投稿時間:2022-08-18 05:24:22 RSSフィード2022-08-18 05:00 分まとめ(27件)

カテゴリー等	サイト名等	記事タイトル・トレンドワード等	リンクURL	頻出ワード・要約等/検索ボリューム	登録日
AWS	AWS - Webinar Channel	Graph Database introduction, deep-dive and demo with Amazon Neptune - AWS Virtual Workshop	https://www.youtube.com/watch?v=Y6jbFC8tvVw	Graph Database introduction deep dive and demo with Amazon Neptune AWS Virtual WorkshopWith Amazon Neptune you can build and run identity knowledge fraud graph and other applications with performance that scales to more than queries per second Neptune allows you to deploy graph applications using open source APIs such as Gremlin openCypher and SPARQL Since Neptune is a fully managed database service there is no need to worry about hardware provisioning software patching setup or backups Many people are not familiar with graph databases which is why this workshop will introduce the cutting edge use cases for graph databases that span fraud detection to personalization This workshop will cover the architecture and all of the key features of Neptune We will also use this time to do a demo of Neptune in action Learning Objectives Objective Understand the benefits of Amazon Neptune by going over use cases including fraud detection personalization and advertising targeting Objective Dive deep into how open source APIs can be used to deploy applications in Neptune Objective We will also use this time to do a demo of Neptune in action To learn more about the services featured in this talk please visit	2022-08-17 19:30:05
海外TECH	MakeUseOf	How to Record, Send, and Save Animoji on Your iPhone	https://www.makeuseof.com/tag/send-save-animoji-iphone/	animoji	2022-08-17 19:15:14
海外TECH	DEV Community	Quiz - Are you ready for a promotion?	https://dev.to/intesar/quiz-are-ready-for-a-promotion-3oha	findmylevel	2022-08-17 19:09:00
海外TECH	DEV Community	Visualize YouTube Data with Plotly Express	https://dev.to/codedex/visualize-youtube-data-with-plotly-express-27cp	Visualize YouTube Data with Plotly ExpressPrerequisites Python fundamentals Microsoft ExcelVersions Python Plotly Read Time minutes IntroductionSo you want to learn about making data visualizations huh Well you re in the right spot Data visualization is translating data into a visual representation to make it easier on the human eye It makes communicating complex ideas more effective quick and easy to follow It is super important as it makes data more accessible and digestible Plotly Express makes it easy to begin learning this process It is an easy to use high level module that creates common figures such as line graphs and scatter plots Plotly was actually the first library I used when I started my journey in data In this tutorial we will create data visualizations of popular YouTube channels using Python Plotly Express and Google Colab We will use a histogram to look at subscriber counts a pie chart to compare video categories and a box plot to find patterns in the years that creators started YouTubing Let s get into it yuh Setting UpFirst visit colab research google com and start a New notebook After that make sure you have the latest version of Python on your machine You can check this by typing python version in the Windows command prompt or the terminal on Mac and Linux It would be best if you were running Python version or above Once you have checked this pull up the Plotly Express docs page It will come in handy while working Finally download the dataset used for this tutorial from down below There would not be a data visualization without some data About the DatasetFor this tutorial we will use the Most Subscribed YouTube Channels dataset from Kaggle The file is called most subscribed youtube channels csv You can download it here As the name suggests it contains data about the top YouTube channels There are seven columns rank Rank of the channel as per total subscribers youtuber Channel namesubscribers Total number of followersvideo views Total views of all the videos combinedvideo count Number of videos uploadedcategory Channel genrestarted The year that the channel startedIt looks something like We have made acquaintance with our dataset Now let s jump into some visualizations Importing the Data to Google ColabFirst things first I m the realest we are going to import our data into our notebook After downloading your dataset you should return to your handy dandy Google Colab notebook Inside the notebook go ahead and input the following from google colab import filesuploaded files upload Press the play button and there will be a prompt to upload files from your computer Look in your local drive for the dataset most subscribed youtube channels csv and upload the file You should have something like this Importing Pandas and Declaring a DataFramePandas is the most widely used open source Python package to perform data analytics To use it we will import pandas as pd pd serves as the alias nickname for referring to the Pandas package in our program After importing Pandas we will need to import io Doing this will let us import our data into a DataFrame and work with file related input output operations import pandas as pdimport ioOnce you have done that we need to create a Pandas DataFrame A Pandas DataFrame stores data as a dimensional table in Python As analysts we want to be quick in generating graphs so we can take our time analyzing and reporting our findings And DataFrames are a great way to structure our data they are fast easy to use and integral to the Python data science ecosystem You can use any shorthand name for the DataFrame variable but for this example we will use df The df variable will store the DataFrame returned from the pd read csv method To do that you would put in pd read csv io BytesIO uploaded file name csv This line reads our CSV comma separated value file and returns it as a DataFrame And lastly use the display function to show the df DataFrame You should have the following after completing the steps above import pandas as pdimport iodf pd read csv io BytesIO uploaded most subscribed youtube channels csv display df Your notebook should now look like this Notice how in some of the numeric columns there are commas in between the numbers Let s take out the commas using df df replace display df Here we are using the replace method to replace all occurrences of commas with nothing For the next section we will be creating three different graphs A histogram to look at subscriber count A pie chart to analyze video categories A box plot to explore the different years people start YouTubing Let s kick things off with the histogram Section Make a HistogramNormally people will import their library during setup However I like to have my imports and graph code together Therefore we are going to import the Plotly Python package by writing import plotly express as px px will serve as the alias for the package in this portion of the process After you have imported Plotly Express we will be ready to start on our histogram The import statement should be as follows import plotly express as pxCreating a histogram in Plotly Express is so much easier than you think Do you know how we create them Drum roll please…fig px histogram df x subscribers title Subscriber Count fig show Alright let s break down this line of code First we need to declare a variable fig fig will allow us to work with the Plotly Express library that is accessible using the px alias Remember px from earlier We use it to determine the type of graph we want to utilize For example we typed out px histogram because we wanted to plot a histogram The arguments passed in the method call are The DataFrame df The x value that needs to be displayed in the histogram Since we are looking at subscriber count in this exercise the x value will be the name of the column that contains the subscribers data in the DataFrame The name for our graph We do this through the title variable Make sure you put quotation marks around them since they are considered a string After we do this we will use fig show and the notebook should display something like this There is so much going on right now in the histogram so let s take it step by step The first thing we want to do is pay attention to our axes On the x axis we have our variable subscribers On the y axis we have the count of channels with subscribers in that range In histograms the bars show us frequency rather than a solid number of things For our example we can see a high frequency of YouTubers with between and million subscribers Also a quick shoutout to the channel all the way at the end that made it to million T Series We already know their fan base is grinding Section Make a Pie ChartWe are going to do the same thing we did before but this time we will create a pie chart For this pie chart we are going to analyze the different video categories and the top channel they belong to All we need to do is replace px histogram df x subscribers with px pie df values subscribers names category title YouTube Categories import plotly express as pxfig px pie df values subscribers names category title YouTube Categories fig show However this time we need to pass the following arguments to our method call values from our data that will represent a portion of the pie chart names that will represent the names for those regions of the pie chart For this part you would need to use a column with numeric values for the values argument and a column with string values for the names variable title to name the graph You can choose whatever name you want here but for the sake of this example we will call our graph “YouTube Categories That s it All that s left now is to display the pie chart using the fig show method You should end up with something like this Pie charts are very straightforward to read The bigger the chunk the greater quantity we have We can see here that the top category in our dataset is Music Coming in at number two is Entertainment Section Make a Box PlotI hope you all aren t too square to make a box plot Box plots can show us how spread out our data is For this example we are going to use a box plot to analyze the different years people start YouTube Sticking to the theme of simplicity all we have to do to create our box plot is input the following import plotly express as pxfig px box df y started title Years Started fig show The px box method follows the convention we have been using in this tutorial First we passed in our DataFrame df Then we passed in our y variable started Finishing things off we named our graph “Years Started And like before the graph is complete but isn t shown on the notebook page So to show the graph we use fig show method It should look something like this Like that one Tegan and Sara song let s get a little bit closer with our graph In a box plot we have our minimum value lower fence Q median Q and maximum value For this tutorial we will only be looking at our lower fence median and maximum In the lower fence we have the year This conveys that the earliest top channels got started in Talk about being there from the very start The median represents the average year our top channels started their career Ah What a time to be alive Our maximum value was This was the latest year a top channel in our dataset started As they always say it s never too late to begin your journey to the top Wrapping UpCongrats you just created three data visualizations analyzing the top dogs on YouTube Many people assume data visualization is such a complex thing but it can be as easy as running a few lines of code One piece of advice I would give you is to practice using one type of library for your first few months of learning data visualizations It will give you the opportunity to get the hang of things and learn about your preferences More ResourcesSolution on Google ColabDataset on KaggleDataset on GitHubAbout the Author Miracle Awonuga is a senior at Belmont University studying Data Science and Video Production Lately she has been working on WaffleHacks a student led hackathon as the Co Director of People and Communications	2022-08-17 19:05:00
海外TECH	DEV Community	Fastest Way To Make Money (For Programmers Only)	https://dev.to/gurpreetkaitcode/fastest-way-to-make-money-for-programmers-only-5968	Fastest Way To Make Money For Programmers Only Hey Dude Gurpreet this side again with some new stuff You may don t know who is Gurpreet But the stuff I ll share with you you will always remember I am a freelance web developer just going to join in a company soon without having a degree in cs again Well It was a little brief about me You are here because you want to make money and with money you also like doing code Then why you don t use this combination to make something better and to contribute in something so that you can have your own identity I know just saying and writing this kind of stuff doesn t mean anything But as I have said in my twitter Post If Go to Product Hunt website then you will see how many people are building products there and If I am not wrong there are plenty of developers who are learning by building and getting visibility through there work But The Question Is How To Make Quick Money As A Developer Let s see today What is difficult there and how we can do that I am not a founder here but I read some books and have good knowledge about things like that Because I am working on a Saas Product right know as Freelance Dev and also contributing in other areas of Product Come to the answer because usually I do talk about the answer rather than just counting the words in my article I heard this somewhere take risk otherwise you will have only regret What does it mean This simply means that you are a programmer and I am also But in our network many programmers out there Working for companies and providing services Because this the simple and very secure way ever And have you ever heard from any person that I learned programming and now I ll build my own App Web App that will be used by a lot of people May It sounds like a extra hype that I am trying to build But no It s not First of all Ways to earn as a programmer Working In A JobWorking as A Freelancer Small Business Building PluginsWriting E booksDoing Blogs Listen These are the ways that we might have seen in some other posts but the only way to earn money quickly is building your own software and It can be a social application or a particular BB service provider But this the only way you can control your time and the limit is nothing there How much you can earn no limit what you can provider not limit how much you can charge per user no limit But on the other side there are limits In freelancing you cannot earn maximum if you are working hours In Job you cannot earn millions until it s Google or Facebook etc So The thing is to build your own I am also building bro Just get into the flow then may be not today but one day we would get least one successful product in the public Thanks for reading Let s connect on Twitter and Do visit my website for same interesting content about software s and programming too	2022-08-17 19:04:00
Apple	AppleInsider - Frontpage News	AppleInsider is hiring writers - apply now!	https://appleinsider.com/articles/21/11/16/appleinsider-is-hiring-east-and-west-coast-editors---apply-now?utm_medium=rss	AppleInsider is hiring writers apply now Do you obsess over Apple news and rumors Do you roll out of bed and hit your favorite Apple news sites before concerning yourself with the broader aspects of life Do you like teaching people how to use that iPhone or iPad We may have the perfect opportunity for you AppleInsider is HiringAppleInsider ーthe definitive stop for insider Apple news rumors analysis and reviews ーseeks passionate energetic and self motivated writers with unique skill sets that can enrich our audience of millions Read more	2022-08-17 19:36:33
海外TECH	Engadget	Nintendo is reportedly investigating claims of sexual misconduct	https://www.engadget.com/nintendo-investigates-sexual-misconduct-claims-194740757.html?src=rss	Nintendo is reportedly investigating claims of sexual misconductNintendo may respond quickly to allegations of sexual discrimination and harassment at its American division A Kotakusource has reportedly shared a company wide message from Nintendo of America President Doug Bowser revealing that the Switch creator is quot actively investigating quot the misconduct claims The firm quot will always quot look into assertions like these and encourages workers to report violations Bowser reportedly said We ve asked Nintendo for comment The company has previously reacted to incidents elsewhere in the industry however In November Bowser said the accusations behind the Activision Blizzard scandal were quot distressing and disturbing quot Days later Nintendo pledged to increase the number of female managers Several female game testers told Kotaku that they d faced multiple forms of harassment and discrimination at Nintendo Senior ranking testers allegedly made unwanted advances and comments Anti LGBT remarks pay gaps and attempts to suppress criticism were also part of the workplace culture according to the allegations Female workers are believed to be underrepresented at Nintendo as a whole percent and particularly among contract based game testers percent It s too soon to know if any investigation will lead to firings or reforms If accurate however the scoop is a reminder that misconduct complaints haven t been limited to one developer Activision Blizzard Ubisoft and others have had to address concerns as well ーit may reflect cultural issues across the industry	2022-08-17 19:47:40
Cisco	Cisco Blog	Chipping Away at Game-Changing Operational Efficiency	https://blogs.cisco.com/learning/chipping-away-at-game-changing-operational-efficiency	changing	2022-08-17 19:43:43
海外科学	NYT > Science	Raymond Damadian, Creator of the First M.R.I. Scanner, Dies at 86	https://www.nytimes.com/2022/08/17/science/raymond-damadian-dead.html	Raymond Damadian Creator of the First M R I Scanner Dies at Incensed when two others won the Nobel Prize for the science behind the invention he took out a newspaper ad that called his exclusion a “shameful wrong that must be righted	2022-08-17 19:50:04
海外科学	NYT > Science	Russia Fights Efforts to Declare It an Exporter of ‘Blood Diamonds’	https://www.nytimes.com/2022/08/16/climate/russia-conflict-diamonds-kimberley-process.html	Russia Fights Efforts to Declare It an Exporter of Blood Diamonds As a major diamond producer Russia earns billions of dollars that other nations say help finance war The clash exposes the many loopholes in regulation of conflict diamonds	2022-08-17 19:09:35
医療系	医療介護 CBnews	在宅復帰に積極的な慢性期病院の強さ-データで読み解く病院経営（156）	https://www.cbnews.jp/news/entry/20220817135843	代表取締役	2022-08-18 05:00:00
ニュース	BBC News - Home	UK weather: Storms and rain bring flash floods to southern England	https://www.bbc.co.uk/news/uk-62574134?at_medium=RSS&at_campaign=KARANGA	office	2022-08-17 19:22:23
ニュース	BBC News - Home	Western and Southern Open: Emma Raducanu thrashes Victoria Azarenka in Cincinnati	https://www.bbc.co.uk/sport/tennis/62584396?at_medium=RSS&at_campaign=KARANGA	Western and Southern Open Emma Raducanu thrashes Victoria Azarenka in CincinnatiBritish number one Emma Raducanu produces another eye catching display as she thrashes Victoria Azarenka less than hours after beating Serena Williams	2022-08-17 19:29:17
ニュース	BBC News - Home	European Championships: Sweden's Jesper Hellstrom's unusual triple jump attempt	https://www.bbc.co.uk/sport/av/athletics/62583566?at_medium=RSS&at_campaign=KARANGA	European Championships Sweden x s Jesper Hellstrom x s unusual triple jump attemptWatch as Sweden s Jesper Hellstrom slips and goes head first during the triple jump final at the European Championships in Munich	2022-08-17 19:24:22
ビジネス	ダイヤモンド・オンライン - 新着記事	「面倒見のよい」歯学部を格付け！【私立17大学】入りやすいのに国家試験合格率が高いのは？ - 決定版 後悔しない「歯科治療」	https://diamond.jp/articles/-/307807	医師国家試験	2022-08-18 04:55:00
ビジネス	ダイヤモンド・オンライン - 新着記事	即戦力採用の極意とは？人材獲得競争は「マーケティング」で勝つ！【ビズリーチ多田洋祐氏・動画】 - 人事部の9割が知らない「採用」成功方程式	https://diamond.jp/articles/-/308135	即戦力採用の極意とは人材獲得競争は「マーケティング」で勝つ【ビズリーチ多田洋祐氏・動画】人事部の割が知らない「採用」成功方程式中途採用において、転職者が選考を受ける企業は社から社。	2022-08-18 04:50:00
ビジネス	ダイヤモンド・オンライン - 新着記事	SNS「いいね！」依存症の現代人に心理学博士が処方箋、承認欲求の対処法は？ - 「スマホ依存」が映す現代人の闇	https://diamond.jp/articles/-/307913		2022-08-18 04:45:00
ビジネス	ダイヤモンド・オンライン - 新着記事	値上げラッシュを「前払い」で乗り切る！固定費はチリツモ節約で大差 - お金のプロが読む！ニュース解説室	https://diamond.jp/articles/-/307955	値上げラッシュを「前払い」で乗り切る固定費はチリツモ節約で大差お金のプロが読むニュース解説室厳しい物価高に悲鳴を上げている家庭は多いでしょう。	2022-08-18 04:40:00
ビジネス	ダイヤモンド・オンライン - 新着記事	伊藤忠が「ファミマの物流」を激変、配送車を7割減らした方法とは - 伊藤忠 財閥系を凌駕した野武士集団	https://diamond.jp/articles/-/307056	集団	2022-08-18 04:35:00
ビジネス	ダイヤモンド・オンライン - 新着記事	円安に歯止めはかかるのか、円安収束「3つのケース」の現実味 - 政策・マーケットラボ	https://diamond.jp/articles/-/308164	押し上げ	2022-08-18 04:30:00
ビジネス	ダイヤモンド・オンライン - 新着記事	武田薬品に「第2の東芝化」ちらつく、高配当維持しか評価されない経営の末路 - 医薬経済ONLINE	https://diamond.jp/articles/-/307734	online	2022-08-18 04:25:00
ビジネス	ダイヤモンド・オンライン - 新着記事	ヤマト・佐川・日本郵便の「宅配」伸び率が鈍化、巣ごもり特需に異変の要因は？ - 物流専門紙カーゴニュース発	https://diamond.jp/articles/-/308106		2022-08-18 04:20:00
ビジネス	ダイヤモンド・オンライン - 新着記事	東京大空襲で地下鉄への避難が禁じられた理由、コロナ医療崩壊に通じる日本の悪習 - 情報戦の裏側	https://diamond.jp/articles/-/308165	医療崩壊	2022-08-18 04:15:00
ビジネス	ダイヤモンド・オンライン - 新着記事	日本の脱炭素化は「化石賞」、ウクライナ前に決定したエネルギー基本計画の深刻度 - 野口悠紀雄　新しい経済成長の経路を探る	https://diamond.jp/articles/-/308148	温室効果ガス	2022-08-18 04:10:00
ビジネス	ダイヤモンド・オンライン - 新着記事	“中国のハワイ”で観光客が「足止め・ぼったくり」被害…政府系メディアがお粗末反論 - 莫邦富の中国ビジネスおどろき新発見	https://diamond.jp/articles/-/308142	中国ビジネス	2022-08-18 04:05:00
ビジネス	東洋経済オンライン	滋賀･呼吸器事件｢冤罪｣暴いた記者が問う"歪み" 7回の有罪判決も調査報道が明らかにした真実 | 災害･事件･裁判 | 東洋経済オンライン	https://toyokeizai.net/articles/-/611672?utm_source=rss&utm_medium=http&utm_campaign=link_back	入院患者	2022-08-18 05:00:00
ビジネス	東洋経済オンライン	31億円のロールス･ロイス｢真の価値｣は何か？ ボート･テイル第2弾がヴィラ･デステで発表 | 越湖信一のスーパーカー列伝 | 東洋経済オンライン	https://toyokeizai.net/articles/-/610543?utm_source=rss&utm_medium=http&utm_campaign=link_back	東洋経済オンライン	2022-08-18 04:30:00