投稿時間:2023-01-14 20:16:28 RSSフィード2023-01-14 20:00 分まとめ(18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
TECH	Techable（テッカブル）	大阪のVR関連企業ジーゼ、5億5,000万円を調達　開発力などを強化へ	https://techable.jp/archives/190451	株式会社	2023-01-14 10:24:30
python	Pythonタグが付けられた新着投稿 - Qiita	Seleniumで偽装、意味ないですよ	https://qiita.com/MOSO1409/items/f5eba26a1cd893626bc7	javascript	2023-01-14 19:48:10
python	Pythonタグが付けられた新着投稿 - Qiita	共有エッジを持つポリゴン境界線の破線間隔を均一に表示する	https://qiita.com/shiba54/items/7ae515742ebea13d8832	pythongeopandasshapely	2023-01-14 19:44:51
python	Pythonタグが付けられた新着投稿 - Qiita	Codespaces, devcontainerの雛形 C++, Rust, Python ...	https://qiita.com/kxkx5150/items/d9cf1c52105e5bb0ef4c	codespaces	2023-01-14 19:42:01
js	JavaScriptタグが付けられた新着投稿 - Qiita	【Netlify】デーサイがNetlifyを試してみる	https://qiita.com/yokoshu25/items/c80ea9970e23f3c8a246	netlify	2023-01-14 19:55:39
js	JavaScriptタグが付けられた新着投稿 - Qiita	僕のHTML5 プロフェッショナル認定試験 レベル1合格記	https://qiita.com/SSKNOK/items/e3ba8ff6cbe5cfc67408	認定試験	2023-01-14 19:49:38
技術ブログ	Developers.IO	Microsoft Azure のコスト分析自動エクスポート機能を使って利用料金明細データを出力し、Amazon Athena で観察してみた	https://dev.classmethod.jp/articles/azure-cost-export-amazon-athena/	amazon	2023-01-14 10:03:28
海外TECH	DEV Community	GOlang ile şifreleme işlemleri için crypto paketi	https://dev.to/aciklab/golang-ile-sifreleme-islemleri-icin-crypto-paketi-eaa	GOlang ile şifreleme işlemleri için crypto paketiGOlang üzerinde kriptografik işlemleri yapabilmek için kendi içerisinde çeşitli fonksiyonlarıiçeren açık kaynak kodlu crypto paketi bulunmaktadır İlgili paket özellikle çeşitli hash anahtar ve imzalama işlemlerini barındırarak bunlara uygun type değerlerini ve fonksiyonları barındırmaktadır Paket hakkında en güzel bilgi ve temel örnekler kendi belgelendirme sayfasında olmasına rağmen bazıkavramlarıözetlemek istiyorum Hash tanımlarıKendi içerisinde varsayılan olarak MD ve SHA uyarlamalarınıbarındırmaktadır Dolayısıyla herhangi bir noktada bunlara ihtiyacınız olduğunda oldukça kolay kullanabilirsiniz Paket bileşenleriPaket içerisinde bir çok uyarlama bulunmaktadır Bunların listesi aşağıdaki gibi olmakla birlikte bu uyarlamaların altında bir çok hazır fonksiyon da bulunmaktadır aes cipherdesdsaecdsaedelliptichmacmdrandrcrsashashashasubtletlsx pkixBu hazır uyarlamalar ile GOlang ile çeşitli kriptografik işlemleri yapabilirsiniz Bu kütüphaneyi kullanırken özellikle encoding paketini de kullanmak özellikle hex string ve byte dönüşümleri oldukça önemli olmaktadır Basit bir hash örneğiBir verinin hash olarak saklanmasıiçin kullanılabilecek aşağıdaki örnek ile GOlang üzerinde basitçe hash kullanımısağlanabilmektedir Bu örnekte saklanacak bir verinin MD dönüşümüile çevrimi gösterilmektedir package mainimport crypto md encoding hex fmt func getMDHash message string string hash md Sum byte message return hex EncodeToString hash func main password saklanacakveri fmt Println MD hashli değeri getMDHash password Genel kullanım alanıtek yönlüşekilde parolaların bir yerlerde saklanabilmesini sağlamak diye düşünebiliriz Ve en önemli noktasıgeri dönüşümünün olmaması Bunun yanında deneme yanılma ataklarıyla tuzlama olarak ifade edilen şekilde ek bir veri kullanmadan direkt hash kullanımıile saldırıyapılabilmektedir Basit bir AES şifreleme örneğiBu kütüphaneyi kullanarak bir mesajıbasit bir şekilde şifrelemek için aşağıdaki gibi fonksiyonlar tanımlayabilirsiniz Hash örneğinden farklıolarak anahtar yardımıile geri dönüşümüyapılabilmektedir package mainimport crypto aes encoding hex fmt func encryptMessage key string message string string c err aes NewCipher byte key if err nil fmt Println err msgByte make byte len message c Encrypt msgByte byte message return hex EncodeToString msgByte func main plainText Ornek Mesaj key this must be of byte length sifrelimesaj encryptMessage key plainText fmt Println ŞifrlenmişMesaj sifrelimesaj Yukarıdaki gibi bir fonksiyon ile belirli bir anahtar kullanılarak bir mesajın şifrelenmesini görebilirsiniz Aynışifrenin yine aynıanahtar değeri ile açılmasıiçin ise aşağıdaki fonksiyonun da tanımlanmasıgerekmektedir func decryptMessage key string message string string txt hex DecodeString message c err aes NewCipher byte key if err nil fmt Println err msgByte make byte len txt c Decrypt msgByte byte txt msg string msgByte return msg Ve yukarıdaki şifreli mesajın main fonksiyonunda tekrardan decrypt edilmesi sağlanmalıdır cozulmusmesaj decryptMessage key sifrelimesaj fmt Println ÇözülmüşMesaj cozulmusmesaj Bu şekilde crypto paketi ile şifrelenebilen ve çözülebilen bir yapıkurulabilmesi sağlanmaktadır Tabi ki kriptolojik olarak buradaki şifreleme işlemini daha farklıalgoritmalarla daha zorlaştırabilir belirli standartlar kullanarak da bunların farklıortamlarla entegre olabilmesini sağlayabilirsiniz	2023-01-14 10:38:28
海外TECH	DEV Community	Creating Virtual Environments - Python	https://dev.to/vincod/creating-virtual-environments-python-4dn4	Creating Virtual Environments PythonA virtual environment in Python is a way to create isolated environments for different projects so that each project can have its own specific version of Python and installed packages This allows for more flexibility and control over dependencies and helps to prevent conflicts between different projects One popular tool for creating virtual environments in Python is virtualenv It allows you to create a new environment and activate it and then you can install packages using pip in the environment Once you are done working on the project you can deactivate the environment and switch to another one Another popular tool is conda It is a package and environment management system that is commonly used in scientific computing and data science It allows you to create virtual environments and install packages similar to virtualenv but also has additional features such as managing multiple versions of packages and handling dependencies To create a virtual environment with virtualenv code pip install virtualenv virtualenv myenv source myenv bin activateTo create a virtual environment with conda Copy code conda create name myenv conda activate myenvOnce you have activated the environment you can install packages using pip or conda and they will be installed into that environment and not globally	2023-01-14 10:33:28
海外TECH	DEV Community	Statistics for data science with practice	https://dev.to/anurag629/statistics-for-data-science-with-practice-27h6	Statistics for data science with practice 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 about statistics Python Let s startIn today s data driven world understanding and working with data is an essential skill for businesses researchers and professionals of all backgrounds One of the most powerful tools for data analysis is the Python programming language With its powerful libraries such as NumPy and pandas Python provides a wide range of statistical and data analysis capabilities In this article we will explore some of the most important concepts in statistics such as mean median mode variance and standard deviation and learn how to use Python to calculate these values We will also look at more advanced topics such as percentiles quartiles and z scores and learn how to fill missing values and create new columns in a dataset Whether you are a beginner or an experienced data analyst this article will provide you with the knowledge and tools you need to work with data in Python Mean The mean is the average value of a set of data It is calculated by adding all the values in a set of data and then dividing by the number of values in the set For example if we have a set of data the mean would be Importing librariesimport numpy as np Creating a sample data setdata Meanmean np mean data print Mean mean Mean Median The median is the middle value of a set of data when it is arranged in numerical order If the set has an odd number of values the median is the middle value If the set has an even number of values the median is the average of the two middle values For example if we have a set of data the median would be Medianmedian np median data print Median median Median Mode The mode is the value that appears most frequently in a set of data A set of data can have multiple modes or no mode at all For example if we have a set of data the mode would be Modeimport statistics as stmode st mode data print Mode mode Mode Range The range is the difference between the highest and lowest values in a set of data For example if we have a set of data the range would be Rangerange np ptp data print Range range Range Variance The variance is a measure of how much the values in a set of data deviate from the mean It is calculated by taking the sum of the squares of the differences between each value and the mean and then dividing by the number of values in the set Variancevariance np var data print Variance variance Variance Standard deviation The standard deviation is a measure of how spread out the values in a set of data are It is calculated by taking the square root of the variance Standard deviationstd dev np std data print Standard deviation std dev Standard deviation Percentiles and quartiles Percentiles and quartiles are measures of the distribution of a set of data A percentile is a value that separates a set of data into equal parts A quartile is a value that separates a set of data into equal parts Percentilespercentile np percentile data print th percentile percentile print th percentile Median percentile print th percentile percentile th percentile th percentile Median th percentile Z scores A z score is a measure of how far away a value is from the mean in terms of standard deviations It is calculated by taking the difference between a value and the mean and then dividing by the standard deviation Z scoresz scores data mean std devprint Z scores z scores Z scores Summary The key concepts of statistics such as mean median mode variance standard deviation percentiles quartiles and z scores are explained in detail along with examples of how to calculate these values using Python libraries such as NumPy and pandas Additionally the article also covers more advanced topics such as filling missing values and creating new columns in a dataset The article is suitable for both beginners and experienced data analysts providing them with the knowledge and tools they need to work with data in Python The article provides sample data in CSV format which can be used to practice the concepts explained Exercise Question you will find in the exercise notebook of Day on GitHub If you liked it then	2023-01-14 10:32:56
海外TECH	DEV Community	AWS Machine Learning and SageMaker	https://dev.to/aymanmetwally2020/aws-machine-learning-and-sagemaker-3llo	AWS Machine Learning and SageMaker AWS Machine Learning and SageMakerAWS Machine Learning and SegMaker are two powerful tools that can help businesses take advantage of the power of artificial intelligence AI AWS Machine Learning is a cloud based platform that provides developers with access to a variety of machine learning services including Amazon SageMaker Amazon Comprehend Amazon Lex and Amazon Rekognition SegeMaker is a tool that helps developers quickly build and deploy AI models on AWS AWS Machine Learning provides developers with the ability to quickly build and deploy AI models on the cloud It offers a wide range of services including data preprocessing model training model deployment and model optimization Developers can use these services to create custom machine learning models for their applications The platform also provides access to common open source frameworks such as TensorFlow and PyTorch for deep learning applications SegeMaker is an AI development platform that enables developers to quickly build and deploy AI models on AWS It provides an intuitive graphical user interface GUI for creating AI models without writing code SegMaker also offers automated model building capabilities that allow developers to quickly create complex models without having to configure them manually Additionally it provides access to popular open source frameworks such as TensorFlow and PyTorch for deep learning applications AWS Machine Learning and SegMaker are powerful tools that can help businesses take advantage of the power of artificial intelligence AI They provide developers with the ability to quickly build and deploy AI models on the cloud without having to write code or manually configure them Additionally they offer access to popular open source frameworks such as TensorFlow and PyTorch for deep learning applications With these tools businesses can easily leverage the power of AI in their applications and gain a competitive edge in their industry	2023-01-14 10:29:46
海外TECH	DEV Community	Lambda Serverless Computing Platform**	https://dev.to/aymanmetwally2020/ambda-serverless-computing-platform-3gff	Lambda Serverless Computing Platform Lambda Serverless Computing PlatformIn recent years cloud computing has become an increasingly popular way to store and manage data Amazon Web Services AWS is one of the leading cloud providers offering a wide range of services and features to help businesses get the most out of their cloud infrastructure One of the most powerful tools available on AWS is its Lambda service which allows developers to create and run code without having to manage any underlying infrastructure Lambda is a serverless computing platform that allows developers to write code without having to worry about managing servers or other infrastructure This makes it ideal for applications that require rapid scaling or have unpredictable workloads With Lambda developers can focus on writing code rather than worrying about managing servers or dealing with other operational tasks Lambda functions are written in Node js Python Java C Go and Ruby Once written these functions can be deployed directly from the AWS console or using the AWS CLI tool Once deployed Lambda functions are triggered by events such as changes in an Amazon S bucket or an incoming request from an API gateway When triggered the function runs in a secure environment provided by AWS and returns a response back to the caller The main advantage of using Lambda is that it allows developers to quickly build applications without having to worry about managing servers or other infrastructure components This makes it ideal for applications that require rapid scaling or have unpredictable workloads such as webhooks and real time data processing tasks Additionally Lambda functions are highly cost effective since they only run when triggered and don t require any upfront costs for server provisioning or maintenance Overall AWS Lambda is a powerful tool for developers looking to quickly build applications without having to worry about managing servers or other infrastructure components It provides a secure environment for running code with minimal overhead costs and can be used for a variety of tasks ranging from webhooks to real time data processing tasks	2023-01-14 10:25:41
海外TECH	DEV Community	AWS Certified Cloud Practitioner Exam Preparation and Key Tips	https://dev.to/aymanmetwally2020/aws-certified-cloud-practitioner-exam-preparation-and-key-tips-2051	AWS Certified Cloud Practitioner Exam Preparation and Key Tips AWS Certified Cloud Practitioner Exam Preparation and Key TipsThe AWS Certified Cloud Practitioner exam is a great way to demonstrate your knowledge of the AWS cloud platform It is designed to validate your understanding of the core services fundamentals and best practices of the AWS cloud To help you prepare for this exam here are some key tips and strategies Understand the Exam Structure The AWS Certified Cloud Practitioner exam consists of multiple choice questions that cover a variety of topics related to the AWS cloud platform It is important to understand the structure of the exam so that you can focus your preparation on the issues that are most likely to be tested Familiarize Yourself with AWS Services The AWS Certified Cloud Practitioner exam covers a wide range of services offered by AWS It is essential to familiarize yourself with each service and its features so that you can answer questions related to them accurately Practice with Sample Questions One of the best ways to prepare for any certification exam is by practising with sample questions This will help you get familiar with the types of questions that may be asked on the exam and give you an idea of how long it will take you to answer them correctly Utilize Online Resources There are many online resources available that can help you prepare for the AWS Certified Cloud Practitioner exam such as practice tests study guides and tutorials Utilizing these resources can help ensure that you have a thorough understanding of all topics covered in the exam before taking it Take Practice Tests Taking practice tests is one of the best ways to prepare for any certification exam including the AWS Certified Cloud Practitioner exam Practice tests provide an opportunity for you to test your knowledge and identify any areas where additional study may be needed before taking the actual test By following these tips and strategies you should be well prepared for success on your AWS Certified Cloud Practitioner Exam Good luck	2023-01-14 10:23:15
海外科学	NYT > Science	Ecuador Tried to Curb Drilling and Protect the Amazon. The Opposite Happened.	https://www.nytimes.com/2023/01/14/climate/ecuador-drilling-oil-amazon.html	Ecuador Tried to Curb Drilling and Protect the Amazon The Opposite Happened A novel idea to leave the country s vast oil reserves in the ground fizzled for lack of international support Now struggling under painful debt the government wants to expand drilling in the rainforest	2023-01-14 10:00:36
ニュース	BBC News - Home	UK weather: More flood warnings ahead of colder spell	https://www.bbc.co.uk/news/uk-64269187?at_medium=RSS&at_campaign=KARANGA	weather	2023-01-14 10:28:11
ニュース	BBC News - Home	Awaab Ishak: Guidance on mould to be reviewed after toddler's death	https://www.bbc.co.uk/news/uk-64273057?at_medium=RSS&at_campaign=KARANGA	death	2023-01-14 10:10:32
ニュース	Newsweek	国民が戦死する一方で...ロシア高官の子供がドバイや米国で過ごす「贅沢セレブ休暇」写真が判明	https://www.newsweekjapan.jp/stories/world/2023/01/post-100586.php		2023-01-14 19:43:00
ニュース	Newsweek	スマホゲームの時代に大統領までカチカチ　インドネシアでアメリカンクラッカーが大流行	https://www.newsweekjapan.jp/stories/world/2023/01/post-100587.php	日本でも「カチカチ・ボール」と呼ばれるアメリカン・クラッカーが年に売り出されたが音がうるさいことや遊んでいる間にボールが外れたり破損してケガをする事例が報告されたこともあり、あっという間に流行が下火になった経緯がある。	2023-01-14 19:15:24