投稿時間:2023-02-28 22:30:17 RSSフィード2023-02-28 22:00 分まとめ(40件)

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IT	気になる、記になる…	モンスター育成シミュレーションゲーム｢LINE：モンスターファーム｣が正式サービス開始	https://taisy0.com/2023/02/28/169031.html	育成シミュレーションゲーム	2023-02-28 12:19:21
IT	気になる、記になる…	ドコモオンラインショップ、3月1日より｢iPad (第9世代)｣の一部モデルの割引を終了へ	https://taisy0.com/2023/02/28/169029.html	終了	2023-02-28 12:02:37
IT	ITmedia 総合記事一覧	[ITmedia ビジネスオンライン] glo用「ラッキー・ストライク」、本格冷感メンソール2銘柄を発売	https://www.itmedia.co.jp/business/articles/2302/28/news209.html	ITmediaビジネスオンラインglo用「ラッキー・ストライク」、本格冷感メンソール銘柄を発売ブリティッシュ・アメリカン・タバコ・ジャパン東京都港区は、加熱式たばこ専用デバイス「gloTMhyperグロー・ハイパー」シリーズ専用たばこスティックとして「ラッキー・ストライク・ダーク・メンソール・glohyper用」「ラッキー・ストライク・ダーク・イエロー・メンソール・glohyper用」の銘柄を販売している。	2023-02-28 21:45:00
IT	ITmedia 総合記事一覧	[ITmedia ビジネスオンライン] 満足度が高い英会話スクール　3位「ECC外語学院」、2位「イーオン」、1位は？	https://www.itmedia.co.jp/business/articles/2302/28/news191.html	itmedia	2023-02-28 21:32:00
IT	ITmedia 総合記事一覧	[ITmedia ビジネスオンライン] 保護者が選ぶ通信教育の満足度ランキング　小中学生向け1位は？	https://www.itmedia.co.jp/business/articles/2302/28/news184.html	itmedia	2023-02-28 21:19:00
IT	ITmedia 総合記事一覧	[ITmedia ビジネスオンライン] 満足度が高いネット証券　3位「松井証券」、2位「楽天証券」、1位は？	https://www.itmedia.co.jp/business/articles/2302/28/news179.html	ideco	2023-02-28 21:15:00
IT	ITmedia 総合記事一覧	[ITmedia ビジネスオンライン] 1月に聴かれたアーティスト　「back number」を抑えて1位になったのは？	https://www.itmedia.co.jp/business/articles/2302/28/news215.html	backnumber	2023-02-28 21:10:00
python	Pythonタグが付けられた新着投稿 - Qiita	PythonでのAPIの叩き方	https://qiita.com/TanimotoRui/items/38d27334816e728f5189	header	2023-02-28 21:54:30
python	Pythonタグが付けられた新着投稿 - Qiita	Python で C# っぽいイベント機構を使うためのクラス	https://qiita.com/DJ_Kaosun/items/9d9d0d606f9bb37d3103	chatgpt	2023-02-28 21:05:11
js	JavaScriptタグが付けられた新着投稿 - Qiita	TypeScriptでLINE Botを開発してみた（備忘録）	https://qiita.com/tak_11/items/b4d74bee29a501235c72	linebot	2023-02-28 21:53:48
js	JavaScriptタグが付けられた新着投稿 - Qiita	JS CSS HTMLだけでブロックくずしゲームを作ってみた	https://qiita.com/coret/items/f0ba5871bf3dafc0f26e	javascript	2023-02-28 21:47:16
Linux	Ubuntuタグが付けられた新着投稿 - Qiita	~/.ssh/にあるファイルと多段階ssh	https://qiita.com/shintaro0930/items/991413d3f4aa8430be39	hostsconfigauthorizedk	2023-02-28 21:02:55
AWS	AWSタグが付けられた新着投稿 - Qiita	AWS認定クラウドプラクティショナー(CLF)を英語で受験してみた	https://qiita.com/gracefulm/items/609344f1605ceea8f7ca	認定	2023-02-28 21:17:19
golang	Goタグが付けられた新着投稿 - Qiita	Ginを利用して新規登録、ログイン機能をJWT認証で実装（新規登録編）	https://qiita.com/soicchi/items/968568c839c182098a48	認証	2023-02-28 21:28:40
GCP	gcpタグが付けられた新着投稿 - Qiita	外部のsshでGCPのVMインスタンスにアクセスできないときはメタデータを確認しよう！	https://qiita.com/ultrataihen/items/9fdf373b6f365afc29fa	oslogin	2023-02-28 21:43:42
Azure	Azureタグが付けられた新着投稿 - Qiita	Cybersecurity Architect Expert 認定資格（SC-100）取った話	https://qiita.com/hiro10149084/items/f0df0ace1b9fbde0023b	tifiedcybersecurityarchit	2023-02-28 21:34:19
技術ブログ	Developers.IO	Amazon Linux 2023 の Docker イメージが提供されていたので Snyk Container でパッケージのバージョン情報を確認してみた	https://dev.classmethod.jp/articles/amazon-linux-2023-package-check-with-snyk-container/	amazon	2023-02-28 12:04:08
海外TECH	MakeUseOf	The Top 5 Ethereum Blockchain Alternatives That Support NFTs	https://www.makeuseof.com/ethereum-alternative-blockchains-that-support-nfts/	alternatives	2023-02-28 12:15:17
海外TECH	DEV Community	audioFlux: A library for audio and music analysis, feature extraction.	https://dev.to/audioflux/audioflux-a-library-for-audio-and-music-analysis-feature-extraction-3g6m	audioFlux A library for audio and music analysis feature extraction Category Submission C Python Screenshots DescriptionA library for audio and music analysis and feature extraction which supports dozens of time frequency analysis and transformation methods as well as hundreds of corresponding time domain and frequency domain feature combinations can be provided to the deep learning network for training and can be used to study the classification separation music information retrieval MIR ASR and other tasks in the audio field Link to Source Code Permissive LicenseMIT How I built itSystematic and multi dimensional feature extraction and combination can be flexibly used for various task research and analysis The performance is efficient the core is mostly implemented in C and FFT hardware acceleration based on different platforms is convenient for large scale data feature extraction It is applicable to the mobile end and supports real time calculation of audio stream at the mobile end Additional Resources InfoDocument Code Demo pip install audiofluximport numpy as npimport audioflux as afimport matplotlib pyplot as pltfrom audioflux display import fill spec Get a Hz s audio file pathsample path af utils sample path Read audio data and sample rateaudio arr sr af read sample path Extract mel spectrogramspec arr mel fre band arr af mel spectrogram audio arr num radix exp samplate sr spec arr np abs spec arr Extract mfccmfcc arr af mfcc audio arr cc num mel num radix exp samplate sr Displayaudio len audio arr shape calculate x y coordsx coords np linspace audio len sr spec arr shape y coords np insert mel fre band arr fig ax plt subplots img fill spec spec arr axes ax x coords x coords y coords y coords x axis time y axis log title Mel Spectrogram fig colorbar img ax ax fig ax plt subplots img fill spec mfcc arr axes ax x coords x coords x axis time title MFCC fig colorbar img ax ax plt show	2023-02-28 12:20:38
海外TECH	DEV Community	Exploratory Data Analysis Ultimate Guide	https://dev.to/okuku_okal/exploratory-data-analysis-ultimate-guide-3480	Exploratory Data Analysis Ultimate GuideExploratory Data Analysis EDA is the process of analyzing data to summarize its main characteristics often with visual methods It is a critical step in the data analysis pipeline because it helps to understand the data and identify any issues or insights that may be hidden in it This article serves as a comprehensive guide to EDA covering its key concepts best practices and examples of how to perform EDA on real world datasets from Kaggle Objectives of Exploratory Data AnalysisIdentifying and removing data outliersIdentifying trends in time and space Uncovering patterns related to the targetCreating hypotheses and testing them through experimentsIdentifying new sources of dataTypes of Exploratory Data AnalysisUnivariate AnalysisThe output is a single variable and all data collected is for it There is no cause and effect relationship at all Bivariate AnalysisThe outcome is dependent on two variables while the relation with it is compared with two variables Multivariate AnalysisThe outcome is more than two The analysis of data is done on variables that can be numerical or categorical The result of the analysis can be represented in numerical values visualization or graphical form Key Concepts of EDABefore diving into the details of how to perform EDA it is important to understand some of the key concepts that underpin it Data CleaningData cleaning is the process of identifying and correcting errors inaccuracies and inconsistencies in the data This is an essential step in the EDA process because it ensures that the analysis is based on accurate and reliable data Some common data cleaning techniques include removing duplicates handling missing values and correcting inconsistent data formats For example if a dataset contains missing values you may choose to either remove those rows or fill them in with a reasonable estimate Data VisualizationData visualization is a crucial aspect of EDA because it helps to identify patterns trends and relationships within the data It involves creating charts graphs and other visual representations of the data that can be easily understood by both technical and non technical audiences Some common types of data visualizations include histograms scatter plots and heat maps For example a scatter plot can be used to visualize the relationship between two variables while a histogram can be used to visualize the distribution of a single variable Data AnalysisData analysis is the process of using statistical and mathematical techniques to extract insights from the data This involves identifying patterns trends and relationships within the data as well as making predictions and drawing conclusions based on those insights Some common data analysis techniques include regression analysis hypothesis testing and clustering For example regression analysis can be used to identify the relationship between two variables while hypothesis testing can be used to determine whether a particular hypothesis is statistically significant Best Practices for EDAWhen performing EDA there are several best practices that you should follow to ensure that your analysis is accurate and reliable Start with a Clear Question or HypothesisBefore beginning your analysis it is important to have a clear question or hypothesis that you are trying to answer This will help to guide your analysis and ensure that you are focusing on the most relevant aspects of the data For example if you are analyzing a dataset on customer behavior you may want to start by asking questions such as What factors are driving customer purchases or What are the key drivers of customer loyalty Keep an Open MindWhile it is important to have a clear question or hypothesis it is also important to keep an open mind and be willing to explore unexpected insights or patterns in the data This can often lead to new and valuable insights that may not have been considered otherwise Use Multiple Methods of AnalysisTo ensure that your analysis is robust and reliable it is important to use multiple methods of analysis This can include both quantitative and qualitative methods such as statistical analysis data visualization and expert interviews Document Your Analysis ProcessFinally it is important to document your analysis process to ensure that your results are reproducible and transparent This can involve keeping a detailed record of the data cleaning and analysis techniques used as well as any assumptions or limitations of the analysis Example EDA on the Titanic DatasetThis dataset contains information about passengers on the Titanic including their demographics ticket class and survival status The goal of this dataset is to predict which passengers survived the sinking of the Titanic based on the given features Loading the DataTo begin we will load the Titanic dataset from Kaggle into a Pandas DataFrame import pandas as pdtitanic df pd read csv train csv This code reads in the Titanic dataset from a CSV file and stores it in a Pandas DataFrame called titanic df Understanding the DataThe next step in EDA is to gain a basic understanding of the data by exploring its characteristics such as the size and shape of the dataset the data types of each column and the summary statistics of the variables print titanic df shape print titanic df dtypes print titanic df describe The first line of code prints the size and shape of the dataset which shows that there are rows and columns in the Titanic dataset The second line of code prints the data types of each column which shows that there are both numerical and categorical variables in the dataset The third line of code prints summary statistics of the numerical variables in the dataset including the count mean standard deviation minimum and maximum values for each variable From this output we can see that the average age of passengers on the Titanic was years old and that the majority of passengers did not travel with parents or children Cleaning the DataAfter gaining a basic understanding of the data the next step is to clean the data by addressing any missing or erroneous values removing duplicate data and transforming the data into a format that is suitable for analysis One common issue with datasets is missing values We can use the isnull function to identify missing values in the Titanic dataset print titanic df isnull sum This code prints the number of missing values for each column in the dataset From this output we can see that there are missing values for the Age column missing values for the Cabin column and missing values for the Embarked column We can also drop columns that have a large number of missing values such as the Cabin column titanic df drop columns Cabin inplace True This code drops the Cabin column using the drop function and the inplace True parameter which modifies the DataFrame in place Finally we can transform categorical variables into numerical variables using techniques such as one hot encoding For example we can create dummy variables for the Sex column sex dummies pd get dummies titanic df Sex prefix Sex titanic df pd concat titanic df sex dummies axis This code creates dummy variables for the Sex column using the get dummies function and then concatenates the dummy variables with the original DataFrame using the concat function and the axis parameter Visualizing the DataOnce the data has been cleaned and prepared the next step is to visualize the data using various charts and graphs to understand its characteristics One of the most important things to understand about the Titanic dataset is the survival rate of the passengers We can create a bar chart to visualize the survival rate based on gender import matplotlib pyplot as pltsurvived titanic df groupby Sex Survived sum total titanic df groupby Sex Survived count survival rate survived totalplt bar survival rate index survival rate values plt title Survival Rate by Gender plt xlabel Gender plt ylabel Survival Rate plt show This code calculates the survival rate for each gender and then creates a bar chart to visualize the results From this chart we can see that the survival rate for women was much higher than the survival rate for men We can also create a histogram to visualize the distribution of passenger ages plt hist titanic df Age bins plt title Distribution of Passenger Ages plt xlabel Age plt ylabel Frequency plt show This code creates a histogram with bins to visualize the distribution of passenger ages From this chart we can see that the majority of passengers were between and years old Analyzing the DataThe final step in the EDA process is to analyze the data and draw insights from it One way to do this is to create a correlation matrix to identify the relationships between different variables in the dataset import seaborn as snscorr matrix titanic df corr sns heatmap corr matrix annot True plt title Correlation Matrix plt show This code creates a correlation matrix using the corr function from Pandas and then visualizes it using a heatmap from the Seaborn library From this chart we can see that there is a strong negative correlation between passenger class and survival rate meaning that passengers in higher classes were more likely to survive We can also see a strong positive correlation between the number of siblings spouses on board and the number of parents children on board indicating that families tended to travel together ConclusionEDA is a powerful tool that can be used to uncover valuable insights from data and by following the best practices outlined in this article analysts can ensure that their analysis is accurate reliable and transparent	2023-02-28 12:17:49
海外TECH	DEV Community	Under the Hood of Ecto	https://dev.to/appsignal/under-the-hood-of-ecto-n1a	Under the Hood of EctoEcto is a toolkit for mapping database objects to Elixir structs and provides a unified interface to manipulate that data In this post we will dive into the internals of Ecto ーits major components their functions and how they work In doing so we ll demystify some of the apparent magic behind Ecto Let s get going Ecto s ModulesEcto is made up of four major modules ーRepo Query Schema and Changeset We ll look at each in turn Let s start with the Repo module Repo ModuleIf you use Ecto with a database like most users out there Repo is the heart of Ecto It binds everything together and provides a centralized point of communication between a database and your application Repo maintains connectionsexecutes queries against a databaseprovides an API to write migrations that interact with the databaseLet s get started with Repo Simply call use Ecto Repo inside your Repo module If you use mix phx new to generate your Elixir project this is done automatically for you lib my app repo exdefmodule MyApp Repo use Ecto Repo otp app my app adapter Ecto Adapters PostgresThese few lines of code define the repo Putting it under the Supervision tree inside application ex gives you access to a whole set of functions provided by Repo to interact with a database Again this is code that is generated for you when using Phoenix defmodule MyApp Application do use Application impl true def start type args do children Start the Ecto repository MyApp Repo Other Children See for other strategies and supported options opts strategy one for one name MyApp Supervisor Supervisor start link children opts endWith the few lines of code above you get the following Access to the full Ecto Repo API included in MyApp Repo The most common use cases include fetching records with MyApp Repo all inserting new records with MyApp Repo insert and updating records with MyApp Repo update A Supervisor starts that keeps track of all the processes required to keep Ecto working The Supervision tree initializes the adapter Ecto Adapters Postgres in this case which is responsible for all communication with the database The Postgres adapter in turn starts a connection pool to your database using the DBConnection library A query planner starts that s responsible for planning and normalizing a query and its parameters It also keeps a cache of all planned queries in an ETS table We will learn more about this when we get to the Query module Monitor Queries Sent to Ecto from Your Elixir ApplicationIn addition Ecto also automatically publishes telemetry events that can be monitored For example to monitor statistics for all the queries sent to Ecto you can subscribe to the my app repo query event with telemetry Then each time a query is performed this event triggers some query metadata that includes the time spent executing the query retrieving the data from the database and more For more details see this full list of Ecto telemetry events There are many options available to configure the Repo or the adapter as per your needs but that s out of the scope of this post Let s just take a very quick look at how you can monitor queries with AppSignal Instrumenting Ecto Queries with AppSignal in Your Elixir AppAppSignal automatically instruments Ecto so you can get insights into Queries running in your Phoenix or Plug applications Make sure the otp app configuration option matches your app s OTP app name and you re all set Here s an example of how an Ecto query will look in AppSignal Read more in our Ecto docs Check out our AppSignal for Elixir page Query ModuleThe Query module provides a unified API to write database agnostic queries in Elixir Note that building database queries with functions provided by the Ecto Query module does not result in the queries being executed These functions return a query in the form of an Ecto Query struct Nothing is actually sent to the database until the built Ecto Query is passed to one of the functions provided by the Repo module As an example let s see a simple query that selects all users above years of age age query from u in users where u age gt age select u nameType this into an IEx console and you will see that it creates a struct like this Ecto Query lt from u in users where u age gt select u name gt You can also print it as a full map to see everything inside it iex gt IO inspect query structs false struct Ecto Query aliases assocs combinations distinct nil from struct Ecto Query FromExpr as nil file iex hints line params prefix nil source users nil group bys havings joins limit nil lock nil offset nil order bys prefix nil preloads select struct Ecto Query SelectExpr aliases expr amp name fields nil file iex line params subqueries take sources nil updates wheres struct Ecto Query BooleanExpr expr gt amp age file iex line op and params age subqueries windows with ctes nil This is much more interesting ーit shows exactly how the simple query is represented internally in Ecto Ecto Query FromExpr contains details about the table we are querying users ASTs in the QueryThe other two expressions we see in the query are much more complex but this is something that the adapters understand and convert to the query If you look closely they are ASTs Note If you are interested in learning more about ASTs check out An Introduction to Metaprogramming in Elixir Let s see what the code looks like for this expression iex gt Macro to string gt amp age amp age gt This is our condition in where just normalized into terms the adapters understand The adapter does the final translation of the query to actual SQL that the database understands Note that while we usually write SQL here the adapters don t need to work with SQL databases only ーsome adapters work just as well with no SQL databases Query generation and all database communication are clearly separated from Ecto s core If you want to explore this further try building out some complex queries with joins subqueries windows etc and see how they are represented internally ーit is a great way to learn how abstractions are made inside Ecto Finally this query struct is converted to a SQL statement by the adapter iex gt Ecto Adapters SQL to sql all MyApp Repo query SELECT u name FROM users AS u WHERE u age gt Back to Erlang s ETS TableBack in the section about the Repo module we created an ETS table when we started the Repository in our application Now that ETS table comes into play When a query is executed multiple times the query is only prepared the first time Note You can learn more about PREPARE in the context of Postgres It is then cached inside that ETS table and fetched from there for all subsequent calls To see the caching in action check this out notice the cached in result which signals that this query has been cached iex gt MyApp Repo all query This puts the query in the cache Trying to prepare the query again gets a cached versioniex gt Ecto Adapter Queryable prepare query all MyApp Repo query cached Function lt in Ecto Query Planner query with cache gt Function lt in Ecto Query Planner query with cache gt Postgrex Query ref Reference lt gt name ecto statement SELECT u name FROM users AS u WHERE u age gt param oids param formats binary param types Postgrex Extensions Int columns name result oids result formats binary result types Postgrex Extensions Raw types Postgrex DefaultTypes Reference lt gt cache reference Note that this doesn t cache the result only the prepared statements Prepared statements give a large performance advantage especially for complex queries From the Postgres docs Prepared statements potentially have the largest performance advantage when a single session is being used to execute a large number of similar statements The performance difference will be particularly significant if the statements are complex to plan or rewrite e g if the query involves a join of many tables or requires the application of several rules The next important module in Ecto is the Schema Let s take a look at it now Schema ModuleYou can use Ecto without schemas and it works just as well as we saw above when we referenced the table names directly The Schema module is responsible for defining and mapping a record s attributes fields and associations from a database table to an Elixir struct To create a schema we write use Ecto Schema at the top of our module and use the schema DSL For example defmodule MyApp Organization do use Ecto Schema schema organizations do field name string endenddefmodule MyApp User do use Ecto Schema schema users do field name string belongs to organization MyApp Organization endendThe use statement includes several utility functions and macros inside the module and sets some default module attributes required for Ecto to gather data from the Schema The schema macro then updates some of those attributes to mark that this is a persisted schema there is also another embedded schema macro to deal with non persisted schemas and sets some other defaults like the primary key The field and belongs to inside the schema block then put those fields in the module attributes for type validation and add the fields to the struct defined by the module The Ecto Schema behavior exposes some methods inside the schema to fetch field details For example iex gt MyApp User schema source users iex gt MyApp User schema fields id name organization id iex gt MyApp User schema primary key id iex gt MyApp User schema associations organization iex gt MyApp User schema association organization Ecto Association BelongsTo field organization owner MyApp User related MyApp Organization owner key organization id related key id queryable MyApp Organization on cast nil on replace raise where defaults cardinality one relationship parent unique true ordered false This schema function is also the entry point for other parts of Ecto to reflect on more details about the defined schema and perform operations on it For example when used as the source of a query the repo will use schema to validate the conditions in the where clause and cast the data returned from the database to Elixir structs This results in much better feedback when there s something wrong A Schema Module In Action on an Elixir AppLet s try executing a query that has a typo to see the benefits of using a schema in action from u in users select u id where u ages gt Executing this with Repo all will throw a generic Postgrex Error Postgrex Error ERROR undefined column column u ages does not exist query SELECT u id FROM users AS u WHERE u ages gt Let s try the same query but this time with a schema from u in MyApp Accounts User select u id where u ages gt As expected this also throws an error but it now includes the line number where it happened and has a more specific Exception type Ecto QueryError lib my app accounts ex field ages in where does not exist in schema MyApp Accounts User in query from u in MyApp Accounts User where u ages gt select u idThis works because the query planner in Ecto can look at the schema s metadata and figure out that this field doesn t exist on the schema even before hitting the database Ecto also does type conversions behind the scenes when using the schema For example it allows us to run this query id query from u in MyApp Accounts User where u id idRepo all query On the other hand if you are not using a schema a similar query will raise an exception query from u in users where u id id select u idRepo all query DBConnection EncodeError Postgrex expected an integer in got Please make sure the value you are passing matches the definition in your table or in your query or convert the value accordingly Changeset ModuleThe final module that we will look at today is Changeset It provides an interface for validating and transforming data before it is written into a database Similarly to Query Changeset provides a structured way to represent changes to data It is most commonly used with Ecto schemas but schemaless changesets are also possible when you don t need a full fledged schema Ecto Changeset provides a comprehensive API to work with data The cast ChangesetLet s start by looking at the most commonly used changeset cast iex gt changeset MyApp User name some name gt cast name gt organization id gt foo gt bar name organization id gt validate required name We pass initial data the MyApp User struct in this case to cast followed by some parameters and the list of allowed fields cast figures out the type of each allowed field by looking at the schema metadata cast then typecasts a parameter value to an allowed value or adds an error to the changeset For example here we can see that we had a value of String as the organization id But from the schema cast can figure out that organization id is of type int and cast the value to an integer before putting the change inside the Changeset The validate required ChangesetThe second call in the pipeline validate required requires the field to be present as the name suggests By default it trims any strings binaries before running validations and assumes an empty string to be blank Here s what is printed out when you inspect the Changeset Ecto Changeset lt action nil changes organization id errors name can t be blank validation required data MyApp User lt gt valid false gt This small summary already contains most of the information we need about the changeset It shows what changes were made to the initial data organization id was set to and that the changeset is invalid It lists all the errors Let s go one step further and inspect the full map iex gt IO inspect changeset structs false struct Ecto Changeset action nil changes organization id constraints data meta struct Ecto Schema Metadata context nil prefix nil schema MyApp User source users state built struct MyApp User id nil name some name organization cardinality one field organization owner MyApp User struct Ecto Association NotLoaded organization id nil empty values errors name can t be blank validation required filters params name gt organization id gt foo gt bar prepare repo nil repo opts required name types id id name string organization assoc struct Ecto Association BelongsTo cardinality one defaults field organization on cast nil on replace raise ordered false owner MyApp User owner key organization id queryable MyApp Organization related MyApp Organization related key id relationship parent unique true where organization id id valid false validations This contains much more information now The data and params are self explanatory ーthe initial data and the params we fed to cast types contains additional data about the schema we are working with fetched using the schema method we saw in the previous section changes and errors are where it gets interesting cast automatically converts the string organization id to an integer because it knows that the organization id is a numeric primary key from the association details What s also interesting is that it understands that is a blank value and inserts an error into the changeset from the validate required call The database manipulation functions from Repo understand changesets and return errors if the changeset is invalid The Changeset API provides several other functions for validating data and database constraints as well as dealing with associations These functions interact with the data and eventually update the struct that we saw above When fed to the Repo module s functions structs perform the eventual database operations Wrapping UpIn this post we looked at the core concepts of the Ecto library We started with a Schema that defined our business objects mapped to database tables To get those objects out of the database we used the Query API We then used Changesets to change those objects and inserted or updated them in the database Tying everything together was the Repo module which takes inputs from all the other modules eventually connecting to the database to fetch data or update records All of these modules work together to provide a structured and safe way to interact with databases Check out the official Ecto guide to integrate Ecto into your Elixir application I have also included links to the source code in parts of this post so feel free to go back and dig a little deeper Until next time ーhappy digging P S If you d like to read Elixir Alchemy posts as soon as they get off the press subscribe to our Elixir Alchemy newsletter and never miss a single post	2023-02-28 12:08:38
海外TECH	DEV Community	Top 10 Plaforms for Fonts Download .	https://dev.to/yug2477/top-10-plaforms-for-fonts-download--2963	Top Plaforms for Fonts Download Google fonts Google Fonts Making the web more beautiful fast and open through great typography fonts google com Dafont dafont com Fontsquirrels Free Fonts Legit Free amp Quality »Font Squirrel Handpicked free fonts for graphic designers with commercial use licenses fontsquirrel com Fontspace Free Fonts Font Downloads FontSpace Free downloads of legally licensed fonts that are perfect for your design projects The best place in the universe to search for amazing fonts fontspace com Dribble dribbble com Urban Fonts urbanfonts com Neogrey Fonts Vector and OpenType fonts most of them are FREE for personal use some are free for both commercial and personal use neogrey com Behance Fonts Vector and OpenType fonts most of them are FREE for personal use some are free for both commercial and personal use neogrey com Fontesk Free Fonts amp Typefaces ›Fontesk Download thousands of free fonts for personal and commercial use Quality fonts for every design project Daily updated collection Stay tuned fontesk com Font Bundles	2023-02-28 12:02:10
Apple	AppleInsider - Frontpage News	Apple Music violates EU antitrust laws, $39 billion fine possible	https://appleinsider.com/articles/23/02/28/apple-music-violates-eu-antitrust-laws-39-billion-fine-possible?utm_medium=rss	Apple Music violates EU antitrust laws billion fine possibleApple is staring down a potential billion fine as the European Commission says that Apple Music has breached antitrust law concerning restrictions on developers advertising subscriptions In the same case back in the EC issued a statement of objections and also stated that Apple had broken antitrust regulations That was a preliminary conclusion however and the Commission has now issued an update Today s Statement of Objections clarifies that the Commission does no longer take a position as to the legality of the IAP in app purchasing obligation for the purposes of this antitrust investigation says the European Commission in a press release Read more	2023-02-28 12:59:28
Apple	AppleInsider - Frontpage News	iPhone 16 Pro stilll rumored to gain under-display Face ID	https://appleinsider.com/articles/23/02/28/under-display-face-id-still-in-the-cards-for-the-iphone-16-pro?utm_medium=rss	iPhone Pro stilll rumored to gain under display Face IDApple may get rid of the Dynamic Island in with work reportedly being done by display manufacturers to get Face ID working under the screen for the iPhone Pro An early Face ID illustrationThe infamous notch and criticism led to Apple creating the Dynamic Island concept in the iPhone Pro but it is working to make screen elements less of a problem going forward While rumors push the narrative of Apple going for an all screen display in the iPhone Pro it s believed some elements are being actively worked on by suppliers Read more	2023-02-28 12:55:03
Apple	AppleInsider - Frontpage News	Future Siri could talk to whoever is calling you, and take notes	https://appleinsider.com/articles/23/02/28/future-siri-could-talk-to-whoever-is-calling-you-and-take-notes?utm_medium=rss	Future Siri could talk to whoever is calling you and take notesApple wants Siri to work the phones for you make and receive calls arrange appointments or just play back different voicemail messages to your partner and your boss Face it Siri is going to have to become a lot more consistent before any of this will ever be used but Apple has plans A newly granted patent called Digital Assistant Integration with Telephony details how Siri ーor other voice assistants ーcould get you using your iPhone for calls again Telephony has long been a fundamental technological feature for facilitating communication says Apple Recent advancements in digital assistant technology has also improved interactions between humans and devices however the full potential of integrating telephony and digital assistant technology has not been fully realized Read more	2023-02-28 12:40:52
Apple	AppleInsider - Frontpage News	MacStadium brings its Orka Mac orchestration service to AWS	https://appleinsider.com/articles/23/02/28/macstadium-brings-its-orka-mac-orchestration-service-to-aws?utm_medium=rss	MacStadium brings its Orka Mac orchestration service to AWSEnterprise customers using Orka Platform to orchestrate use and deployment of Macs can now buy through AWS Marketplace bringing the service to more people In MacStadium introduced its Orka system which for the first time allowed users of orchestration technologies such as Kubernetes to use them on macOS systems Now the company has announced that users will be able use its virtual macOS environments via AWS Offering Orka Platform in AWS Marketplace provides consumers even greater access to the preferred solution available for orchestrating macOS Tom Schnell MacStadium senior vice president and chief customer officer said Orka Platform on AWS streamlines the iOS developers build efforts while delivering a seamless buying and billing process Read more	2023-02-28 12:22:30
Apple	AppleInsider - Frontpage News	Apple wants to shift the mindsets of doctors and patients, says Health VP	https://appleinsider.com/articles/23/02/28/apple-wants-to-shift-the-mindsets-of-doctors-and-patients-says-health-vp?utm_medium=rss	Apple wants to shift the mindsets of doctors and patients says Health VPApple s work in healthcare goes beyond the immediate need of the consumer with the company wanting to to improve preventative care and aid in research according to Health VP Dr Sumbul Desai Dr Sumbul DesaiAfter speaking at India s BioAsia conference about Apple s preventative health work Dr Desai is continuing to court the media about the company s efforts in the field Read more	2023-02-28 12:14:39
Apple	AppleInsider - Frontpage News	Hyper Thunderbolt 4 Power Hub review: Fast connectivity for demanding users	https://appleinsider.com/articles/23/02/28/hyper-thunderbolt-4-power-hub-review-fast-connectivity-for-demanding-users?utm_medium=rss	Hyper Thunderbolt Power Hub review Fast connectivity for demanding usersIf you re moving a lot of data around you want more ports than the Mac tends to offer ーand they have to be fast Hyper s new hub aims to be just what you need This is not for you if your problem is that you need to connect multiple devices to your Mac each with different connectors Instead it s for you if you are concerned specifically with Thunderbolt devices because that s all you can connect to this hub It s a four power hub that is light and convenient enough to travel with but is intended to used with desktops and which requires mains power Unusually though it does not require a large power brick Read more	2023-02-28 12:29:33
海外TECH	Engadget	Europe’s music streaming antitrust case against Apple will now focus on ‘anti-steering’ clauses	https://www.engadget.com/eu-music-streaming-antitrust-case-apple-focus-anti-steering-clauses-123405739.html?src=rss	Europe s music streaming antitrust case against Apple will now focus on anti steering clausesBack in the European Commission issued antitrust charges against Apple after deciding that the company may be abusing its dominant position when it comes to music streaming apps The commission sent the tech giant a Statement of Objections listing issues that it believes warrant further investigation In it the EU s executive body outlined its issues with Apple namely making developers use its payment system and preventing them from telling subscribers about alternative and often cheaper payment options outside of iOS apps Now the commission has announced that its antitrust investigation will only touch upon the second issue or the anti steering obligations Apple imposes upon developers nbsp Its revised Statement of Objections drops its position regarding the legality of the company making developers use its in app payment system It s going all in on the anti steering allegations instead citing concerns that Apple s rule prevents developers from notifying users about more affordable subscription prices elsewhere nbsp The commission said these anti steering obligations imposed upon developers are unfair trading conditions in breach of Article of the Treaty on the Functioning of the European Union TFEU It explained that the obligations are neither necessary nor proportionate for the provision of the App Store on iPhones and iPad that they re detrimental to Apple users who ll likely end up paying more and that they negatively affect music streaming app developers by limiting effective consumer choice This particular antitrust case was a result of the complaint Spotify filed against Apple in wherein it accused the tech giant of having discriminatory practices designed to suppress competitors to Apple Music If the commission decides that Apple has indeed broken antitrust laws then it could prohibit the conduct that s in breach of the rules ーin this case preventing developers from pointing users to external payment options ーand could fine the company up to percent of its annual turnover worldwide Apple told The Wall Street Journal that it was pleased the scope of its case had been narrowed and that it hopes the commission will end its pursuit of a complaint that has no merit This article originally appeared on Engadget at	2023-02-28 12:34:05
海外TECH	Engadget	The Morning After: Welcome to the exciting world of ‘Pokémon Sleep’	https://www.engadget.com/the-morning-after-welcome-to-the-exciting-world-of-pokemon-sleep-121544894.html?src=rss	The Morning After Welcome to the exciting world of Pokémon Sleep Almost four years after it was announced Pokémon Sleep a mobile game that tracks your sleep nbsp is finally on the way According to yesterday s Pokémon Presents event it ll arrive sometime this summer after it was meant to debut in It features Snorlax of course and Professor Neroli a Pokémon sleep researcher The idea is you leave your phone next to you when you go to bed and it analyzes your sleep…somehow There s also Pokémon Go Plus a new physical device that connects to both Pokémon Sleep and Pokémon Go For the former you press the button when you go to bed and again when you wake up to track your sleep data presumably instead of needing your phone Pokémon Go Plus yes that s its name follows the original Pokémon Go Plus peripheral which emerged in It will be available on July th and cost Mat SmithThe Morning After isn t just a newsletter it s also a daily podcast Get our daily audio briefings Monday through Friday by subscribing right here The biggest stories you might have missedThe best fitness trackers for Ted Lasso season trailer previews the highs and lows of the Premier LeagueA stop motion Pokémon show is coming to Netflix Apple s iPad drops to a new all time low of Honor s exciting folding phone finally makes it to Europe Warner Bros Discovery sues Paramount over South Park streaming rights Kindle Scribe update adds new brushes and better organization Honor s Magic Pro offers a polished alternative for Android connoisseursXiaomi shows off its new wireless AR glassesThey use the same chip as Meta s Quest Pro XiaomiMWC has kicked off and while the biggest phone players might not be revealing much there are plenty of intriguing phones and peripherals Xiaomi has unveiled its Wireless AR Glass Discovery Edition a compact AR headset using the same Snapdragon XR Gen as the Quest Pro The company says these oversized sunglasses offer an elegant way to blend the digital and real worlds but don t need to be tethered to a smartphone There s no word on price or availability but they do look like they belong in a s music video Continue reading The OnePlus Concept phone includes PC like liquid coolingThe experimental project may hint at future phone designs OnePlus has revealed its latest experimental phone and this time the features are more practical than before The OnePlus Concept centers on Active CryoFlux liquid cooling which mimics some gaming PCs The system uses a piezoelectric ceramic micropump to send cooling fluid throughout pipelines in the phone visible on the outside without quot significantly quot increasing the phone s bulk Continue reading Google is bringing a bunch of new features to Android and Wear OSIncluding better organizational tools and tap to pay animations Google is unveiling a raft of minor additions to Android and Wear OS including a new widget for Google Keep to check off your to do lists from your home screen And with a compatible watch you ll be able to dictate notes and to do list items from your wrist Another more notable change is improved noise cancellation in Google Meet when used on some Android devices Google said you ll soon be able to use Chrome OS Fast Pair feature to connect new Bluetooth headphones to your machine with a single tap Continue reading You can now fly the largest aircraft ever built in Microsoft Flight Simulator Proceeds will go toward rebuilding the craft destroyed during Russia s invasion of Ukraine MicrosoftOne year ago today the largest aircraft ever built was destroyed during the early days of Russia s invasion of Ukraine Now the Antonov An Mriya is once again taking to the skies albeit in Microsoft Flight Simulator The Ukraine built Mriya was an ultra heavy lift jet transport aircraft with six engines It was the heaviest aircraft ever built and it had the largest wingspan of any plane at feet The Flight Simulator version of Mriya costs with all proceeds going to the Antonov Corporation s Mryia reconstruction efforts Continue reading This article originally appeared on Engadget at	2023-02-28 12:15:44
海外TECH	CodeProject Latest Articles	curry-console - Extend Native Console Logging Library with Extra Features	https://www.codeproject.com/Articles/5354858/curry-console-Extend-Native-Console-Logging-Librar	native	2023-02-28 12:48:00
金融	金融庁ホームページ	株式会社横浜銀行の産業競争力強化法に基づく事業適応計画の認定について公表しました。	https://www.fsa.go.jp/news/r4/ginkou/20230228/20230228.html	株式会社横浜銀行	2023-02-28 14:00:00
ニュース	BBC News - Home	Urgent search for baby as Constance Marten and Mark Gordon arrested	https://www.bbc.co.uk/news/uk-64794712?at_medium=RSS&at_campaign=KARANGA	people	2023-02-28 12:05:36
ニュース	BBC News - Home	Isla Bryson: Transgender rapist jailed for eight years	https://www.bbc.co.uk/news/uk-scotland-64796926?at_medium=RSS&at_campaign=KARANGA	female	2023-02-28 12:28:05
ニュース	BBC News - Home	Eggs and margarine drive food inflation to record 17.1%	https://www.bbc.co.uk/news/business-64796022?at_medium=RSS&at_campaign=KARANGA	finances	2023-02-28 12:27:05
ニュース	BBC News - Home	Homelessness: Rough sleeping up more than a quarter in a year	https://www.bbc.co.uk/news/uk-64742599?at_medium=RSS&at_campaign=KARANGA	homelessness	2023-02-28 12:49:30
ニュース	BBC News - Home	Banshees of Inisherin: The 83-year-old behind Oscar film's famous knits	https://www.bbc.co.uk/news/world-europe-64797613?at_medium=RSS&at_campaign=KARANGA	vogue	2023-02-28 12:12:26
ニュース	BBC News - Home	TikTok answers three big cybersecurity fears about the app	https://www.bbc.co.uk/news/technology-64797355?at_medium=RSS&at_campaign=KARANGA	risks	2023-02-28 12:12:11
ニュース	BBC News - Home	Six Nations 2023: Marcus Smith left out of England squad preparing for match against France	https://www.bbc.co.uk/sport/rugby-union/64799016?at_medium=RSS&at_campaign=KARANGA	Six Nations Marcus Smith left out of England squad preparing for match against FranceMarcus Smith is left out of England s training squad before the Six Nations match against France with George Ford returning	2023-02-28 12:47:49
ニュース	BBC News - Home	Why are people talking about a Stormont brake?	https://www.bbc.co.uk/news/uk-northern-ireland-64795902?at_medium=RSS&at_campaign=KARANGA	brexit	2023-02-28 12:15:43