投稿時間:2022-01-02 05:21:30 RSSフィード2022-01-02 05:00 分まとめ(23件)

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海外TECH	MakeUseOf	Is Windows 11's Quick Access Not Showing Recent Files? Here's How to Fix It	https://www.makeuseof.com/windows-11-fix-quick-access-not-showing-recent-files/	Is Windows x s Quick Access Not Showing Recent Files Here x s How to Fix ItQuick Access for Windows is a handy way to get at your most recent files but sometimes it breaks Here s how to see your recent files again	2022-01-01 19:46:39
海外TECH	MakeUseOf	How to Fix the Photos App Not Working in Windows 11	https://www.makeuseof.com/windows-1-fix-photos-app-not-working/	doesn	2022-01-01 19:16:41
海外TECH	DEV Community	Top 10 Most Useful Python Libraries For Data Scientists	https://dev.to/iayeshasahar/top-10-most-useful-python-libraries-for-data-scientists-1d3d	Top Most Useful Python Libraries For Data Scientists Table of ContentsIntroductionPandasNumPyTensorFlowScikit learnSci PyMatplotlibSeabornKerasScrapyBeautifulSoup Introduction As you guys know Python is a popular language that is assisting developers in creating PC games mobile and other types of applications This is possible due to its libraries that are almost more than in number Crazy right Moreover in this world that revolves around data where buyers demand relevant information while buying big companies or even small start ups require data scientists to get valuable insights by processing massive data sets The results of such an analysis guide them in critical decision making business operations and various other tasks that require valuable information to be completed efficiently Now you might be thinking how do data scientists accomplish all this The answer is simple as mentioned above they use various libraries to perform these tasks So here is a list of the top most useful Python libraries for data scientists Pandas It was basically created as a community library project and released around It provides various high performance easy to use data structures and operations for manipulating data in the form of numerical tables and time series Pandas also has multiple tools for reading and writing data between in memory data structures and different file formats Features and Applications •Good syntax with various functionalities that gives you the freedom to even deal with some missing data •It helps you make your own function and then run it across a series of data •It has high level abstraction •It contains high level data structures amp manipulation tools •It helps to perform data wrangling and data cleaning •It is used in a variety of academic areas commercial areas statistics finance and even neuroscience •It has time series specific functionality like date range generation date shifting linear regression and moving window Documentation NumPy NumPy is actually the fundamental package for scientific numerical computation in Python as it contains a powerful N dimensional array object It is quite popular among developers and data scientists who are aware of the technologies which are dealing with data oriented stuff It is a general purpose array processing package that provides high performance multidimensional objects called arrays and also provides tools for working with them Features and Applications •It provides fast and precompiled functions for numerical calculations •It is used in data analysis •The Array oriented computing increases its efficiency •It also forms the base of other libraries like SciPy and scikit learn •It supports the concepts of Object Oriented Programming OOP •It performs compact computations with vectorization •It can create a powerful N dimensional array Documentation TensorFlow It was designed by Google to compute data low graphs with the empowered machine learning algorithms and to fulfill the high demand for the training neural networks work It is an open source library Its performance is quite high and it has a flexible architecture It also allows you to deploy Machine Learning models in places like the cloud your browser or even your own device TensorFlow is available for Python C APIs C Java JavaScript Go Swift etc Features and Applications •It is optimized for speed and makes use of techniques such as XLA to perform quick linear algebra operations •It is easily trainable on both CPU and GPU •It can visualize each and every single part of the graph with ease •It can perform speech and image recognition •In neural machine learning it reduces error by to •It can also perform video detection Documentation Scikit learn Scikit Learn is used for performing data analysis and mining related tasks It is also open source like TensorFlow and licensed under the BSD Anyone can access it It is developed mainly over the Numpy Scipy and Matplotlib Features and Applications •It works well with complex data •It is quite useful for extracting features from images and text •It has a lot of algorithms for the purpose of implementing standard machine learning and even data mining tasks •It allows dimensionality reduction model selection and pre processing •It can also perform clustering classification and regression Documentation Sci Py SciPy Scientific Python is another free and open source Python library for data science and is mainly used for high level computations It has around comments on GitHub with about contributors It is widely used for scientific and technical computations because it extends NumPy while providing many user friendly routines for scientific calculations Features and Applications •It is used for multi dimensional image processing•It has can solve Fourier transforms and differential equations •Due to its optimized algorithms it can do linear algebra computations quite efficiently Documentation Matplotlib Matplotlib has various powerful but beautiful visualizations It is a Python library used for plotting It has around comments on GitHub with about contributors It is extensively used for data visualization due to the graphs and plots that it creates It also provides an object oriented API This API can be used to embed the created plots into applications Features and Applications •It offers many charts and customizations from histograms to even scatterplots •It is useful while performing data exploration for a machine learning project •You can use it regardless of which operating system you re using or which output format you wish to use as it supports various backends and output types •It can perform correlation analysis of variables •It has low memory consumption and good runtime behavior Documentation Seaborn It is a Python data visualization library Seaborn is based on Matplotlib and is integrated with the NumPy and pandas data structures It provides various dataset oriented plotting functions that operate on data frames and arrays that have whole datasets within them The Seaborn data graphics it can create include bar charts pie charts histograms scatterplots error charts etc It also has many tools for choosing color palettes that are used to reveal patterns in the data Features and Applications •It has a high level interface •It can draw attractive yet informative statistical graphics •It performs the necessary statistical aggregation and mapping functions that allows users to create the plots that they want Documentation Keras It is one of the most powerful Python libraries It allows high level neural network APIs for integration that execute over the top of TensorFlow Theano and CNTK It was created mainly for reducing challenges faced in complex researches allowing users to compute faster It is also open source It provides a user friendly environment Features and Applications •It allows fast prototyping •It supports the recurrent and convolution networks individually •It is a high level neural network library•It is simple to use but is also powerful •By using Keras users can simply add new modules as a class or even as a function Documentation Scrapy It is one of the most popular and fast web crawling frameworks written in Python It is also open source Scrapy is mainly used to extract the data from the web page with the help of selectors These selectors are based on the XPath Features and Applications •It can perform large scale web scraping •After extracting and processing the data from websites users can store it in their preferred format •It can also be used to gather data from APIs Documentation BeautifulSoup BeautifulSoup is also a popular choice for data scientists It is commonly known for web crawling and data scraping Features and Applications •It performs web scraping from HTML and XML documents •It can automatically detect encodings •Users can navigate a parsed document and extract the data from various web pages Documentation Let s connect Twitter Github	2022-01-01 19:49:19
海外TECH	DEV Community	🤪 How should I build a duplicate detection system?	https://dev.to/williammcgonagle/how-should-i-build-a-duplicate-detection-system-22le	How should I build a duplicate detection system I m working on a linter right now and one of the requested features for it was code duplication detection I made an issue for it already but I need to start working on it And that s where my question lies I can either build the system to detect the duplications based on plain text This is how most systems work because it is the simpler of the two options But it is also the most failure prone For instance this system would fail if there was the same exact code in two places but there was a comment in the middle of one of them it would not register as a duplicate Alternatively I can use an abstract syntax tree to detect the duplications But theres another problem there what is the most lightweight and all around best javascript parser out there I m planning on using the babel parser but I m already running into a problem because it doesn t parse the comments in a way I would like So if you have an opinion on what I should do please leave a comment below Also please star the project and contribute if you have time If you can that would be amazing and I thank you so much	2022-01-01 19:47:08
海外TECH	Engadget	United States extends ISS operations through 2030	https://www.engadget.com/united-states-iss-extension-through-2030-191501602.html?src=rss	United States extends ISS operations through The United States is extending its operations aboard the International Space Station through NASA confirmed Friday in a blog post “The International Space Station is a beacon of peaceful international scientific collaboration and for more than years has returned enormous scientific educational and technological developments to benefit humanity quot NASA Administrator Bill Nelson said in a statement nbsp Though it was never in doubt that the US would continue its near term commitment to the ISS NASA s announcement comes amid heightened tensions with Russia one of several nations sharing access to the Space Station also saw Russia deepen its cooperation in space with China another US adversary as The New York Timesnoted in June Fall saw multiple emergencies aboard the ISS both of which the US blamed on Russia In October surprise test fire from a docked Russian spacecraft caused the ISS to tilt out of its normal position leading personnel on board to briefly evacuate A fun footnote The spacecraft that caused the incident had been in space so that a Russian crew could film the first feature film aboard the Space Station Then in November satellite debris forced ISS astronauts to seek shelter on the day as a Russian missile attack The US condemned Russia for the attack Russia did not acknowledge any wrongdoing nbsp Later that month in an unrelated episode Russia s space agency Roscosmos left the door open for possible criminal charges related to a incident involving a hole in one of its spacecraft which Russian media insinuated could have been the result of US sabotage quot These attacks are false and lack any credibility quot Nelson told Ars Technica in November In its statement on Friday NASA highlighted among its continuing projects sending humans to Mars as well as Project Artemis an effort to send the first woman and the first person of color to the Moon Indeed NASA underwent a reorganization in September that seemed to specifically reflect its priorities around the Moon and Mars	2022-01-01 19:30:01
海外科学	NYT > Science	Big Rockets, Massive Asteroids and More Space Highlights for 2022	https://www.nytimes.com/2022/01/01/science/space-preview-2022.html	highlights	2022-01-01 19:49:59
海外科学	NYT > Science	Meteor Showers That Peak in 2022: How and Where to Watch	https://www.nytimes.com/article/meteor-showers-2022.html	meteor	2022-01-01 19:48:38
海外科学	NYT > Science	What's Launching to the Moon in 2022	https://www.nytimes.com/article/moon-missions-nasa-2022.html	crucial	2022-01-01 19:48:15
ニュース	BBC News - Home	New Year's Day is warmest on record in the UK, Met Office says	https://www.bbc.co.uk/news/uk-59847641?at_medium=RSS&at_campaign=KARANGA	london	2022-01-01 19:50:39
ニュース	BBC News - Home	West Ham edge win at Crystal Palace	https://www.bbc.co.uk/sport/football/59787809?at_medium=RSS&at_campaign=KARANGA	crystal	2022-01-01 19:48:23
ビジネス	ダイヤモンド・オンライン - 新着記事	富士通社長が断言「NECとは違う！出資なき“NTTとの5G協業“は可能」 - 総予測2022	https://diamond.jp/articles/-/291182	事業拡大	2022-01-02 05:00:00
ビジネス	ダイヤモンド・オンライン - 新着記事	日立・ソニー・三菱“常勝の構図”に異変！電機7社、2022年は「成長投資格差」が鮮明に - 総予測2022	https://diamond.jp/articles/-/291181		2022-01-02 04:55:00
ビジネス	ダイヤモンド・オンライン - 新着記事	みずほ2度目のシステム障害に至る人事史、頭取候補の続々放逐に旧3行「超絶バランス人事」 - みずほ「言われたことしかしない銀行」の真相	https://diamond.jp/articles/-/286933	過去を振り返ったとき、東日本大震災の直後にみずほが起こした度目のシステム障害の要因になったとの指摘もある人事が当時行われていた。	2022-01-02 04:50:00
ビジネス	ダイヤモンド・オンライン - 新着記事	ビジネスパーソン「2022年の能力開発」、周りに取り残されない3つのポイント - ビジネスを強くする教養	https://diamond.jp/articles/-/291791	ビジネスパーソン「年の能力開発」、周りに取り残されないつのポイントビジネスを強くする教養コロナ禍の終息はいまだ見通せない。	2022-01-02 04:45:00
ビジネス	ダイヤモンド・オンライン - 新着記事	35歳シングルマザー、自身の大学院進学で子どもの教育費と老後資金は安心か？ - お金持ちになれる人、貧乏になる人の家計簿　深野康彦	https://diamond.jp/articles/-/291790	深野康彦	2022-01-02 04:40:00
ビジネス	ダイヤモンド・オンライン - 新着記事	「サブカルおじさん」の炎上がなくならない根本的な理由とは - ニュース3面鏡	https://diamond.jp/articles/-/290054		2022-01-02 04:35:00
ビジネス	ダイヤモンド・オンライン - 新着記事	『全裸監督』はなぜ日本以外でも受け入れられたのか～NETFLIXの戦略 - Netflixを取り巻く戦略と流儀	https://diamond.jp/articles/-/290757	『全裸監督』はなぜ日本以外でも受け入れられたのかNETFLIXの戦略Netflixを取り巻く戦略と流儀数ある動画配信サービスがある中でも、ネットフリックスの最大の強みはオリジナル作品にある。	2022-01-02 04:30:00
ビジネス	ダイヤモンド・オンライン - 新着記事	【地球の歩き方】編集者が帰国後14日間待機を覚悟してバンコクへ旅行してみた！ - 地球の歩き方ニュース＆レポート	https://diamond.jp/articles/-/291441	【地球の歩き方】編集者が帰国後日間待機を覚悟してバンコクへ旅行してみた地球の歩き方ニュースレポート年月日から入国に関する規制が緩和され、以前よりも訪問のハードルが下がったタイ。	2022-01-02 04:25:00
ビジネス	ダイヤモンド・オンライン - 新着記事	マツダ創立100周年、クルマ好きを惹きつける波乱万丈の歴史を辿る - 男のオフビジネス	https://diamond.jp/articles/-/291786	波乱万丈	2022-01-02 04:20:00
ビジネス	ダイヤモンド・オンライン - 新着記事	川田裕美が「また一緒に仕事をしたい」と思われる最大の理由 - from AERAdot.	https://diamond.jp/articles/-/291378	fromaeradot	2022-01-02 04:15:00
ビジネス	ダイヤモンド・オンライン - 新着記事	「気が合わない人」と仕事をするときに役立つたった一つのスキル［見逃し配信］ - 見逃し配信	https://diamond.jp/articles/-/292095	関連	2022-01-02 04:10:00
ビジネス	ダイヤモンド・オンライン - 新着記事	ひろゆきが呆れる「恋人やパートナーに不安を感じる人」 - 1％の努力	https://diamond.jp/articles/-/289916	youtube	2022-01-02 04:05:00
ビジネス	東洋経済オンライン	車両も駅も中国流､｢ラオス鉄道｣開業直後の姿 ｢列車で東南アジアへ｣欧州鉄道ファンも注目 | 海外 | 東洋経済オンライン	https://toyokeizai.net/articles/-/479711?utm_source=rss&utm_medium=http&utm_campaign=link_back	東南アジア	2022-01-02 04:30:00