchemicalspaceforgeneratedmolshtmlifnamemainmainSMILES式が入った下記のようなcsvファイルを用意しておく。	2021-04-14 16:15:10
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	VS Code、CSSをデスクトップに保存。なぜかAtomのマークが。	https://teratail.com/questions/333219?rss=all	実は一度、FTPソフトで公開の準備を試みたのですが、知らない間にコーディングしたCSSがごっそりなくなってしまっていたのです。	2021-04-14 16:56:38
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	Pythonanywhereでのstatic設定	https://teratail.com/questions/333218?rss=all	Pythonanywhereでのstatic設定前提・実現したいことDjangoで作ったアプリをPythonanywhere上にデプロイしたのですが、staticフォルダの設定がよくわからず、困っています。	2021-04-14 16:52:37
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	アップデートしたRailsアプリとHerokuの既存のデータベースを接続したい	https://teratail.com/questions/333217?rss=all	アップデートしたRailsアプリとHerokuの既存のデータベースを接続したい経緯Ruby、およびRailsのアップデートを行い、Herokuへとデプロイしました。	2021-04-14 16:48:32
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	Wordpressのリンクエスケープについて	https://teratail.com/questions/333216?rss=all		2021-04-14 16:47:54
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	【Nuxt.js】フォームのエラー	https://teratail.com/questions/333215?rss=all	【Nuxtjs】フォームのエラー前提・実現したいことNuxtとNetlifyでお問い合わせフォームを実装しています。	2021-04-14 16:47:08
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	Progate 「HTML＆CSS道場コース　初級編」　フッターの部分が<ul>を使用しても横並びになってしまう。	https://teratail.com/questions/333214?rss=all	Progate「HTMLCSS道場コース初級編」フッターの部分がltulgtを使用しても横並びになってしまう。	2021-04-14 16:45:12
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	[jsTree]ノードを選択した際にajax通信で下の階層を表示したいです。可能なのでしょうか？	https://teratail.com/questions/333213?rss=all	可能なのでしょうか前提・実現したいこと現在、頭の画像のような状態でテストを選択すると選択したノードのidから子要素を図のように表示したいです。	2021-04-14 16:43:13
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	【Monaca】502エラーが常時コンソールログで表示される	https://teratail.com/questions/333212?rss=all	【Monaca】エラーが常時コンソールログで表示されるangularjsnbspGETnbspnbspBadnbspGatewayのエラーコードが表示され続けます。	2021-04-14 16:40:26
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	useState()の初期値をどう設定すればよいかわからない	https://teratail.com/questions/333211?rss=all		2021-04-14 16:34:32
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	プルダウンの選択範囲をその年によって変えたいです	https://teratail.com/questions/333210?rss=all	プルダウンの選択範囲をその年によって変えたいですhtmlのプルダウンで、年の選択フォームについてです。	2021-04-14 16:30:39
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	Java 配列 指定した要素が何番目かを表示したい	https://teratail.com/questions/333209?rss=all	Java配列指定した要素が何番目かを表示したい前提・実現したいこと以下の課題に取り組んでいるのですが、実行結果が思うように表示されません。	2021-04-14 16:28:08
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	VBA 実行時に、エラーが出てしまいます	https://teratail.com/questions/333208?rss=all	VBA実行時に、エラーが出てしまいますデバッグをしたら、RangequotKquotCurrentRegionSortnbspkeyRangequotKquotの部分がエラーになります。	2021-04-14 16:27:34
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	chrome拡張機能で新しくwindowを開き、それにIDを付与する方法	https://teratail.com/questions/333207?rss=all		2021-04-14 16:27:34
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	styleを使用せずに背景色のグラデーションを表現したい	https://teratail.com/questions/333206?rss=all	styleを使用せずに背景色のグラデーションを表現したい前提・実現したいこと楽天RMSで出品をしている者です。	2021-04-14 16:22:55
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	ｴﾗｰ”ValueError: Found array with dim 3. Estimator expected <= 2.”　解決法ご教授お願いします。	https://teratail.com/questions/333205?rss=all	エラーValueErrorFoundarraywithdimEstimatorexpectedlt解決法ご教授お願いします。	2021-04-14 16:18:28
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	wordpressの 使い方を教えてください。	https://teratail.com/questions/333204?rss=all	VSCでnbspHTMLとnbspCSSを活用し、HPを作成しました。	2021-04-14 16:09:56
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	VB.netのデータをACCESSへ登録したいです	https://teratail.com/questions/333203?rss=all	VBnetのデータをACCESSへ登録したいです発生している問題・エラーメッセージINSERTnbspINTOステートメントの構文エラーを解消したいです。	2021-04-14 16:06:24
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	フィボナッチ数列をC言語でプログラムする	https://teratail.com/questions/333202?rss=all	フィボナッチ数列をC言語でプログラムする前提・実現したいこと質問内容フィボナッチ数列をC言語でプログラムする数列nbspfnを、fnbspnbspfnbspnbspfnnbspnbspfnnbspnbspfnnbspnbspnbspnnbsp≥nbspで定義するいわゆるフィボナッチ数。	2021-04-14 16:02:57
Ruby	Rubyタグが付けられた新着投稿 - Qiita	Rails モデル作成時に関連付け(1対多の場合)	https://qiita.com/Nohem/items/aa96c632c3681007507e	【モデル作成時に関連付けを設定する方法】例として、人のユーザーUserモデルが多くのつぶやきTweetモデルを作成する場合。	2021-04-14 16:22:22
AWS	AWSタグが付けられた新着投稿 - Qiita	Amazon Linux 2 をローカル仮想マシンで実行したくてSeed.isoをWindowsで作った「だけ」	https://qiita.com/ShortArrow/items/ed7b3bc8c720c23685ba	このバッチファイルが何をしているかというと、cygwinとmkisofsが使えるように環境変数Pathを一時的に設定してくれています。	2021-04-14 16:16:43
Azure	Azureタグが付けられた新着投稿 - Qiita	Java で Azure Functionsの関数を実装する	https://qiita.com/statemachine/items/562488d76c02203c1c65	以下がデプロイしたときに自動で生成されたものです。	2021-04-14 16:28:19
Git	Gitタグが付けられた新着投稿 - Qiita	Macでネットワークドライブ上にgit cloneしようとしたらエラーになって困った	https://qiita.com/kendji/items/5e188d03d9ae06b04f8f	Macでネットワークドライブ上にgitcloneしようとしたらエラーになって困ったfatalNotagitrepositoryoranyparentuptomountparenthomefoobarStoppingatfilesystemboundaryGITDISCOVERYACROSSFILESYSTEMnotsetみたいな出力があれば以下の方法で解決できます。	2021-04-14 16:26:00
Ruby	Railsタグが付けられた新着投稿 - Qiita	Rails モデル作成時に関連付け(1対多の場合)	https://qiita.com/Nohem/items/aa96c632c3681007507e	【モデル作成時に関連付けを設定する方法】例として、人のユーザーUserモデルが多くのつぶやきTweetモデルを作成する場合。	2021-04-14 16:22:22
技術ブログ	Developers.IO	くらめその情シス：小ネタ：ActiveDirectoryサーバ更新時のWorkSpaces DNS設定にご注意を	https://dev.classmethod.jp/articles/workspaces_ad_connector_change/	activedirectory	2021-04-14 07:01:22
海外TECH	DEV Community	Automate data entry from PDF to Excel with Python	https://dev.to/stokry/automate-data-entry-from-pdf-to-excel-with-python-1hm	Automate data entry from PDF to Excel with PythonI will show you today how you can automate the process of importing PDF data into Excel This can save a lot of time for everyone doing this daily This is our test data Let s jump to the code First we need to import dependenciesfrom tika import parserimport pprintfrom collections import defaultdictimport reimport pandas as pdAfter that we need to define PrettyPrinter and get the content of the PDF file and convert it into a list pp pprint PrettyPrinter indent parsedPDF parser from file final test pdf content parsedPDF content contentlist content split n Remove empty strings in the list resulting from the splitcontentlist list filter lambda a a contentlist Create an iterator and other flags that we will use to for the algorithm Iterator of the contents of PDF per line iterateContent iter contentlist Dictionary placeholder of the data scrapeddata defaultdict dict Our counter to count how many blocks did we able to get cntr Indicator which line are we in a specific block of data line The algorithm will use the flags cntr and line to determine if we are in a new block or existing blockwhile True try string next iterateContent except StopIteration break if re match A Z s string cntr data cntr Name string line print matched elif line data cntr Address string line elif line data cntr Website string line print Total data len data keys Setting up the data into Dataframedf pd DataFrame data values df index print df Write the dataframe into excelwriter pd ExcelWriter dataframe xlsx engine xlsxwriter df to excel writer sheet name output index False writer save Our final results Thank you all	2021-04-14 07:35:50
海外TECH	DEV Community	Hyperparameter Tuning: Understanding Grid Search☘	https://dev.to/balapriya/hyperparameter-tuning-understanding-grid-search-2648	Hyperparameter Tuning Understanding Grid Search In the previous blog post Why is cross validation important we had looked at how train test split doesn t suffice to get a reliable estimate of the out of sample accuracy which motivated us to understand the importance of cross validation In this blog post we shall see how we can do hyperparameter search more conveniently with GridSearchCV in scikit learn and learn how to use it to tune multiple hyperparameters Let s get started Time for a quick recall We were looking at classification problem on the iris dataset We had used fold cross validation and the mean value of the cross validated accuracy scores as the estimate of out of sample accuracy Let s quickly walk through the steps again necessary importsfrom sklearn datasets import load irisfrom sklearn neighbors import KNeighborsClassifierfrom sklearn model selection import cross val scoreimport matplotlib pyplot as plt matplotlib inline read in the iris datairis load iris create X features and y response X iris datay iris target fold cross validation with K for KNN the n neighbors parameter knn KNeighborsClassifier n neighbors scores cross val score knn X y cv scoring accuracy use average accuracy as an estimate of out of sample accuracyprint scores mean OutputWe then wanted to identify the best value of K for the KNN classifier To find the best K we looped through a possible set of values for K n neighbors and then picked the value of K that gave the highest cross validated accuracy In KNN classifier setting a very small value for K will make the model needlessly complex and a very large value of K would result in a model with high bias that yields suboptimal performance search for an optimal value of K for KNNk range list range k scores for k in k range knn KNeighborsClassifier n neighbors k scores cross val score knn X y cv scoring accuracy k scores append scores mean plot the value of K for KNN x axis versus the cross validated accuracy y axis plt plot k range k scores plt xlabel Value of K for KNN plt ylabel Cross Validated Accuracy As K and gave the highest accuracy score close to we decided to choose K as a larger value of K would yield a less complex model While it is not particularly difficult to write the for loop we do realize that we may have to do it often Therefore it would be good to have a more convenient way of doing the hyperparameter search without having to write a loop every time and identify the best parameter through inspection Understanding GridSearchCVLet s go ahead and import the GridSearchCV class from sklearn model selection import GridSearchCV Define the Parameter GridWe now define the parameter grid param grid a Python dictionary whose key is the name of the hyperparameter whose best value we re trying to find and the value is the list of possible values that we would like to search over for the hyperparameter define the parameter values that should be searchedk range list range create a parameter grid map the parameter names to the values that should be searchedparam grid dict n neighbors k range print param grid param grid n neighbors We now instantiate GridSearchCV Note that we specify the param grid instead of n neighbors argument that we had specified for cross val score earlier Why is this valid Remember the parameter grid param grid is a dictionary whose key is n neighbors and the value is a list of possible values of n neighbors Therefore specifying the param grid ensures that the value at index i is fetched as the value of n neighbors in the i th run Instantiate fit grid and view results instantiate the gridgrid GridSearchCV knn param grid cv scoring accuracy return train score False We now go ahead and fit the grid with data and access the cv results attribute to get the mean accuracy score after fold cross validation standard deviation and the parameter values For convenience we may store the results in a pandas DataFrame The mean and standard deviation of the accuracy scores for n neighbors to are shown below fit the grid with datagrid fit X y view the results as a pandas DataFrameimport pandas as pdpd DataFrame grid cv results mean test score std test score params Outputmean test score std test score params n neighbors n neighbors n neighbors n neighbors n neighbors n neighbors n neighbors n neighbors n neighbors n neighbors When using cross val score we tried eyeballing the accuracy scores to identify the best hyperparameters and to make it easier we plotted the value of hyperparameters vs the respective cross validated accuracy scores Sounds good but doesn t seem to be a great option Once we ve completed the grid search the following attributes can be very useful We can choose to examine the best score the highest cross validated accuracy score the best params the optimal value for the hyperparameters and the best estimator which is the best model that has the best hyperparameter Let us now examine these for our example examine the best modelprint grid best score print grid best params print grid best estimator Output n neighbors KNeighborsClassifier algorithm auto leaf size metric minkowski metric params None n jobs None n neighbors p weights uniform K has been chosen remember K was one of the values of K that gave highest cross validated accuracy score So far so good Searching for multiple parametersIn this example the only hyperparameter that we searched for was n neighbors What if there were many such hyperparameters We may think “Why not tune each hyperparameter independently Well we may independently search for the optimal values for each of the hyperparameters but the model may perform best at some values of the parameters that are very different from the individual best values So we have to search for the combination of the parameters that optimizes performance rather than the individual best parameters Let us build on the same example of KNNClassifier in addition to n neighbors let us also search for the optimal weighting strategy The default weighting option is uniform where all points are weighted equally and distance option weights points by the inverse of their distance In this case closer neighbors of a query point will have a greater influence than neighbors which are further away define the parameter values that should be searchedk range list range weight options uniform distance create a parameter grid map the parameter names to the values that should be searchedparam grid dict n neighbors k range weights weight options print param grid param grid n neighbors weights uniform distance Let us instantiate and fit grid and view results as before instantiate and fit the gridgrid GridSearchCV knn param grid cv scoring accuracy return train score False grid fit X y view the resultspd DataFrame grid cv results mean test score std test score params Resultsmean test score std test score params n neighbors weights uniform n neighbors weights distance n neighbors weights uniform n neighbors weights distance n neighbors weights uniform n neighbors weights distance n neighbors weights uniform n neighbors weights distance n neighbors weights uniform n neighbors weights distance n neighbors weights uniform n neighbors weights distance n neighbors weights uniform n neighbors weights distance n neighbors weights uniform n neighbors weights distance n neighbors weights uniform n neighbors weights distance n neighbors weights uniform Results of Grid Search for two parameters Truncated View of the DataFrame Only the first ten rows of the results have been shown above We actually have models as we had possible values for n neighbors and possible values for weights and as we chose fold cross validation there will be predictions made Time to look at our model s best score and parameters that yielded the best score examine the best modelprint grid best score print grid best params best score and best parameters n neighbors weights uniform We obtain the same best cross validated accuracy score of with n neighbors and weights uniform Now let us say we have to tune hyperparameters and we have a list of possible values for each of the hyperparameters This process creates models and when we run fold cross validation there are predictions made Clearly things do scale up very quickly and can soon become computationally infeasible More efficient hyperparameter searches such as Randomized Search and Informed Search can be very useful in overcoming this drawback Let us cover them in a subsequent blog post Until then Happy Learning References Here s the link to the Google Colab notebook for the above used example Introduction to Machine Learning in Python with scikit learn by DataSchool Scikit learn documentation GridSearchCVCover Image Photo by Kelly Sikkema on Unsplash	2021-04-14 07:27:25
海外TECH	DEV Community	Experience about applying and attending interviews in last six months	https://dev.to/this-is-learning/experience-about-applying-and-attending-interviews-in-last-six-months-1ofc	Experience about applying and attending interviews in last six monthsWhat I will cover in this story Multiple rejections Feedback from multiple HR across the globe Feedback from technical interviewers Resume analysis Stack overflow contribution HackerRank activeness Recommendations for all candidates Learn any framework in depth how it works Used “Cracking the coding interview book for preparation Received Multiple rejectionsEverything in life whether it s acceptance or rejection teaches you a lesson which helps us in moving forward with some action take away from it Few of the learnings from this process which I received are Rejections at HR level help you to understand how impressive is your profile amp where do you stand amongst competition In most cases there are things that you need to improve in your resume profile or improvement in presentation of resume In my case I worked on company profiles block and introduction summary block to reduce the length Previously it was a bit lengthier for an introduction Don t add too many technologies Add only the most important ones which you know in depth Adding relevant technologies will put added value to your interviews and jobs where you applied Try to keep company profile short add a bullet pointer of your job profile Online community presence contribution gives you more weightage while doing a glimpse of your resume Feedback from HRTry to get feedback from every HR if possible Even if you get at least feedback from application it can prove helpful in improvement of your profile Key is to be patient some HR take time to share detailed feedback about your profile rejection “While we found your profile to be interesting it didn t quite fit our current role We have saved your details and would love to stay in touch Above line is what you will hear from most HR while conveying reason for rejection Although these are general lines they certainly give some take away Receiving such feedback generally means your profile technology your work history salary notice period or years of experience such parameters may not fit to their criteria In case you receive this feedback more often you need to check if you are applying for relevant jobs keeping in mind your technology work experience and factors as such Feedback from technical interviewers “Suggestion for future candidates One of the company recommended me to Have a blog or portfolio to show that you can set up a basic website yourself more of showcasing your web development skills Regularly write technical posts or tweets which can show that you are looking to be an opinion leader in your favorite technologies make sure you don t sound too synthetic in your approach make an honest effort Be active in open source projects make issues comments pull requests Be active on Stack Overflow and help others boosts your reputation in community Some more pointers ーRole mismatchーCompletion of hands on roundーTechnical qualification amp strengthーCultural fitーVision alignmentーValue add to the team amp companyーRole fitーAbility to scale with the company Resume analysis Good lines from book “Cracking the Coding Interview Think twice before cutting more technical lines just to allowspace for your non technical hobbies prioritize smartly If you are thinking right now that you have too much experience and can t fit it all on one or two pages trust me you can Long resumes are not a reflection of having tons of experience they re a reflection of notunderstanding how to prioritize content Recruiters only spend a fixed amount of time about seconds looking at your resume If you limit the content to the most impressive items the recruiter is sure to see them Main important pointers to consider while writing resume Appropriate Resume Length Employment History Projects Programming Languages and Software Some companies will throw out your resume just because of a typo For more details read the topic “Before the Interview from books mentioned above Stack overflow contributionWhen you apply as a developer or programmer StackOverflow presence makes your interviewer more attentive to you as he she might look at you as an opinion leader or contributor to the Developer community I started using StackOverflow in but never used it actively until I received feedback from a recruiter who advised me for it Since then I have started to contribute on StackOverflow in different ways like asking questions voting commenting and solving queries from others more frequently This helped me in gaining reputation which means the more you contribute the more your community will trust you Better reputation indicates your contribution is trustworthy which will attract the eyesight of recruiter or an interviewer In I was at reputation whereas now I stand at k reputation with having more than k profile views In fact in one quarter I was able to gain rank which is a definite booster for my community presence amp reputation both My recommendation to all candidates if you have not started it yet do it now Not only for hiring but its open source means helping each other in community free of cost This makes you a more trustworthy and valuable contributor to the fellow developer community HackerRank activenessHacker rank or CodeWars or any other platform engagement can help you keep updated with problem solving skills You can use it actively to improve problem solving skills Personally solving the HackerRank problem and coding test of the interview process helped me understand where I stand in big competition more of self evaluation which in return helped me in understanding where do I need to focus in order to improve Summary of recommendation to all candidates Choose the framework you wish to master Be it any framework try to learn it in depth It is always valuable having deeper understanding or knowledge of a certain framework than just knowing all different frameworks I was having knowledge of numerous framework but none in detail Start to contribute more on open source platforms or frameworks Start using StackOverflow actively Don t forget to vote if any answer or question helped you this is a way we can show our gratitude to fellow contributors Work on resume resume is key to enter the interview process Give time amp invest efforts to build a good resume Read “Cracking the Coding Interview this book Use your Linkedin profile efficiently to impress the recruiter as a wild card When you help others community will help you grow as well While solving problem consider repetitive steps Understand the Problem try to read problem multiple times Choose an approach towards resolution Identify what you can do first Search for things you need to avoid Once resolution is achieved then focus on how to improve Reference Thanks for reading my story If you like and help you in any manner don t forget to clap	2021-04-14 07:01:02
海外TECH	Engadget	Sony’s new Xperia 1 III smartphone is a love letter to photography nerds	https://www.engadget.com/sony-xperia-1-iii-xperia-5-iii-pro-camera-smartphones-5g-specs-074022474.html	Sony s new Xperia III smartphone is a love letter to photography nerdsLast year s Xperia II might have been a mobile photographer s dream come true but it was far from perfect ーit didn t have G in the US its design could feel awkward and it focused on the camera experience over just about everything else But in designing the new Xperia III Sony seems to have addressed well just about everything we didn t like about the last one	2021-04-14 07:40:22
海外科学	BBC News - Science & Environment	COP26: Delaying key climate meeting preferable to 'messing it up'	https://www.bbc.co.uk/news/science-environment-56738328	summit	2021-04-14 07:52:31
ニュース	ジェトロ ビジネスニュース（通商弘報）	米FDAとCDC、J＆J製ワクチン使用の一時停止を勧告	https://www.jetro.go.jp/biznews/2021/04/481e5571e0b58341.html	一時停止	2021-04-14 07:10:00
ニュース	BBC News - Home	Greensill: No 10 rejects calls for parliamentary inquiry	https://www.bbc.co.uk/news/uk-politics-56743426	question	2021-04-14 07:40:59
ニュース	BBC News - Home	The Queen carries out first duty since Prince Philip's death	https://www.bbc.co.uk/news/uk-56740980	windsor	2021-04-14 07:53:03
ニュース	BBC News - Home	Tesco counts cost of Covid trading as profits drop	https://www.bbc.co.uk/news/business-56742832	bottom	2021-04-14 07:45:33
ニュース	BBC News - Home	Chinese man kidnapped and killed in elaborate body swap scheme	https://www.bbc.co.uk/news/world-asia-china-56742156	burial	2021-04-14 07:24:08
ニュース	BBC News - Home	'People used to punch me, kick me, spit on me' - from fleeing war to Olympic hopeful	https://www.bbc.co.uk/sport/olympics/56729309	x People used to punch me kick me spit on me x from fleeing war to Olympic hopefulAsil Sultani discusses fleeing Afghanistan as a child and how he hopes to represent Team Refugee in karate at the Tokyo	2021-04-14 07:03:07
ニュース	BBC News - Home	When will I get my jab?	https://www.bbc.co.uk/news/health-55045639	covid	2021-04-14 07:58:06
ビジネス	不景気.com	佐鳥電機の希望退職者募集に25名が応募、想定2割少ない - 不景気.com	https://www.fukeiki.com/2021/04/satori-electric-cut-25-job.html	佐鳥電機	2021-04-14 07:59:24
ビジネス	不景気.com	サマンサタバサの21年2月期は100億円の最終赤字、減損響く - 不景気.com	https://www.fukeiki.com/2021/04/samantha-thavasa-2021-loss2.html	最終赤字	2021-04-14 07:41:19
GCP	Google Cloud Platform Japan 公式ブログ	最新のウェブ アプリケーションに Google Maps Platform JavaScript を読み込む	https://cloud.google.com/blog/ja/products/maps-platform/loading-google-maps-platform-javascript-modern-web-applications/	googlemapsjsapiloaderによる動的な読み込みの例つ目のライブラリgooglemapsreactwrapperは、MapsJavaScriptAPIを必要とする子コンポーネントのラップ用のReactコンポーネントを提供します。	2021-04-14 09:00:00
北海道	北海道新聞	本屋大賞に町田そのこさん　「５２ヘルツのクジラたち」	https://www.hokkaido-np.co.jp/article/533110/	本屋大賞	2021-04-14 16:14:00
北海道	北海道新聞	ミャンマー、新たに７人死刑判決　国軍協力者殺害への関与として	https://www.hokkaido-np.co.jp/article/533106/	最大都市	2021-04-14 16:13:00
北海道	北海道新聞	広島・宮島の水中花火大会　半世紀近い歴史に幕　安全対策困難	https://www.hokkaido-np.co.jp/article/533105/	世界遺産	2021-04-14 16:12:51
北海道	北海道新聞	兵庫で過去最多５０７人感染　新型コロナ	https://www.hokkaido-np.co.jp/article/533085/	新型コロナウイルス	2021-04-14 16:10:33
北海道	北海道新聞	鹿児島・奄美大島で海開き　旧暦の桃の節句に安全祈願	https://www.hokkaido-np.co.jp/article/533103/	奄美大島	2021-04-14 16:06:00
北海道	北海道新聞	旧相馬邸　１６日から１年半ぶり開館　１４年ぶりに戻った仏壇を初公開	https://www.hokkaido-np.co.jp/article/533104/	開館	2021-04-14 16:08:37
ビジネス	東洋経済オンライン	松山英樹｢マスターズ制覇｣はどれほどの快挙か 日本人初挑戦は1936年､延べ132人が参戦 | ゴルフとおカネの切っても切れない関係 | 東洋経済オンライン	https://toyokeizai.net/articles/-/422893?utm_source=rss&utm_medium=http&utm_campaign=link_back	東洋経済オンライン	2021-04-14 16:30:00
ニュース	Newsweek	ドイツで、世界初のスマホでできる新型コロナ感染テストが開発された	https://www.newsweekjapan.jp/stories/world/2021/04/post-96073.php	これにヒントを得て、同社は年月、人の新型コロナ感染者を対象にセミック・アイスキャンのテストを開始した。	2021-04-14 16:50:48
IT	週刊アスキー	さらに進化した頭外定位ヘッドホン第3世代モデル「CZ-8A」	https://weekly.ascii.jp/elem/000/004/051/4051528/	crosszone	2021-04-14 16:50:00
IT	週刊アスキー	UQ mobile、iPhone 11の取り扱い開始　4月23日発売	https://weekly.ascii.jp/elem/000/004/051/4051539/	iphone	2021-04-14 16:40:00
IT	週刊アスキー	ソニーからXperiaの新モデル「Xperia 1 III」「Xperia 5 III」「Xperia 10 III」を発表！ 発売は初夏以降	https://weekly.ascii.jp/elem/000/004/051/4051417/	xperia	2021-04-14 16:35:00
IT	週刊アスキー	ソニーの技術を組み込み短期間でヘルスケアサービスを開発できる「X.SINCE」	https://weekly.ascii.jp/elem/000/004/051/4051355/	xsince	2021-04-14 16:30:00
IT	週刊アスキー	無印良品が「家で作るカレー」を再現。「おうちのこだわりビーフカレー」新発売	https://weekly.ascii.jp/elem/000/004/051/4051492/	無印良品	2021-04-14 16:30:00
マーケティング	AdverTimes	健康保険の大切さを訴える、健保連のWebムービー「愛のけんぽ」全7話を一挙公開	https://www.advertimes.com/20210414/article346758/	健康保険	2021-04-14 08:00:34
マーケティング	AdverTimes	佐藤卓・野老朝雄・上西祐理ら参加「グラフィックトライアル2020」開催	https://www.advertimes.com/20210414/article346837/	baton	2021-04-14 07:30:14
GCP	Cloud Blog JA	最新のウェブ アプリケーションに Google Maps Platform JavaScript を読み込む	https://cloud.google.com/blog/ja/products/maps-platform/loading-google-maps-platform-javascript-modern-web-applications/	googlemapsjsapiloaderによる動的な読み込みの例つ目のライブラリgooglemapsreactwrapperは、MapsJavaScriptAPIを必要とする子コンポーネントのラップ用のReactコンポーネントを提供します。	2021-04-14 09:00:00