投稿時間:2023-02-25 16:16:13 RSSフィード2023-02-25 16:00 分まとめ(19件)

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TECH Techable(テッカブル) ライカレンズをミラーレスに。オールドレンズのデザインに馴染むマウントアダプター https://techable.jp/archives/195652 shoten 2023-02-25 06:00:07
AWS lambdaタグが付けられた新着投稿 - Qiita Visual Studio Code上でのAWS SAM CLI ローカルデバッグ方法メモ https://qiita.com/KWS_0901/items/e8ac0595b6ecf317cf09 samcli 2023-02-25 15:12:08
AWS lambdaタグが付けられた新着投稿 - Qiita ローカル API Gateway + Lambda (SAM CLI) + MySQL(Docker)環境構築方法メモ https://qiita.com/KWS_0901/items/5d8ac7be4934e8ca7a8e samclidockerd 2023-02-25 15:07:51
python Pythonタグが付けられた新着投稿 - Qiita ゼロから始めるVSCode×Docker開発環境構築 https://qiita.com/kotattsu3/items/476a207992fd575401e3 docker 2023-02-25 15:24:14
python Pythonタグが付けられた新着投稿 - Qiita Python : クラスの継承 https://qiita.com/nyunyu122/items/9d7395f3d4de4190a991 言語 2023-02-25 15:23:40
python Pythonタグが付けられた新着投稿 - Qiita ラズパイ+人感センサーで会議室利用状況をslackに送る https://qiita.com/pingu-noots/items/959fe370fe989e58f0e6 slack 2023-02-25 15:23:31
python Pythonタグが付けられた新着投稿 - Qiita Python Flask sessionを使ってECのカートシステムを再現してみた https://qiita.com/ZawaP/items/23224e513e91a7ed443a cookie 2023-02-25 15:22:10
js JavaScriptタグが付けられた新着投稿 - Qiita Array.prototype.slice() 配列をシャローコピーする / 配列の最後の要素を取得する https://qiita.com/tasty_uni/items/291504645cb2274229a0 arrayprototypeslice 2023-02-25 15:13:28
Docker dockerタグが付けられた新着投稿 - Qiita ゼロから始めるVSCode×Docker開発環境構築 https://qiita.com/kotattsu3/items/476a207992fd575401e3 docker 2023-02-25 15:24:14
Docker dockerタグが付けられた新着投稿 - Qiita Visual Studio Code上でのAWS SAM CLI ローカルデバッグ方法メモ https://qiita.com/KWS_0901/items/e8ac0595b6ecf317cf09 samcli 2023-02-25 15:12:08
Docker dockerタグが付けられた新着投稿 - Qiita ローカル API Gateway + Lambda (SAM CLI) + MySQL(Docker)環境構築方法メモ https://qiita.com/KWS_0901/items/5d8ac7be4934e8ca7a8e samclidockerd 2023-02-25 15:07:51
Azure Azureタグが付けられた新着投稿 - Qiita AZ-900合格までにやったこと https://qiita.com/ykeiko/items/44ff02f232fb4d4c24e3 azure 2023-02-25 15:04:59
海外TECH DEV Community Revision - 25/02/2023 https://dev.to/ajith_56/revision-25022023-2dh9 Revision When do we use UNION operator in SQL We use UNION operator when we want to combine two or more SELECT statements UNION also combines two or more tables into a single result set UNION selects distinct rows and avoids duplicates What are the different subsets of SQL Data Definition Language DDL It allows you to perform various operations on the database such as CREATE ALTER and DELETE objects Data Manipulation Language DML It allows you to access and manipulate data It helps you to insert update delete and retrieve data from the database Data Control Language DCL It allows you to control access to the database Example Grant Revoke access permissions What are the difference between BCNF and NF In fourth normal form there are no multi valued dependencies of the tables but in BCNF there can be multi valued dependency data in the tables If you are working on mutiple git branches how do we switch to a particular branch Check all the branches present in git reposiotrygit branchSwitch to particular branchgit checkout lt branchname gt How do you change commit message of previous commit git commit amend m lt commit message gt In linux whenever we run a program we give flags Some use and some use What is the difference A single hyphen can be followed by multiple single character flags A double hyphen prefixes a single multicharacter option What are block elements and inline elements in HTML Block level elements are elements that take up the full width of their parent container and create a new line after the element Inline elements on the other hand are elements that only take up as much width as necessary and do not create a new line after the element What is the kernel and shell and how are they related The kernel is the core of the operating system that interacts directly with the hardware The kernel is responsible for managing system processes scheduling tasks handling memory management and managing device drivers The shell on the other hand is a user interface that allows users to interact with the operating system It provides a command line interface or graphical user interface GUI for users to run commands launch applications and manage files and directories The kernel and shell are both key components of an operating system The kernel is responsible for managing system resources and interacting with the hardware while the shell provides a user interface for users to interact with the operating system They work together to manage the computer system and execute user commands and tasks What is the git command to see all the commits of a particular file git log all lt file name gt What is the use of eq dunder method in python To change how Python checks if two things are equal using the operator we can create a special function in our class called eq This function will be called when we use the operator on objects of our class If we don t define this function Python will use a default method that checks if two objects are stored in the same location in the computer s memory What is the difference between rem and em in CSS rem stands for root em and is always relative to the font size of the root element i e the html element For example if the font size of the root element is set to px then rem is equal to px If the font size of the root element is changed then all rem values will be affected accordingly em stands for element em and is relative to the font size of the element that the em value is applied to For example if a paragraph element has a font size of px then em is equal to px If the font size of a parent element is changed then all em values inside that element will be affected accordingly What are mutable objects in python and what is the best way to identify them Mutable objects can be changed after they are created The best way to identify whether an object is mutable or not is to try to modify it and see if the modification is reflected in the original object To identify whether an object is mutable or not we can use the id function in Python The id function returns a unique integer identifier for an object which can be used to determine if two variables refer to the same object gt gt gt my list gt gt gt my tuple gt gt gt print id my list gt gt gt print id my tuple gt gt gt my list gt gt gt my tuple gt gt gt print id my list gt gt gt print id my tuple We can see that the list identity is not changed while the tuple identity is changed This means that we have expanded our list but created a completely new tuple Why we should not use multiple inheritance in software development Complexity Multiple inheritance can increase the complexity of a codebase When a class inherits from multiple parent classes it may be difficult to determine which parent s implementation of a method should be used in a particular scenario This can lead to confusion and errors Diamond problem The diamond problem is a common issue in multiple inheritance where a class inherits from two parent classes that both inherit from a common parent This can lead to ambiguity in the inheritance hierarchy making it difficult to determine which parent s implementation should be used What is the difference between strongly type and weakly typed language In a strongly typed language variables have a specific data type and the language enforces strict rules about how variables of different types can be used For example in a strongly typed language like Java we cannot assign a string value to an integer variable without first converting the string to an integer The compiler will enforce this rule at compile time preventing type related errors from occurring at runtime In a weakly typed language variables are not required to have a specific data type and the language may automatically convert between different data types as needed For example in a weakly typed language like JavaScript we can assign a string value to a variable declared as an integer and the language will automatically convert the string to an integer if possible What is the difference between statically typed and dynamically typed language Statically typed languages requires to declare the data type of a variable before it can be used This means that the compiler can check the type of each variable at compile time ensuring that only values of the correct type are assigned to each variable Examples of statically typed languages include Java C and C Dynamically typed languages on the other hand do not require variables to be declared with a specific data type Instead the type of a variable is determined at runtime based on the value assigned to it This allows for more flexibility in programming and can make the code easier to read and write Examples of dynamically typed languages include Python Ruby and JavaScript How do you give space between flex items CSS Using gap property The gap property sets the gaps between rows and columns It is a shorthand for row gap and column gap 2023-02-25 06:43:38
海外TECH DEV Community Divide and Conquer Algorithms in Python https://dev.to/thegeekyb0y/divide-and-conquer-algorithms-in-python-5gm8 Divide and Conquer Algorithms in PythonHello there programmers I am Aditya back again with another article on python In this blog post we re going to dive into the world of Divide and Conquer a powerful strategy for tackling complex problems We ll break down the key principles behind Divide and Conquer and explore some fun and useful examples that will have you feeling like a problem solving pro in no time Whether you re a seasoned programmer or just starting out this post is your ticket to mastering Divide and Conquer and taking your problem solving skills to the next level So grab a cup of coffee or your beverage of choice and let s get started Introduction to Divide and Conquer AlgorithmDivide and conquer is a popular algorithmic paradigm that involves breaking down a problem into smaller more manageable sub problems solving each sub problem independently and then combining the solutions to the sub problems to produce the final solution to the original problem key steps of Divide and Conquer AlgorithmDivide The problem is divided into smaller sub problems that can be solved independently This step usually involves breaking the problem into two or more sub problems of roughly equal size Conquer Each sub problem is solved independently using recursion or other techniques This step is where the actual work is done to solve the problem Combine The solutions to the sub problems are combined to form the solution to the original problem This step usually involves merging the solutions to the sub problems together Applications of Divide and Conquer AlgorithmDivide and Conquer is a versatile problem solving strategy that can be applied to many different types of problems Here are some common applications of Divide and Conquer Binary SearchBinary Search is a search algorithm that is used to find the position of a target value within a sorted array The algorithm works by repeatedly dividing the search interval in half until the target value is found Here s how Binary Search works Divide The search interval is divided in half Conquer The algorithm checks whether the target value is in the left or right half of the search interval and discards the other half Combine The algorithm repeats the process on the remaining half until the target value is found or the search interval is empty def binary search arr x low high len arr while low lt high mid low high if arr mid x return mid elif arr mid lt x low mid else high mid return Binary Search has a time complexity of O log n making it a very efficient algorithm for searching sorted arrays Merge SortMerge Sort is a sorting algorithm that works by repeatedly dividing the input array into two halves sorting each half separately and then merging the sorted halves back together Here s how Merge Sort works Divide The input array is divided in half Conquer Recursively sort each half of the input array using Merge Sort Combine Merge the sorted halves back together to obtain the final sorted array def merge sort arr if len arr lt return arr mid len arr left arr mid right arr mid left merge sort left right merge sort right return merge left right Merge Sort has a time complexity of O n log n making it one of the most efficient sorting algorithms Quick SortQuick Sort is another sorting algorithm that works by dividing the input array into two partitions one with elements smaller than a pivot element and another with elements larger than the pivot element Here s how Quick Sort works Divide Choose a pivot element and divide the input array into two partitions based on the pivot element Conquer Recursively sort each partition using Quick Sort Combine Combine the sorted partitions to obtain the final sorted array def quick sort arr if len arr lt return arr pivot arr len arr left x for x in arr if x lt pivot middle x for x in arr if x pivot right x for x in arr if x gt pivot return quick sort left middle quick sort right Quick Sort has a time complexity of O n log n on average but can have a worst case time complexity of O n in certain cases Maximum Subarray SumThe Maximum Subarray Sum problem involves finding the contiguous subarray within a one dimensional array of numbers that has the largest sum Here s how this problem can be solved using Divide and Conquer Divide The array is divided in half Conquer Recursively find the maximum subarray sum in the left and right sub arrays Combine Calculate the maximum subarray sum that includes the middle element and return the maximum of the three sums def max subarray sum arr if len arr return arr mid len arr left max max subarray sum arr mid right max max subarray sum arr mid cross max max crossing sum arr mid return max left max right max cross max def max crossing sum arr mid left sum float inf temp sum for i in range mid temp sum arr i left sum max left sum temp sum right sum float inf temp sum for i in range mid len arr temp sum arr i right sum max right sum temp sum return left sum right sumThe time complexity of Maximum Subarray Sum using Divide and Conquer is O n log n Overall the Divide and Conquer algorithm is a powerful tool that can be used to solve a wide variety of problems By understanding the basic principles and applications of Divide and Conquer you can tackle complex problems more efficiently and effectively FAANG Interview Question solved using Divide and Conquer AlgorithmQuestion Given an unsorted array of integers find the maximum sum of any contiguous subarray of the array Example For the input array the contiguous subarray with the maximum sum is and the maximum sum is Solution This problem can be solved efficiently using the Divide and Conquer algorithm We can recursively divide the input array into two halves and find the maximum subarray sum in each half The maximum subarray sum in the left half right half and the combined subarray containing the middle element can be computed in constant time The maximum subarray sum in the combined subarray can be computed by finding the maximum subarray sum starting from the middle element and the maximum subarray sum ending at the middle element and adding them together This can also be done in linear time Here s the Python code to solve the problem using the Divide and Conquer algorithm def max subarray sum arr if len arr return arr mid len arr left sum max subarray sum arr mid right sum max subarray sum arr mid find the maximum subarray sum starting from the middle element left max arr mid temp sum for i in range mid temp sum arr i left max max left max temp sum find the maximum subarray sum ending at the middle element right max arr mid temp sum for i in range mid len arr temp sum arr i right max max right max temp sum return the maximum subarray sum in the left half right half or combined subarray return max left sum right sum left max right max ResourcesTo further your learning and practice of Divide and Conquer algorithms in Python I recommend exploring some of these resources and trying out some of the practice problems and exercises they offer As you gain more experience with these algorithms you can start to apply them to real world problems and see the benefits of using this approach to problem solving There are many resources available for learning and practicing Divide and Conquer algorithms in Python including Python Algorithm Visualization PAV GeeksforGeeks HackerRank Coursera and Codecademy ConclusionAnd that my friends concludes our journey into the wonderful world of Divide and Conquer algorithms We ve explored the basics dug into some key applications and even written some code to solve a classic interview question So as we wrap up this blog post I d like to leave you with one final thought the next time you re faced with a challenging problem remember the power of Divide and Conquer algorithms By breaking it down into smaller more manageable subproblems you can find an elegant solution that will make you feel like a true coding wizard If you want to level up your Python skills and learn more advanced techniques be sure to follow me on Twitter I post all kinds of cool Python stuff from beginner friendly tips to advanced tricks and techniques that will blow your mind So what are you waiting for If you want to support my work 2023-02-25 06:16:55
海外ニュース Japan Times latest articles Boat service linking South Korea’s Busan and Japan’s Tsushima resumes https://www.japantimes.co.jp/news/2023/02/25/national/tsushima-busan-boat-service/ Boat service linking South Korea s Busan and Japan s Tsushima resumesThe restart of the route between Busan and Hitakatsu port in Tsushima Nagasaki Prefecture comes amid growing hopes in both countries for increased travel to 2023-02-25 15:40:14
海外ニュース Japan Times latest articles In graying Japan, local governments look to enact bold child-rearing support measures https://www.japantimes.co.jp/news/2023/02/25/national/local-government-support-child-rearing/ In graying Japan local governments look to enact bold child rearing support measuresWhile the local government moves might appear to be an encouraging step toward improvement they are also giving rise to concerns about regional gaps in 2023-02-25 15:31:58
ニュース BBC News - Home LGBT+ History Month: Katherine and Nat Sciver-Brunt's challenges as a cricket couple https://www.bbc.co.uk/sport/av/cricket/64665943?at_medium=RSS&at_campaign=KARANGA LGBT History Month Katherine and Nat Sciver Brunt x s challenges as a cricket coupleEngland cricketer Katherine Sciver Brunt has known her sexuality since a young age but her upbringing in a religious household meant that for a long time she struggled to accept who she is 2023-02-25 06:40:20
ニュース BBC News - Home Jake Paul v Tommy Fury: 'Not a chance in the world' this man can beat me - Fury https://www.bbc.co.uk/sport/av/boxing/64662653?at_medium=RSS&at_campaign=KARANGA Jake Paul v Tommy Fury x Not a chance in the world x this man can beat me FuryTommy Fury says there is not a chance in the world that YouTuber Jake Paul will beat him in Saturday s much publicised bout in Saudi Arabia 2023-02-25 06:44:57
ビジネス 不景気.com ナカヨの23年3月期は9億円の最終赤字へ、部材不足で - 不景気com https://www.fukeiki.com/2023/02/nakayo-2023-loss.html 最終赤字 2023-02-25 06:52:49

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