投稿時間:2023-01-11 17:16:55 RSSフィード2023-01-11 17:00 分まとめ(20件)

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IT	気になる、記になる…	Rakuten Music、ウェブブラウザで楽曲のフル再生ができる｢Webプレイヤー｣を提供開始	https://taisy0.com/2023/01/11/166951.html	music	2023-01-11 07:58:32
IT	InfoQ	Android Extension SDK Aims to Simplify the Use of Modular System Components	https://www.infoq.com/news/2023/01/android-extension-sdk/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=global	Android Extension SDK Aims to Simplify the Use of Modular System ComponentsIntroduced with Android Modular System Components enable updating end user devices outside of the normal Android release cycles The new Extension SDK framework now public aims to make their integration simpler for developers By Sergio De Simone	2023-01-11 08:00:00
IT	ITmedia 総合記事一覧	[ITmedia News] Twitter Blueが来た！　どんな機能がある？　登録して試してみた	https://www.itmedia.co.jp/news/articles/2301/11/news146.html	itmedianewstwitterblue	2023-01-11 16:45:00
IT	ITmedia 総合記事一覧	[ITmedia ビジネスオンライン] ヘッドスパの専門店「悟空のきもち」、「悟空SPA渋谷店」をオープン　1000席が1分55秒で完売	https://www.itmedia.co.jp/business/articles/2301/11/news133.html	itmedia	2023-01-11 16:04:00
IT	ITmedia 総合記事一覧	[ITmedia PC USER] Micron、PCIe Gen4データセンター向けのU.3 SSD　最大30TBモデルを用意	https://www.itmedia.co.jp/pcuser/articles/2301/11/news141.html	itmediapcusermicron	2023-01-11 16:04:00
IT	情報システムリーダーのためのIT情報専門サイト IT Leaders	キンドリル、インフラSIサービスのユースケースを「Kyndryl Vital/Consult」としてメニュー化 | IT Leaders	https://it.impress.co.jp/articles/-/24292	キンドリル、インフラSIサービスのユースケースを「KyndrylVitalConsult」としてメニュー化ITLeadersインフラを対象としたSIシステム構築運用サービスを提供しているキンドリルジャパンは年月日、会見を開き、「KyndrylVital」および「KyndrylConsult」の名称で年に新たに体系化したSIサービスの内容を説明した。	2023-01-11 16:06:00
AWS	AWS Japan Blog	Amazon Transcribe と Amazon Kendra を使って、音声ファイルや動画ファイルを検索可能にする	https://aws.amazon.com/jp/blogs/news/make-your-audio-and-video-files-searchable-using-amazon-transcribe-and-amazon-kendra/	videofilessearchableusin	2023-01-11 07:01:42
python	Pythonタグが付けられた新着投稿 - Qiita	MVtecADデータセットでCNNを雑に構築してみる　未完成	https://qiita.com/shimura0918/items/87f6242a97eb732eae18	kerasfromkeraslayersimp	2023-01-11 16:51:47
js	JavaScriptタグが付けられた新着投稿 - Qiita	初心者「Next13でGSAPしたい・・・！（怒涛のエラー）」	https://qiita.com/Riku_zako/items/c5624f2e0bdd5a7a5c05	hooks	2023-01-11 16:52:01
Ruby	Rubyタグが付けられた新着投稿 - Qiita	Rubyで高速に任意のリファレンスゲノムの特定のポジションの配列を取得する	https://qiita.com/kojix2/items/fd00ab561fa515993390	python	2023-01-11 16:40:13
AWS	AWSタグが付けられた新着投稿 - Qiita	はじめての投稿	https://qiita.com/chin_taka/items/7f43e1a15ad8b7e76db3	都度	2023-01-11 16:56:46
Ruby	Railsタグが付けられた新着投稿 - Qiita	メールアドレスにバリデーションをかける	https://qiita.com/masatom86650860/items/a404803a7c3c461f7e24	lpresencetrueuniquenesstr	2023-01-11 16:22:45
海外TECH	DEV Community	Exploring Different Types of Plots, Best Practices, and Tips for Effective Data Visualization	https://dev.to/anurag629/exploring-different-types-of-plots-best-practices-and-tips-for-effective-data-visualization-ina	Exploring Different Types of Plots Best Practices and Tips for Effective Data Visualization Day of Days Data Science Bootcamp from noob to expert GitHub link Complete Data Science Bootcamp Main Post Complete Data Science Bootcamp Recap Day Yesterday we have studied in detail Pandas in Python Let s StartMatplotlib is a plotting library for the Python programming language and its numerical mathematics extension NumPy It provides an object oriented API for embedding plots into applications using general purpose GUI toolkits like Tkinter wxPython Qt or GTK Matplotlib is a powerful tool for data visualization in data science and can be used to create a wide variety of plots including line plots scatter plots bar plots histograms D plots and more Some of the key features of matplotlib include support for customizable plot styles and color maps interactive plot manipulation and a variety of export options for creating publication quality figures Line Plot A line plot is a way to display data along a number line It is useful to show trends over time or to compare multiple sets of data It is created using the plot function in matplotlib which takes in the x and y data as arguments In the example I gave the x data is an array of evenly spaced points between and and the y data is the sine of x values x np linspace y np sin x plt plot x y plt xlabel X plt ylabel sin X plt title Line plot plt show Scatter Plot A scatter plot is used to show the relationship between two variables It is created using the scatter function in matplotlib which takes in the x and y data as arguments In the example I gave x and y are arrays of random values generated using the random normal function from numpy It shows the correlation or distribution of data points x np random normal loc scale size y np random normal loc scale size plt scatter x y plt xlabel X plt ylabel Y plt title Scatter plot plt show Bar Plot A bar plot is used to compare the values of different categories It is created using the bar function in matplotlib which takes in the x and y data as arguments In the example I gave x data is an array of categorical values A B C D and y data is an array of values x np array A B C D y np array plt bar x y plt xlabel Category plt ylabel Value plt title Bar plot plt show Histogram A histogram is used to show the distribution of a single variable It is created using the hist function in matplotlib which takes in the data and the number of bins as arguments In the example I gave the data is an array of random values generated using the random normal function from numpy and number of bins is The histogram plot shows the frequency of values in different bins where each bin represents a range of values x np random normal loc scale size plt hist x bins plt xlabel X plt ylabel Frequency plt title Histogram plt show Box Plot A box plot is used to show the distribution and outliers of a set of data It is created using the boxplot function in seaborn which takes in the data and the variables to plot as arguments In the example I gave the data is an array of random values generated using the random normal function from numpy import seaborn as snsx np random normal loc scale size sns boxplot x x plt xlabel X plt title Box plot plt show Heatmap A heatmap is used to visualize large data with multiple variables It is created using the heatmap function in seaborn which takes in the data as an argument In the example I gave the data is a D array of random values generated using the random normal function from numpy The color of the cells represents the value of each element in the matrix x np random normal loc scale size sns heatmap x plt title Heatmap plt show Violin Plot Violin Plots are similar to box plots but also display the probability density of the data at different values They can be created using the violinplot function in seabornx np random normal loc scale size sns violinplot x plt xlabel X plt title Violin plot plt show Swarm Plot A swarm plot is used to show the distribution of a single categorical variable It is created using the swarmplot function in seaborn which takes in the data and the variables to plot as arguments In the example I gave the x data is an array of random values generated using the random normal function from numpy and y data is an array of categorical values x np random normal loc scale size y np random randint size sns swarmplot x x y y plt xlabel X plt ylabel Category plt title Swarm plot plt show Pie Chart A pie chart is used to show the proportion of different categories in a single variable It is created using the pie function in matplotlib which takes in the data and the labels as arguments In the example I gave the data is an array of values representing the size of each category and the labels are the names of each category Additionally you can use the autopct parameter to add the numerical value of each slice on the chart sizes labels Frogs Hogs Dogs Logs plt pie sizes labels labels autopct f plt axis equal plt title Pie chart plt show Stacked Bar Plot A stacked bar plot is used to show the breakdown of one variable by another It is created using the bar function in matplotlib and bottom attribute of bar function In the example I gave Two sets of data are plotted as separate bars one on top of the other to show the breakdown of one variable by another The legend is used to distinguish between the two sets of data N menMeans womenMeans menStd womenStd ind np arange N the x locations for the groupswidth the width of the bars can also be len x sequencep plt bar ind menMeans width yerr menStd p plt bar ind womenMeans width bottom menMeans yerr womenStd plt ylabel Scores plt title Scores by group and gender plt xticks ind G G G G G plt yticks np arange plt legend p p Men Women plt show In conclusion Matplotlib and Seaborn are powerful libraries for data visualization in data science They provide a wide range of options for creating different types of plots from simple line plots to more complex heatmaps and violin plots Each type of plot has its own strengths and can be used to effectively communicate different types of information When creating plots it s important to consider the context of your data and the audience for your plots Choosing the right type of plot depends on the nature of your data and what you want to communicate with your plot Additionally you should also pay attention to the details of the plot like labels scales and colors to make sure your plot is easy to read and understand Lastly always keeping in mind the data you have and what are the important information you want to show this will make sure that you choose the right type of plot and customize it to convey the correct information in a clear and efficient way Exercise Question you will find in the exercise notebook of Day on GitHub If you liked it then	2023-01-11 07:44:29
海外TECH	DEV Community	A Comprehensive Guide to Using the Pytrends Python Library	https://dev.to/ramanbansal/a-comprehensive-guide-to-using-the-pytrends-python-library-3l0d	A Comprehensive Guide to Using the Pytrends Python Library IntroductionWith Pytrends users can easily visualize the data they have collected as well as create custom reports and dashboards Additionally Pytrends offers tutorials and documentation to help users get started with the library In this article we will discuss what Pytrends is and how it works so that you can start using it for your own data analysis projects How to Install amp Set Up the Pytrends Python LibraryInstalling and setting up the Pytrends Python library is easy and straightforward Here is the pip command that you need to run for installationpip install pytrends Exploring the Different Features of the Pytrends Python Library Connecting to googleOne of the initial steps for using pytrends is to connect it with Google and we need to import TrendReq from pytrends request Also pandas library for data visualization import pandas as pdfrom pytrends request import TrendReqpytrend TrendReq Intreset By RegionLet s say we need to find the intreset of people of different countries in a given keyword For this we will use interest by region method to gennerate a dataFrame which shows what proportions of people are interested in the given topic kw Python pytrend build payload kw list kw df pytrend interest by region df head The values goes from to Dialy TrendsNow let us get the top daily search trends worldwide To do this we have to use the trending searches method If you want to search worldwide just don t pass any parameter Pytrends API gives the facility to checkout the dialy search trends from worldwide trending searches method we get a report of trending searches but for a country just pass parameter pndf pytrend trending searches pn india df head You should enter the country name in lowercase Past trendsWith top charts method we can get the top trending searches yearly df pytrend top charts hl en IN tz geo GLOBAL df head Keyword SuggestionWhenever we search on google it will start giving suggestions according to the query given To generate a list of suggestions we need suggestions method keyword Python data pytrend suggestions keyword df pd DataFrame data df head Related Queries amp TopicsRelated queries means the queries related to the keyword pytrend build payload kw list Python related queries pytrend related queries related queries values related topic pytrend related topics related topic values Thanks for reading	2023-01-11 07:26:11
海外TECH	Engadget	Apple will reportedly start using in-house displays for its watches by 2024	https://www.engadget.com/apple-in-house-screen-2024-watch-070051915.html?src=rss	Apple will reportedly start using in house displays for its watches by Apple will begin replacing its mobile devices displays with its in house screen technology as soon as next year according to Bloomberg The tech giant will reportedly start with its highest end Apple Watches in late and will swap the devices current OLED screens with its own microLED technology Bloomberg says Apple s homegrown display tech will also make its way to its other devices including the iPhone The new display is brighter with more vibrant colors and will reportedly make it seem as if watchfaces and other content are painted on top of the glass Plus it can be viewed better at an angle The publication first reported about Apple s efforts to develop its own display way back in Apparently Apple was originally working to introduce its technology in but it was hampered by the costs and technical challenges associated with the development Those same concerns also prevented the company from including larger displays in its plans and had prompted it to focus on making the Watch the first device with its in house screen nbsp Despite the delay and potential future delays ーApple might push back the display s debut to Bloomberg s sources said ーthe technology is one of the company s most critical projects The tech giant has reportedly spent several billion dollars on its development and is already testing the new screen on an update to the Apple Watch Ultra It s also test manufacturing the screens in its facility in Santa Clara California though it may ultimately outsource its mass production As Bloomberg notes Apple s shift to its own displays could be a big blow to its suppliers mainly Samsung and LG But the manufacturers may have been bracing for it for quite some time now After all it s no secret that Apple has been developing its own components in a bid to lessen reliance on third party companies It had previously moved away from Intel processors to its own chips for Mac computers and its reportedly planning to use its own wireless chipsets in iPhones by	2023-01-11 07:00:51
ニュース	BBC News - Home	Record Christmas for Sainsbury's despite rising costs	https://www.bbc.co.uk/news/business-64225230?at_medium=RSS&at_campaign=KARANGA	festive	2023-01-11 07:54:47
ニュース	BBC News - Home	The Papers: 'Workers face strike ban' and 'prince of sales'	https://www.bbc.co.uk/news/blogs-the-papers-64231544?at_medium=RSS&at_campaign=KARANGA	memoir	2023-01-11 07:31:56
ビジネス	不景気.com	米仮想通貨取引所大手「コインベース」が950名を追加削減 - 不景気com	https://www.fukeiki.com/2023/01/coinbase-cut-950-job.html	仮想通貨取引所	2023-01-11 07:23:49
IT	週刊アスキー	キングジム、スマホ専用「テプラ PRO」の低価格モデル「SR-R2500P」を発表	https://weekly.ascii.jp/elem/000/004/120/4120075/	発表	2023-01-11 16:50:00
IT	週刊アスキー	PayPayほけん、「インフルエンザお見舞い金」 入院で最大3万円が最短即日受け取れる	https://weekly.ascii.jp/elem/000/004/120/4120074/	paypay	2023-01-11 16:30:00