投稿時間:2023-01-22 02:08:45 RSSフィード2023-01-22 02:00 分まとめ(11件)

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Ruby	Railsタグが付けられた新着投稿 - Qiita	MVCゼミ ワーク	https://qiita.com/tomo089/items/159293575177ce4bee4d	ccdmvccoderailsdbcreate	2023-01-22 01:42:29
海外TECH	MakeUseOf	5 Creative Activities That Can Boost Your Mental Health	https://www.makeuseof.com/mental-health-creative-activities-that-can-help/	outlet	2023-01-21 16:30:16
海外TECH	MakeUseOf	Is Your Internet Slow on Your Windows Laptop, But Not on Your Phone? Here's How to Fix It	https://www.makeuseof.com/internet-slow-on-windows-laptop-not-on-phone/	Is Your Internet Slow on Your Windows Laptop But Not on Your Phone Here x s How to Fix ItIs your smaller less powerful phone getting more bandwidth than your laptop Here s how to fix that on Windows	2023-01-21 16:15:15
海外TECH	DEV Community	Time Complexity	https://dev.to/abbhiishek/time-complexity-41a1	Time ComplexityTime complexity is a way to measure how fast an algorithm is When we talk about the time complexity of an algorithm we re trying to figure out how long it takes for the algorithm to finish running We do this by counting the number of steps or operations the algorithm takes The way we measure time complexity is by using something called Big O notation Big O notation is a way to write down how the number of steps an algorithm takes changes as the size of the input gets bigger We use the letter O followed by a number such as O n or O For example let s say we have an algorithm that looks through a list of numbers and finds the biggest one If the list has numbers the algorithm might take steps to find the biggest number If the list has numbers it might take steps In this case the time complexity of the algorithm is O n where n is the number of items in the list This means that as the number of items in the list gets bigger the number of steps the algorithm takes also gets bigger def find biggest arr biggest arr for num in arr if num gt biggest biggest num return biggestarr biggest find biggest arr print The biggest number in the list is biggest Another example let s say we have an algorithm that checks if a number is prime or not def is prime n if n lt return False for i in range int n if n i return False return Truen result is prime n if result print n is a prime number else print n is not a prime number In this example we define a function called is prime that takes in an integer as input The function first checks if the input number is less than or equal to and returns False if it is If the input number is greater than the function uses a for loop to iterate through all the numbers from to the square root of the input number For each iteration the function checks if the input number is divisible by the current number and if it is it returns False If the function completes the for loop without finding any divisors it returns True indicating that the input number is prime The time complexity of this algorithm is O sqrt n which is close to O and we can consider it as constant time This is because the number of iterations the for loop goes through is determined by the square root of the input number and regardless of the size of the input the number of iterations would be constant Also the algorithm performs a constant number of operations checking for divisibility for each iteration It s important to note that this algorithm is not the most efficient way to check for prime numbers and it is not suitable for large numbers But for small numbers it works well and the time complexity is O In summary the above python code is an algorithm that checks if a number is prime or not The algorithm takes a constant number of steps regardless of the size of the input which means that for any input number the algorithm takes a fixed set of steps Here the time complexity of the algorithm would be O sqrt n which is close to O and we can consider it as constant time It s important to note that measuring time complexity is not always easy and straightforward sometimes the algorithm may have multiple nested loops and different operations in such cases we have to consider the worst case scenario and calculate the time complexity accordingly Here is a simple Python code example for calculating the time complexity of an algorithm import timedef algorithm n start time time time algorithm code here for i in range n print i end time time time print Time complexity O n print Execution time end time start time algorithm Binary SearchBinary search is an efficient algorithm for searching through a sorted list of elements The basic idea behind binary search is to divide the list in half and repeatedly divide the remaining portion in half until the desired element is found The time complexity of binary search is O log n where n is the number of elements in the list The reason why the time complexity of binary search is O log n is that with each iteration the algorithm eliminates half of the remaining elements from consideration So if the list has elements the algorithm will eliminate elements on the first iteration elements on the second iteration and element on the third iteration This means that on average the algorithm will take log iterations to find the desired element Here is an example of binary search implemented in Python 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 arr x result binary search arr x if result print Element is present at index result else print Element is not present in array In this example we first initialize the low and high pointers to the first and last element of the list respectively We then repeatedly divide the remaining portion of the list in half until the desired element is found As we can see the number of iterations it takes to find the element is dependent on the log of the number of elements which makes it an efficient algorithm in terms of time complexity It is also important to note that for the binary search to work the input list should be sorted otherwise the algorithm will not work correctly and the time complexity will be affected In summary Binary search is an efficient algorithm for searching through a sorted list of elements Its time complexity is O log n where n is the number of elements in the list This is because with each iteration the algorithm eliminates half of the remaining elements from consideration It is important to have the input list sorted for the binary search to work correctly Bubble SortOne example of a sorting algorithm in Python is the bubble sort algorithm Bubble sort is a simple sorting algorithm that repeatedly steps through the list compares adjacent elements and swaps them if they are in the wrong order The pass through the list is repeated until the list is sorted Here is an example of bubble sort implemented in Python def bubble sort arr n len arr for i in range n for j in range n i if arr j gt arr j arr j arr j arr j arr j return arrarr bubble sort arr print Sorted array is arr In this example we first define a function called bubble sort that takes in an array as an input The function uses nested loops to iterate through the array with the outer loop going through the entire array and the inner loop comparing adjacent elements and swapping them if they are in the wrong order The outer loop makes n iterations where n is the length of the array and each iteration reduces the number of elements need to be compared by as the largest element bubbles up to the end of the array The time complexity of bubble sort is O n which means that the number of steps it takes to sort an array of n elements is proportional to the square of n This makes bubble sort inefficient for large arrays However bubble sort has the advantage of being easy to understand and implement and it s a good choice for small arrays or for educational purposes In summary bubble sort is a simple sorting algorithm that repeatedly steps through the list compares adjacent elements and swaps them if they are in the wrong order The pass through the list is repeated until the list is sorted The time complexity of bubble sort is O n which makes it inefficient for large arrays but it s a good choice for small arrays or for educational purposes	2023-01-21 16:47:59
海外TECH	DEV Community	Contribute on Open Source Projects as a Beginner	https://dev.to/anjankarmakar/contribute-on-open-source-projects-as-a-beginner-4mge	Contribute on Open Source Projects as a BeginnerOpen source software is an incredible way to build learn and collaborate with others Not only can you use open source software to build your own projects but you can also contribute to existing projects to make them better for everyone If you re new to open source the process of contributing can seem a little daunting But with a bit of guidance you ll be making contributions in no time Step Find a projectThe first step in contributing to open source is to find a project that you re interested in There are thousands of open source projects out there so it can be helpful to start by looking at projects that you already use or are related to your field of work or study Popular sites like GitHub and GitLab make it easy to search for and explore open source projects Step Read the documentationOnce you ve found a project that you re interested in be sure to read the documentation carefully This will give you an understanding of the project s goals how it s built and how you can contribute The documentation should also include information about how to set up the project on your local machine and any coding conventions or guidelines that you should follow Step Start smallIf you re new to open source it s best to start with small contributions This will help you get used to the process and give you a chance to build up your skills and confidence Simple tasks like fixing typos or improving documentation are great starting points Step Make a pull requestOnce you ve made changes to the code you ll need to submit a pull request A pull request is a way for you to propose changes to the project s codebase It allows the project s maintainers to review your changes and merge them into the project if they re approved Be sure to include a clear and detailed explanation of your changes and why they re needed Step Communicate with the communityOpen source is all about collaboration and communication Be sure to communicate with the other contributors on the project s forum mailing list or chat channel This will help you get feedback on your work and learn from other contributors In summary contributing to open source is a great way to build your skills collaborate with others and make a positive impact on the world By following these simple steps you ll be on your way to making your first open source contribution in no time	2023-01-21 16:33:30
Apple	AppleInsider - Frontpage News	Pick up Apple's M2 Mac mini 2023 for just $499	https://appleinsider.com/articles/23/01/21/pick-up-apples-m2-mac-mini-2023-for-just-499?utm_medium=rss	Pick up Apple x s M Mac mini for just The cheapest M Mac mini preorder price can be found at AppleInsider this weekend with the Mac mini eligible for an exclusive discount Save on the M Mac mini Apple s new M Mac mini may have gotten a price drop compared to the starting price of the M model but AppleInsider readers can save another with promo code APINSIDER at Apple Authorized Reseller Adorama when you order a retail configuration Select between the standard M model with GB of memory and a GB SSD for ーor double the amount of storage and pick up the GB model for Read more	2023-01-21 17:00:05
Apple	AppleInsider - Frontpage News	How to use SCP to transfer files in the macOS Terminal	https://appleinsider.com/inside/macos/tips/how-to-use-scp-to-transfer-files-in-the-macos-terminal?utm_medium=rss	How to use SCP to transfer files in the macOS TerminalSecure Copy is a UNIX standard used to transfer files from one computer to another He s how to use the function in macOS all via the Terminal window Before personal computers there were mainframe computers and timesharing terminals Users would log in to an account from a terminal to a mainframe and issue commands to the mainframe to process As the internet came of age in the s the need arose to be able to use such terminal commands securely across networks and computers In a Finnish programmer named Tatu Ylonen created the Secure Shell For background on using Secure Shell see our other SSH intro article Read more	2023-01-21 16:01:09
ニュース	BBC News - Home	Nadhim Zahawi: Tax error was careless and not deliberate	https://www.bbc.co.uk/news/uk-politics-64360260?at_medium=RSS&at_campaign=KARANGA	addresses	2023-01-21 16:49:29
ニュース	BBC News - Home	Stagecoach co-founder charged with human trafficking	https://www.bbc.co.uk/news/uk-scotland-64355631?at_medium=RSS&at_campaign=KARANGA	human	2023-01-21 16:08:04
ニュース	BBC News - Home	Chris Eubank Jr v Liam Smith: What next for boxing after 'unacceptable' taunts?	https://www.bbc.co.uk/sport/boxing/64353747?at_medium=RSS&at_campaign=KARANGA	Chris Eubank Jr v Liam Smith What next for boxing after x unacceptable x taunts Chris Eubank Jr says boxers need to set the example in the fight for an inclusive sport after controversy in Manchester	2023-01-21 16:20:03
ニュース	BBC News - Home	Liverpool and Chelsea's current mid-table reality exposed in Anfield stalemate	https://www.bbc.co.uk/sport/football/64360914?at_medium=RSS&at_campaign=KARANGA	Liverpool and Chelsea x s current mid table reality exposed in Anfield stalemateLiverpool and Chelsea are enduring a rare struggle and their dismal draw shows that mid table is where both currently belong	2023-01-21 16:41:21