投稿時間:2023-07-22 19:20:14 RSSフィード2023-07-22 19:00 分まとめ(23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）	求職者の行動を分析し、応募意欲が高い求職者へアプローチ！人材派遣会社向けLINE活用サービス登場	https://techable.jp/archives/214555	人材派遣会社	2023-07-22 09:00:29
AWS	AWS Japan Blog	【開催報告&資料公開】2023 年 5 月 Amazon Braket Monthly Workshop	https://aws.amazon.com/jp/blogs/news/event-report-202305-amazon-braket-monthly-workshop/	braketmonthlyworkshop	2023-07-22 09:53:39
AWS	lambdaタグが付けられた新着投稿 - Qiita	API Gateway→Lambda→DynamoDBとデータを受け渡す	https://qiita.com/vallack5296/items/c72b8846c451c6831e42	apigateway	2023-07-22 18:37:05
js	JavaScriptタグが付けられた新着投稿 - Qiita	【React Native】キーボードが表示されたときに要素を隠さないようにする方法	https://qiita.com/itinerant_programmer/items/137d5a1070914e4f7b62	reactnative	2023-07-22 18:32:08
Linux	Ubuntuタグが付けられた新着投稿 - Qiita	Linux PC を活用し、ファイルサーバ(Samba)を使う	https://qiita.com/okuto/items/2ebfda96860388ee396e	linuxpc	2023-07-22 18:16:39
AWS	AWSタグが付けられた新着投稿 - Qiita	API Gateway→Lambda→DynamoDBとデータを受け渡す	https://qiita.com/vallack5296/items/c72b8846c451c6831e42	apigateway	2023-07-22 18:37:05
AWS	AWSタグが付けられた新着投稿 - Qiita	結局のところ仮想マシン0台構成は現実的か	https://qiita.com/Regryp/items/d5eb49d8f26bf3572471	仮想マシン	2023-07-22 18:34:33
Git	Gitタグが付けられた新着投稿 - Qiita	rails sでPostgreSQLが実行できないエラー	https://qiita.com/uuuDi_97722/items/b462d6c045537b3c5020	establishedconnectiontos	2023-07-22 18:23:49
Git	Gitタグが付けられた新着投稿 - Qiita	現在のブランチを保留にして新たなブランチで作業をしたい[stash]	https://qiita.com/uuuDi_97722/items/ed14ef96dadaff20ff58	stash	2023-07-22 18:08:11
Ruby	Railsタグが付けられた新着投稿 - Qiita	rails sでPostgreSQLが実行できないエラー	https://qiita.com/uuuDi_97722/items/b462d6c045537b3c5020	establishedconnectiontos	2023-07-22 18:23:49
Ruby	Railsタグが付けられた新着投稿 - Qiita	現在のブランチを保留にして新たなブランチで作業をしたい[stash]	https://qiita.com/uuuDi_97722/items/ed14ef96dadaff20ff58	stash	2023-07-22 18:08:11
海外TECH	DEV Community	Code and Chill Guide 2023	https://dev.to/parmcoder/code-and-chill-guide-2023-aek	Code and Chill Guide Banner from Linda Nguyen on UnsplashFor the sake of productivity and to record my progress of how I use tools to write code and maintain my projects These are the steps or checklist for me to follow every time I got a new laptop Buy more monitorsDefinitely you should have at least monitors Switching between code and docs and other communication tools ms team LINE etc would be too frustrating believe me Set up the terminalFor me I think the new Macbook Air will always be my first suggestion for the laptop to buy It is productive to use most of the time With a good terminal you can work times faster This will save time and reduced your errors You can also use fuck just like how you swear most of the time to correct errors easily Use the tools that suits youPersonally it is great to code with VScode with extensions installed You can actually use profiles with VScode to help you personalize your style However the project indexing in Python is quite disappointing I prefer using PyCharm from JetBrains for most stuff related to python In case you have high wpm typing speed you can try neovim This will take practices and once you are comfortable with this You can work times faster than average IDE users It will rely on both typing speed and accuracy also to maximize the potential Manage your browser tabs Recently Apple announced the new features for the upcoming macOS Well it is also available in Google Chrome already You can try to use it also For me I use it to group tabs from Github Gitlab and my jira projects Listen to musicGet a playlist of your taste and listen to them while you code It does not make you work faster but it is good for your mental health and it is fun To stay focus try white noise and set the volume to where you feel relaxed RestYup just rest Maintaining your work life balance is the chill part Eventually you will spend less time than most people on average and still get your job done Please follow me bookmark this give this a like and share it to those who are not chilled or not coding Thank you guys	2023-07-22 09:50:21
海外TECH	DEV Community	WhatsApp Web Scraper - Find and Export Contacts!	https://dev.to/mrmjt/whatsapp-web-scraper-find-and-export-contacts-1i1g	WhatsApp Web Scraper Find and Export Contacts What I builtI created a powerful Python script that allows you to extract contacts from WhatsApp groups using WhatsApp Web This automated scraper simplifies the process of finding and exporting contacts saving you valuable time and effort Category Submission Data Automation Web Scraping Python App Link DescriptionThe WhatsApp Web Scraper leverages Selenium and the Chrome WebDriver to streamline the contact extraction process from WhatsApp groups It prompts users to input search queries for targeted results and exports them as CSV files for easy organization Link to Source Code Permissive LicenseMIT License Background What made you decide to build this particular app What inspired you WhatsApp Web is a popular platform and I noticed the need for a convenient way to extract contacts from groups Inspired to simplify this process for users I decided to build the WhatsApp Web Scraper to enhance their experience and productivity How I built it How did you utilize refine Did you learn something new along the way Pick up a new skill I utilized Python and Selenium to create the script Along the way I refined the scraping process improving the user interface and ensuring privacy protection by utilizing existing WhatsApp Web sessions Additional Resources InfoConnect with me on LinkedIn for more updates and projects Start streamlining your WhatsApp Web experience now Download the WhatsApp Web Scraper and discover its efficiency WebScraping DataAutomation Python WhatsAppWebScraper OpenSource GitHub	2023-07-22 09:42:27
海外TECH	DEV Community	Understanding Lists in Python: An In-Depth Overview	https://dev.to/srbhr/understanding-lists-in-python-an-in-depth-overview-3aak	Understanding Lists in Python An In Depth OverviewPython lists are an extremely versatile and extensively used data structure That can store diverse collections of items regardless of their type or combination of types This article aims to dive deep into Python lists memory management and list comprehension Table of contentsMemory Management of Lists in PythonHow Python Lists are Implemented InternallyPython List Operations and Their ComplexitiesPython List Alternatives and Efficient List OperationsHow To Use Python Lists Code Examples What are List Comprehensions in Python Memory Management of Lists in PythonOne thing that makes Python lists so powerful is that they are dynamic This means that the list size can change during execution When creating a list Python allocates more memory than required to accommodate future items So when you append new elements Python doesn t need to allocate more memory thereby increasing the efficiency of your program Each item in the list references the actual object stored in memory For instance when you create a list with integers the list does not hold the integer values directly Instead it stores the reference or pointer to the memory location where the actual integer is stored This feature allows Python lists to be heterogeneous i e they can store items of different types How Python Lists are Implemented InternallyPython lists are implemented as dynamic arrays When you append an item to a list Python adds it to the end of the array If the array is full Python allocates a new larger array and copies all the old elements to the new array This process is optimized by over allocation When a new array is needed Python doesn t just allocate enough space for the current number of elements but it allocates extra space for future elements While this over allocation can seem wasteful it improves performance when appending elements since a new array is optional for each append operation Lists in Python are similar to ArrayLists in Java and Vectors in C Python List Operations and Their ComplexitiesPython lists provide several built in methods for manipulating the list Let s discuss some of the most common operations Accessing elements list index Accessing elements in a list is a constant time operation i e O regardless of the list s size Appending elements list append item As we discussed earlier due to over allocation appending an item to a list is usually a constant time operation i e O But when a new array needs to be allocated the operation becomes linear time i e O n as list items are copied over to a new larger list Inserting elements list insert index item Inserting an item requires shifting all subsequent elements by one place so it s a linear time operation i e O n Removing elements list remove item Python needs to search for the item in the list and shift all subsequent elements so it s also a linear time operation i e O n Searching elements item in list Python needs to check each item until it finds the item so it s a linear time operation i e O n Python List Alternatives and Efficient List OperationsPython lists are amazing data structures available to us They re very powerful and versatile and you can see how they can also store multiple data types This tells us about where we can use Python Lists and where we should think of alternatives First let s talk about Efficient List Operations Preallocate List Space If you know how many items your list will hold preallocate space for it using the None n syntax This saves Python from needing to allocate space as you add elements If you re solving any interview problem and are sure of a constant memory that will be required to store elements Then you can do the following element list Use List Comprehensions List comprehensions are more readable and faster than using a for loop to create a list Avoid Using insert item and del list These operations are slow because they need to shift all other elements Instead consider using a collections deque if you need fast appends or pops from both ends of the list Python List Alternatives If you need fast appends or pops from both ends of the list Consider using a collections deque available in Python s Collection Framework If you need to search the list frequently consider using a set or a dict which offers constant time search operations If your list won t change or would be just used for look ups Then tuples are also a good option Remember Python lists are mutable ordered collections of items and have several powerful built in methods for manipulating these items Understanding how to use lists properly is fundamental to Python programming How To Use Python Lists Code Examples Creating a Listmy list print my list Output Accessing Elementsprint my list Output print my list Output Modifying an Itemmy list print my list Output Appending Elementsmy list append print my list Output Removing Elementsmy list remove print my list Output Inserting Elementsmy list insert print my list Output Checking if an Item Existsprint in my list Output Trueprint in my list Output False Finding the Length of the List Note len is a built in function print len my list Output What are List Comprehensions in Python Suppose you want to traverse a list in Python And then perform certain operations say check for even numbers in a list Here s how you would typically do number list for number in number list if number print number Output List Comprehensions are one liners that improve the performance of looping over a list in Python and allow for more optimized and cleaner looking code The same for loop can be easily written using List Comprehensions number list print x for x in number list if x List comprehensions follow a simple structure expression for item in iterable We used the print x as an expression followed by a for loop and a condition Conditions are optional but are used very frequently as well expression for item in iterable if condition One example of converting a list of strings of lower case characters to upper case using list comprehensions word list hello world zen python upper words word upper for word in word list print upper words Output HELLO WORLD ZEN PYTHON Nested list comprehensions are also possible For instance to flatten a matrix a list of lists matrix flat num for sublist in matrix for num in sublist print flat Output Note that the order of for clauses in a nested list comprehension matches the order you would use for nested for loops List comprehensions are potent tools that make your Python code more efficient and readable However they can become difficult to understand when overused or used for complex tasks so it s often a good idea to use them judiciously Thanks for reading Checkout Resume Matcher an open source ATS like parser in Python powered by ML and Vector Search Keep coding and for those who keep striving greatness is coming	2023-07-22 09:28:52
海外科学	NYT > Science	A Mystery in the E.R.? Ask Dr. Chatbot for a Diagnosis.	https://www.nytimes.com/2023/07/22/health/a-mystery-in-the-er-ask-dr-chatbot-for-a-diagnosis.html	exercises	2023-07-22 09:00:37
海外ニュース	Japan Times latest articles	Nadeshiko Japan cruise past Zambia 5-0 to begin Women’s World Cup	https://www.japantimes.co.jp/sports/2023/07/22/soccer/womens-world-cup/japan-win-zambia/	group	2023-07-22 18:32:30
ニュース	BBC News - Home	Jamie Foxx: Actor says he's 'on way back' after illness thanks to family	https://www.bbc.co.uk/news/entertainment-arts-66276785?at_medium=RSS&at_campaign=KARANGA	jamie	2023-07-22 09:41:53
ニュース	BBC News - Home	Gateshead match abandoned after hearse drives onto pitch	https://www.bbc.co.uk/news/uk-england-tyne-66273898?at_medium=RSS&at_campaign=KARANGA	gateshead	2023-07-22 09:05:58
ニュース	BBC News - Home	Zambia 0-5 Japan: Hinata Miyazawa goals help 2011 champions thrash Zambia	https://www.bbc.co.uk/sport/football/66276766?at_medium=RSS&at_campaign=KARANGA	zealand	2023-07-22 09:43:23
ニュース	BBC News - Home	Women's World Cup 2023: Hinata Miyazawa gives Japan lead against Zambia after 'brilliant' move	https://www.bbc.co.uk/sport/av/football/66276835?at_medium=RSS&at_campaign=KARANGA	Women x s World Cup Hinata Miyazawa gives Japan lead against Zambia after x brilliant x moveHinata Miyazawa finishes off a brilliant move against Zambia to give Japan the lead in their Women s World Cup match	2023-07-22 09:13:57
ニュース	BBC News - Home	England v Haiti: Rate the players in Lionesses' Fifa Women's World Cup opener	https://www.bbc.co.uk/sport/football/66277551?at_medium=RSS&at_campaign=KARANGA	australia	2023-07-22 09:31:17
ビジネス	東洋経済オンライン	歴史的な円安の後は一気に円高になるのだろうか アメリカの利上げ終了後の為替はどうなる？ | インフレが日本を救う | 東洋経済オンライン	https://toyokeizai.net/articles/-/688508?utm_source=rss&utm_medium=http&utm_campaign=link_back	東洋経済オンライン	2023-07-22 18:30:00
海外TECH	reddit	Post Match Thread: Brisbane vs Geelong (Round 19)	https://www.reddit.com/r/AFL/comments/156f2zj/post_match_thread_brisbane_vs_geelong_round_19/	Post Match Thread Brisbane vs Geelong Round HOME TEAM AWAY TEAM Brisbane Lions vs Geelong INFORMATION Result Brisbane defeated Geelong Date Saturday July Time PM AEST Ground Gabba Match Thread Link Match Thread Hub Link submitted by u AFLMatchThreads to r AFL link comments	2023-07-22 09:07:37