Get the most recent info and news about Autoliv on HackerNoon, where 10k+ technologists publish stories for 4M+ monthly readers.

Autoliv, Inc., through its subsidiaries, develops, manufactures, and supplies automotive safety systems to the automotive industry. The company offers passive safety systems, including modules and components for frontal-impact airbag protection systems, side-impact airbag protection systems, seatbelts, steering wheels, inflator technologies, and battery cable cutters, as well as protection systems for road users, such as pedestrians and cyclists. It operates in Europe, the Americas, China, Japan, and rest of Asia. The company primarily serves car manufacturers. Autoliv, Inc. was founded in 1953 and is headquartered in Stockholm, Sweden.

Autoliv

autoliv

Automotive Tier 1 supplier Autoliv has announced its intention to reduce its headcount in France. The move is related to the 'indirect headcount reduction initiative' that was announced in June this year. The reduction will “significantly strengthen ...

Autoliv to reduce headcount in France

Autoliv Inc. is a global leader in automotive safety solutions, providing innovative products and systems that save lives and prevent injuries. With a rich history spanning over six decades, Autoliv has continuously evolved to meet the changing needs of ...

Autoliv Inc.: A Comprehensive Review of Its Safety Solutions

Autoliv Inc. is a global leader in automotive safety systems, and its role in reducing road accidents cannot be overstated. With a strong commitment to innovation and a focus on saving lives, Autoliv has made significant contributions to road safety worldwide.

The Role of Autoliv Inc. in Reducing Road Accidents

Automotive Tier 1 supplier Autoliv has announced its intention to reduce its headcount in France. The move is related to the ‘indirect headcount reduction initiative’ that was announced in June this year. The reduction will “significantly strengthen ...

Continue reading and ten best stocks Motley Fool Stock Advisor electric vehicles Lee Samaha has no position in any of the stocks mentioned. The Motley Fool has positions in and recommends Watsco. The Motley Fool has a disclosure policy.

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(MENAFN- The Express Wire) Automotive Rader Sensors Market report containing 126 page is segmented by regions, types, applications and manufactures (Analog Devices, Inc., Asahi Kasei Corporation, Autoliv Inc., Continental AG, Delphi Automotive Systems ...

Global Automotive Rader Sensors Market Size 2022 Analysis By Competitor Landscape, Regions And Forecast Till 2028 | Report By Industry Research. Co

Automotive safety systems supplier Autoliv Inc (NYSE: ALV) plans to reduce its headcount in France as part of the previously announced initiatives to reduce its global headcount and optimize its footprint. On June 8, Autoliv announced its intention ...

GM, Ford Supplier Autoliv Slashes France Headcount By 20%

Automotive safety systems supplier Autoliv Inc ALV plans to reduce its headcount in France as part of the previously announced initiatives to reduce its global headcount and optimize its footprint. On June 8, Autoliv announced its intention to ...

According to The Insight Partners, "Automotive Passive Safety System Market Forecast to 2028 – COVID-19 Impact and Global Analysis – By Type (Airbag, Seatbelt, Occupant

Automotive Passive Safety System Market Size to Hit $25.93 Billion, Globally, by 2028 - Exclusive Report by The Insight Partners

Autoliv, Inc. (NYSE: ALV) and (SSE: ALIVsdb), the worldwide leader in automotive safety systems, today announces its intention to reduce

Autoliv Intends to Reduce Headcount in France

As the UAW strike entered its 25th day Monday, local automotive parts supplier Sodecia Automotive Detroit filed notice that it laid off 62% of its workforce while General Motors and Ford Motor Co ...

Auto supplier is latest for layoffs, with more than half its force idled due to UAW strike

Despite economic uncertainties, the Zacks Building Products - Air Conditioner & Heating industry stocks like WSO, AZEK, and AAON are likely to gain from an improved residential and non-residential market, pro-environmental moves and technological development.

Autoliv (ALV) Q3 Earnings Miss Estimates, Sales Rise Y/Y

The "Lane Departure Warning System Market: Global Industry Trends, Share, Size, Growth, Opportunity and Forecast 2023-2028" report has been added to ResearchAndMarkets.com's offering. The global lane departure warning system (LDWS) market is witnessing remarkable growth,

LDWS Market's Future Shines Bright: ADAS Adoption and Automotive Industry Expansion Drive Growth

Autoliv's positive Q3 results, driven by price negotiations and new products, along with plans to improve margins. See why we rate ALV stock a buy.

Autoliv: Global Safety Growth And Margin Improvement To Drive Valuation Upside

Sourced from AI newsletters and magazines. Image Source: Pixabay 1) Gosu.ai — For hardcore gamers Image Source: Gosu.ai’s website If you’ve always been enthralled by playing types, is going to be a treat for you. For hardcore gamers, Gosu.ai has built an intelligent assistant that analyzes specific actions down to one’s mouse movement and then serves better recommendations for the players. As the founder of Gosu, believes that their AI assistants can cater strategic gaming suggestions to gamers worldwide. This covers up to 600 million gamers who play hardcore games such as MOBAs, Shooters and MMOs. Gosu.ai also offers , for instance, for companies who build gaming tools to understand their users’ behaviour and other interaction analytics. CS: GO, PUBG Gosu.ai Alisa Chumachenku B2B services predictive analytics 2) MARS — A classic conference for geeks by Jeff Bezos Image Source: Google MARS images Here is the , showing off after a long walk with Bezos in the MARS meet up. MARS is the short for and , AI is the default geek thing in the room in every technology events. At “Summer camp for geeks” — how Bezos calls it, there were big minds from (former head), former NASA maestros, ’s BK, Adam Savage, inventor Dean Kamen and many others. In the midst of , BK tries to imbibe all the unconventional thoughts and information from the chosen big minds, behind the walls of sipping whiskey and smoking cigars. This was an invite-only event precisely to have unstructured conversations. Instead of focusing on improvements to be made in coming weeks or a year, Boston Dynamic’s robot dog Machine Learning, Automation, Robotics, Space Exploration AI DARPA Intel MythBusters Segway 72 hours kibitz Parker MARS was all about the future. 3) Neuroscience and computing breakthrough — Possibility to simulating human brain up to 100% Image Source: Google Images Who is going to leverage on what the from Germany, Japan, Norway and Sweden say about simulating human brain up to neuroscientists 100% precision? These neuroscientists believe that the existing supercomputers lack the memory capacity that is required to hold for every neuron in the whole network. The computers we embrace now for functionalities and processes we carry out cannot cope with rate of human brain’s activity. As per , for a network of one billion neurons, a large part of memory in each node is consumed by the single bit of information per neuron. To scale and simulate an entire human brain, the memory required per processor will have to be 100 times greater than what current computers possess. The explains how the state of 100% human brain simulation can be achieved by employing an extremely scalable ‘exascale hardware’. Designed and built using open source simulation software called , commonly used by neuroscientific communities for experimental purposes. Building hardware that can outperform human neural activity by running vast memory processors can shed light on research concerning several brain disorders. one bit of information per processor 1:1 simulation TNW Conference new algorithm NEST — Neural Simulation Tool 4) AI Assistant for taxi drivers — Advancements in self-driving vehicles Image Source: Affectiva Images Hyper-intelligent emotion trackers for drivers are expected to come handy in the coming years. The early player of this domain, , has just launched its emotion tracker. It’s capable of spotting drivers’ concentration level and mood (anger, joy, depression etc.). Starting today, Affectiva will be able to by examining their facial expressions. To build this, Affectiva has been working tightly with OEMs, such as startup called and vehicle safety system provider over the past 18 months. With AI reaching new heights every minute, Affectiva hopes once the majority of the population has shifted to self-autonomous vehicles, its focus will shift from . By pulling down the passengers’ profile from home assistants, Affectiva’s AI will therefore be able to create favourable ambience for everyone inside the vehicle. Affectiva track drivers’ emotions robotaxi Renovo Autoliv drivers to passengers 5) Odd yet wise coupling — Apple & IBM join to make AI more accessible for developers Image Source: Google Images Apple CEO and IBM CEO met in the Indian Treaty Room at Eisenhower Executive Office Building for the inaugural meeting of the . Though this seems like a queer combo, Apple and IBM together for the open onlookers such as us, both of these companies have been working closely to create an exemplary solution for AI developers and creators. Precisely, with the power of data provided by IBM , a massive enterprise repository, AI machine model developers can now leverage on the huge set of data, as well the sophistication to move all the machine models from popular model building tools like TensorFlow, Caffe or IBM Watson to multiple apps on iOS devices. This was made even more feasible when which will help creators connect the Watson model building process with the techniques to insert built models in the app running on the Apple device. Tim Cook Ginni Rometty American Technology Council Watson IBM announced its cloud console 6) Sassy AI assistant for retail shoppers — Soul Machine’s AVA Image Source: Google Images Soul Machine’s AVA is one of the groundbreaking AI assistant enhancing our existing retail market experience for each and every users. In toto, e-commerce and retail market having reached $1.8 trillion purchase value in the past Q3, 2017, supported by AI and bot assistants, the circulating assumptions signify that the technological explosion happening within several other verticals are supposed to submerge consumers in an extremely sophisticated purchase journey. Excepting suggestions for other wonderful AI tools and projects. Please share your personal favorites below 😃 Cheers 🍻 Ciao ✋

6 Captivating AI projects

In order to create Login with Google and Apple on your expo app with firebase, you need to understand few things: You cannot create login with Apple without exporting the expo app into a native app bundle. So you need to understand that, although I will explain how to do that in the article below. When you create a project on firebase, you will need to create file for apple sign in .plist You will need an Apple computer. A MacBook, MacBook Air or a Mac Desktop with Xcode installed. You will need Apple Developer’s Account which usually cost $99 a year. You have basic understanding of React Native and CLI. OK, so now you can proceed. Let’s first install the dependencies. Step 1# Create an Expo App It’s really easy to create an expo app. Just open your VS Code or any of your favourite code editor and run the commands below: yarn create expo-app yes, I am a fan of yarn 😀 Now you have a blank expo React Native app. But as we have learned above, we cannot implement Sign in with Apple, without exporting this app. Why now? Because sign in with apple is a native feature. Just like “In-app purchase” and many others. And to implement native features, you have to export expo app into a bare app and then do the configuration. Now you can simply run this command and open your expo app in a simulator expo start Step 2# Export Expo App to Bare iOS In order to export your expo managed app into a bare iOS app, you just have to run this command. expo run:ios This will create an /ios folder and install CocoaPods into it. As you can see in the screenshot below that, after the export is finished, you have an iOS folder as well as a new app on your simulator. This proves that you successfully exported the app. Step 3# Install rn firebase package After that, you simply go to https://rnfirebase.io/ This is a very handy package created to make React Native developer’s life easier when it comes to integrate firebase into your app. Just run the following command: yarn add @react-native-firebase/app Yes, I am still a yarn fan 😀 This should install rnfirebse app package within minutes. Step 4# iOS setup for firebase To allow the iOS app to securely connect to your Firebase project, a configuration file must be downloaded and added to your project, and you must enable frameworks in CocoaPods. Login into your firebase account and create a firebase project. (I am not going to tell you how to do that because it’s very simple). Then click on  add a new iOS application and enter your project’s details. The "iOS bundle ID" must match your local project bundle ID. I would suggest to use a reverse domain to have a unique id. Something like com.YOUR-DOMAIN.ios Once done, download the file file. .plist GoogleService-Info.plist After this, you need to enable Sign in with apple in your: Step 5# Configure your Xcode settings Using Xcode, open the projects file (or if using Pods). Because we exported our app via expo and installed pods. /ios/{projectName}.xcodeproj /ios/{projectName}.xcworkspace We will use .xcworkspace After that, just update the bundle identifier: Right-click on the project name and "Add files" to the project, as shown above: Locate the file we downloaded in step 4 and select it. Tip: Make sure you select checkbox as this will copy your google plist file into your project. copy in needed Then click on the run project button and see if your app is running on a simulator. Firebase needs to use the credentials on iOS, that is why the Firebase iOS SDK must be configured. To do this, open your file (or if on older react-native), and add the following: /ios/{projectName}/AppDelegate.mm AppDelegate.m At the top of the file, import the Firebase SDK: #import <Firebase.h> Within your existing method, add the following to the top of the method: didFinishLaunchingWithOptions - (BOOL)application:(UIApplication *)application didFinishLaunchingWithOptions:(NSDictionary *)launchOptions {
  // Add me --- \/
  [FIRApp configure];
  // Add me --- /\
  // ...
} Step 6# Link firebase library React Native Firebase library must be linked to your project in order to implement this feature. But because we are using React Native 0.60+ we automatically have access to " ", hence require no further manual installation steps. autolinking To automatically link the package, we just have to rebuild our project. To do that, just cd into your /ios folder first # iOS apps

cd ios/

pod install --repo-update But if you are on m1 MacBook then it will throw errors. To overcome that you just use following commands sudo arch -x86_64 gem install ffi

// then

arch -x86_64 pod install

// tip in order to remove the pod.lock file and install fresh use

arch -x86_64 pod install --repo-update If this worked, drop a ❤️ in the comments 🙃 If you get an error: [!] The following Swift pods cannot yet be integrated as static libraries:

The Swift pod `FirebaseCoreInternal` depends upon `GoogleUtilities`, 
which does not define modules. To opt into those targets generating module maps 
(which is necessary to import them from Swift when building as static libraries), 
you may set `use_modular_headers!` globally in your Podfile, 
or specify `:modular_headers => true` for particular dependencies. Then please add as show below in your pod file. This answer is found . here // after
  flags = get_default_flags()

  pod 'GoogleUtilities', :modular_headers => true 

// before
  use_react_native!( After this, build your project on Xcode and see if it succeeded. If yes, you are ready to move forward. Step 7# Enable Apple Sign-in Capability Now this step consist of two parts. Where you have to log in into your developer account and enable the sign in with apple capability You have to select sign in with apple capability from your Xcode So let’s start with the first. Login into your Apple developer account and navigate to certificates. Then click on + button and add identity. After that, provide the description for your app and the bundle identifier. Scroll down and select sign-in with Apple Then click continue and register. After that the secont part starts, where you just need to open your Xcode and click on your application bundle. Select signing & capabilities Click on + capability button and search for apple. Then select Sign in with Apple After you select this option, you should see it added into the app like below: Step 8# Create Sign in function to handle user request. Now this is time we all were waiting for. Import the following packages into your login screen or app.js file where ever you are implementing the sign in with apple feature. import auth from '@react-native-firebase/auth';
import { appleAuth } from '@invertase/react-native-apple-authentication'; I think I myself forgot about installing the @react-native-firebase/auth If you did to then please install it and then re-install the pods inside your folder. /ios Create a login function in the same file as described below: async function onAppleButtonPress() {
  // Start the sign-in request
  const appleAuthRequestResponse = await appleAuth.performRequest({
    requestedOperation: appleAuth.Operation.LOGIN,
    requestedScopes: [appleAuth.Scope.EMAIL, appleAuth.Scope.FULL_NAME],
  });

  // Ensure Apple returned a user identityToken
  if (!appleAuthRequestResponse.identityToken) {
    throw new Error('Apple Sign-In failed - no identify token returned');
  }

  // Create a Firebase credential from the response
  const { identityToken, nonce } = appleAuthRequestResponse;
  const appleCredential = auth.AppleAuthProvider.credential(identityToken, nonce);

  // Sign the user in with the credential
  return auth().signInWithCredential(appleCredential);
} Now, let’s create a button to trigger this function. For that first import apple Button: import { appleAuth, AppleButton } from '@invertase/react-native-apple-authentication'; Then create a button: function AppleSignIn() {
  return (
    <AppleButton
      buttonStyle={AppleButton.Style.WHITE}
      buttonType={AppleButton.Type.SIGN_IN}
      style={{
        width: 160,
        height: 45,
      }}
      onPress={() => onAppleButtonPress().then(() => console.log('Apple sign-in complete!'))}
    />
  );
} Perfect, now you can test the button functionality by running the app on your simulator. Step 9# Run the code on simulator for final test. And once you are logged in with your Apple ID. Tip: in order to login into your Apple account via simulator, you need to first log in into your iCloud and then accept some terms and conditions. You can check it into your firebase project if you can see the user entry: If you like this article, let me know in your comments. Peace!

Sign In with Apple + Expo React Native + Firebase + Mac m1

Photo by SIMON LEE on Unsplash AutoCAD is amongst the most widely used CAD systems in the world, with thousands of users on a regular basis. AutoCAD talents are in demand in a variety of sectors today, including architecture, engineering, and product design. However, understanding this programme without doing an AutoCAD course may be really difficult—especially if you're a complete novice. There is a great deal that you need to learn about AutoCAD—commands, customization, and even the entire user experience. Keeping this in mind we have put up a comprehensive blog here for newcomers to AutoCAD who haven’t done AutoCAD online course. You will get everything you need to understand the basics of AutoCAD. Let’s jump right in. What Exactly is AutoCAD? AutoCAD is amongst the most widely used CAD systems worldwide. It was published as Autodesk's flagship product in 1982. It has gone through 31 iterations since its inception. Indeed, it has remained unquestionably one of Autodesk's most popular products. AutoCAD is used to produce two-dimensional and three-dimensional drawings. It enables designers to develop their concepts, render them as drawings, and simulate them. Simply said, the possibilities are virtually limitless using AutoCAD. AutoCAD is used by thousands of people worldwide in a variety of disciplines like: Architecture Engineering Animation As a result, it's unsurprising that many people strive to become AutoCAD experts today. After all, developing AutoCAD abilities can open doors to a variety of vocations. What are the advantages of AutoCAD? The CAD interface distinguishes it as the finest technical design software for beginners to study in the early stages of a career in design. Here are some of the main benefits: It is capable of producing extremely precise designs. Drawings may be made in two dimensions or three dimensions. Additional computer programs can be used in conjunction with the design software. As an architectural planning tool, AutoCAD enables architects to design, plan, execute, and assess the structural integrity of a structure at the design stage. AutoCAD as a drafting tool assists engineers in designing, analysing, and resolving design difficulties, resulting in correct designs. It can be used in the field of 3D printing. A 3D print provides a number of advantages for designers, and this programme enables them to make use of them. The designs may be exported in a variety of popular file formats. AutoCAD is used in the fashion sector because it contains the capabilities essential for designing jewellery, toys, and other delicate things. AutoCAD as an industrial design tool. It contributes to cost savings in production by eliminating the time and effort necessary for the manual design. Basics of AutoCAD 1. Commands 101 Newcomers to AutoCAD should learn about AutoCAD commands. You may initiate a process by typing a command or a command shortcut in the command line. This might assist you in expediting the entire writing process. Rather than spending ten minutes navigating through AutoCAD icons with your computer mouse, you can simply type a quick command and hit enter. Naturally, these instructions occasionally invoke AutoCAD questions, such as prompting you to give a point. Once you've mastered these instructions, you'll be able to make drawings in a fraction of the time it previously took. There are hundreds of AutoCAD commands, which may appear intimidating at first. Certain commands support hotkey shortcuts, whereas others do not. However, you need not be concerned about becoming disoriented—all it's part of the learning process. We'll begin with one-key shortcuts in AutoCAD. As the name implies, these shortcuts require just the usage of a single key. Take a closer look at Autodesk's infographic below: 2. Is It Better to Ribbon or is it Not to Ribbon? Once you've mastered AutoCAD commands, you may find yourself relying less on the ribbon. Many individuals agree with this statement, preferring a large amount of room for sketching. If this is the case, you may disable the ribbon and palettes by hitting CTRL+0—repeat the command to restore the default settings. Alternatively, you may use the CLEANSCREENON and CLEANSCREENOFF commands. If you truly enjoy working with the ribbon, you may construct your own customised panel. You may then quickly access your most commonly used commands by populating this panel with them. 3. Customization Customization is a critical component of AutoCAD that will elevate you from novice to expert. While system administrators and CAD managers are frequently responsible for customization, senior drafters and skilled users are increasingly modifying AutoCAD themselves. AutoLISP and VBA are two popular and adaptable technologies that enable users to customise their user interfaces in ways that are not possible with standard user interface modification choices. They enable users to: Enforce industry norms for sketching and CAD, and automate monotonous activities. Customize the workspace by changing the toolsets, ribbon tabs and panels, and palettes. Modify graphical objects, configure system variables, and interface with third-party software, among other things. 4. Command Aliases After becoming acquainted with commands, you may like to create shortcuts for your favourite commands. These custom shortcuts are referred to as command aliases, and they are quite simple to construct. Select 'Customize' from the pull-down menu, followed by 'Edit Program Parameters' (acad.PGP). Notepad may be used to open this file. Now all that remains is to modify the command aliases. For instance, many AutoCAD users modify the COPY alias from CO to C—which necessitates the creation of a new alias for CIRCLE. You cannot have two aliases that are identical. Bear in mind that you'll need to establish some type of framework; else, things can become a little confusing. Once you've made your modifications, you must restart AutoCAD for them to take effect. 5. Drawing Templates When you begin a new drawing in AutoCAD, a new template is created. Typically, AutoCAD comes with its own drawing template that it assigns to you automatically unless you develop your own. A template may have a number of parameters, for example: Drawing restrictions Layer structure Linetypes Having these standards established prior to beginning can assist you in working efficiently and fast. Many businesses choose to use a drawing template to ensure that the staff adhere to the same standards when drafting AutoCAD designs. To design your own templates, simply open a new drawing as normal. Once you have, start defining settings that you imagine you’d need in a typical drawing. After that save your drawing as a template. Simply click 'Save As' or CTRL+SHIFT+S to accomplish this. Alternately, you may change the file type from DWG to DWT (AutoCAD Drawing Template). You will then be prompted to enter a description in a dialogue box—be sure to include sufficient data for future reference. After that, you may utilise the template to begin a new drawing. 6. Apps Did you know that exchange apps allow you to customise AutoCAD? These apps are AutoCAD-approved add-ons. There are hundreds to select from, ranging from productivity tools to content creation tools. They were developed by third-party developers for certain disciplines, so you're certain to discover something that piques your interest. Certain apps are free, while others are not. You shouldn't have any difficulty installing or downloading these apps. Conclusion Prior to this software, all engineers designed products using drafters and sheets. A designer spent an inordinate amount of time creating a product. And if the completed product did not meet the customer's need or if the manufacturers discover any mistakes in the product after production, they needed to redesign it entirely, which was a time-consuming procedure. This program is helped in resolving the aforementioned issues. We can store product design adjustments in this program; we can also update previously saved designs, which minimizes the time required to develop a product. Additionally, it minimised human labour. No wonder AutoCAD is in such high demand today. The average salary of an AutoCAD user is Rs. 297669. This figure is set to increase in the coming years. Anyone starting their career as an AutoCAD expert will have a bright future as the demand for AutoCAD experts will rise in the coming years.

Top 6 AutoCAD Advanced Concepts You Need to Know 

Showing Video Ads in React Native - Part 2: Android (including Audio Play)

TL;DR 💨 Contentlayer reduces a lot of friction in publishing the content on my static website. 😍 MDX with remark and rehype plugins is awesomely convenient and powerful. 🍵 Next.js jells very well with Contentlayer and MDX I fully embraced (SSG) for my website to optimize the site speed and scaling in the future. Static Site Generation Recently I’ve been researching on reducing the effort to create a new article on my website. There were many touch points in my project setup in order to: Next.js Publish a new article Estimate reading time Update the list of articles Create a new RSS feed Update the sitemap What Was The Problem? I analyzed a little more and found out the friction was in my MDX usage. My file structure looked like this: my-blog
├── public
├── data
│   └── blogs.json
├── components
│   └── Blog.tsx
└── pages
    ├── blogs
    │   ├── blog-one.mdx
    │   ├── blog-two.mdx
    │   └── blog-three.mdx
    └── index.tsx It is the recommended by Next.js. I was using and to transform MDX into pages. standard setup @mdx-js/loader @next/mdx Take for example, the content looked like this: pages/blogs/blog-one.mdx pages/blogs/blog-one.mdx import Blog from '../../components/Blog'

export const meta = {
  title: 'Blog One🚀',
  publishedAt: 'February 4, 2022'
  description: "Learn how to build a Next.js blog with MDX and Contentlayer!",
  cover: '/optimized/articles/blog-one/hero.webp',
}

export default ({ children }) => (
  <Blog
    title={meta.title}
    description={meta.description}
    cover={meta.cover}
    publishedAt={meta.publishedAt}
  >
    {children}
  </Blog>
)

Hey There👋

Welcome to Blog one✨ Let's learn together! named-exported a meta data. It was picked up by the the default component that took care of the layout and rendered the meta data. blog-one.mdx The component looked like this: <Blog /> components/Blog.tsx import { BlogProps } from './types'

export default function Blog(props: BlogProps) {
  return (
    <article>
      <h1>{props.title}</h1>
      <h2>{props.description}</h2>
      <p>
        {props.publishedAt}
      </p>
      <img alt={props.title} src={props.cover} width="100%" loading="lazy" />
      {props.children}
    </article>
  )
} I was treating MDX files as pages. Because the data in each MDX file was trapped in the page, I duplicated all the meta data and aggregated them in . I used it to maintain the list of articles on my website, the RSS feed, and the for SEO. meta data/blogs.json sitemap It would be much better if I could treat the MDX files as data, and generate pages based on the data. This way, . Publishing a new article ideally could be much more frictionless. I could use the MDX files as data points and page content at the same time I came across and found out he was using a alpha library called to solve the problem. Lee Robinson’s website Contentlayer What is Contentlayer is an library in its early stage that turns content into data. It works roughly like this: Contentlayer It takes in headless CMS or local content in YAML, JSON, MDX, or Markdown as source. It transforms the content into TypeScript types and data files in JSON that includes the original content, meta data, and any derived data we specified. It aggregates all the data in JSON and exports them as . ESM For my use case, I can use the aggregated data generated by Contentlayer to replace my previous manual process: I use the generated data to build the new page for an article. I use the generated data to render . the list of articles I use the generated data to create a new RSS feed. I use the new file structure to generate a new sitemap. All automatic! Contentlayer offers easy integration with Next.js. I’ll show you how in the next sections. Using MDX as Data Let’s first explore how to use MDX as a data point. MDX offers support with custom parsers. You can express the meta data like this: YAML frontmatter ---
title: 'Blog One🚀'
publishedAt: 'February 4, 2022'
description: 'Learn how to build a Next.js blog with MDX and Contentlayer!'
cover: '/optimized/articles/blog-one/hero.webp'
---

Hey There👋

Welcome to Blog One✨ Let's learn together! You can see the meta data in YAML syntax is inside the block, and the body of the content follows in MDX syntax. Compared to the where MDX files were treated as pages, the new MDX file contains only meta data and content. --- old setup The next thing we need to do is to generate the blog page that renders the meta data and the content with the layout from component. <Blog /> Integrating Contentlayer in Next.js Now that we updated the MDX files to contain only data and content, Let’s move them into the directory. data The new file structure looks like this: my-blog
├── public
├── components
│   └── Blog.tsx
├── pages
│   ├── blogs
│   │   └── [slug].tsx
│   └── index.tsx
└── data
    └──blogs
       ├── blog-one.mdx
       ├── blog-two.mdx
       └── blog-three.mdx Notice that we replaced the MDX files in directory with a . We'll use this page to statically generate the blog pages . pages/blogs dynamic route [slug].tsx later Configuring Contentlayer Contentlayer offers seamless integration with Next.js. To install the dependencies: yarn add contentlayer next-contentlayer Contentlayer reads the configuration from . Let's create one. contentlayer.config.ts touch contentlayer.config.ts Inside the , we need to add instructions to tell Contentlayer how to parse: contentlayer.config.ts : namespace name : input files filePathPattern : content body type for parsing bodyType : meta data fields fields : derived meta data fields computedFields contentlayer.config.ts import { defineDocumentType, makeSource } from 'contentlayer/source-files'
import readingTime from 'reading-time'

export const Blog = defineDocumentType(() => ({
  name: 'Blog',
  filePathPattern: 'blogs/*.mdx',
  bodyType: 'mdx',
  fields: {
    title: { type: 'string', required: true },
    publishedAt: { type: 'string', required: true },
    description: { type: 'string', required: true },
    cover: { type: 'string', required: true },
  },
  computedFields: {
    readingTime: { type: 'json', resolve: (doc) => readingTime(doc.body.raw) },
    slug: {
      type: 'string',
      resolve: (doc) => doc._raw.sourceFileName.replace(/\.mdx/, ''),
    },
  },
}))

export default makeSource({
  contentDirPath: 'data',
  documentTypes: [Blog],
  mdx: {
    remarkPlugins: [],
    rehypePlugins: [],
  },
}) In the , we can compute data like from the content body🤩. I'm using for calculating the reading time based on word count. The field is for generating the dynamic route later in the page. computedFields readingTime reading-time slug [slug].tsx Under the hood, Contentlayer uses to parse MDX and YAML frontmatter and extract the content and data. If you're interested in the magic behind it, you can read more about and . These are the libraries uses internally. mdx-bundler gray-matter remark-mdx-frontmatter mdx-bundler At the end of the configuration, will then look for files that match pattern under directory and generate the blog data in directory at your project root. makeSource blogs/*.mdx data .contentlayer Lastly, wrap your Next.js configuration with to integrate with Next.js's live-reload and build process. next-contentlayer next.config.js const { withContentlayer } = require('next-contentlayer')

module.exports = withContentlayer()({
  // ... your Next.js config
}) Using Contentlayer data for Static Site Generation We are ready to use the generated data from Contentlayer and build the static pages🤩 All we need to do is to use from to build the dynamic routes with and use to pass the blog data to the page. allBlogs .contentlayer/data getStaticPaths getStaticProps [slug].tsx pages/blogs/[slug].tsx import { useMDXComponent } from 'next-contentlayer/hooks'
import { allBlogs } from '.contentlayer/data'
import type { Blog } from '.contentlayer/types'
import BlogLayout from '../../../components/Blog'

type BlogProps = {
  blog: Blog
}

export default function Blog({ blog }: BlogProps) {
  const Component = useMDXComponent(post.body.code)

  return (
    <BlogLayout {...blog}>
      <Component />
    </BlogLayout>
  )
}

export async function getStaticPaths() {
  return {
    paths: allBlogs.map((blog) => ({ params: { slug: blog.slug } })),
    fallback: false,
  }
}

export async function getStaticProps({ params }) {
  const blog = allBlogs.find((blog) => blog.slug === params.slug)
  return { props: { blog } }
} After the project is built, you’ll see the blogs available at , , and ✨ /blogs/blog-one /blogs/blog-two /blogs/blog-three Bonus: remark & rehype Plugins There are a lot more we can do with MDX by leveraging remark and rehype plugins in the . contentlayer.config.ts is an awesome plugin ecosystem that transforms markdown. remark is another powerful plugin ecosystem that transforms HTML. rehype They are two separate ecosystems but we can convert remark to rehype and generate HTML markup. The transformation looks like this: MDX ----> remark AST ------> rehype AST --------> HTML
    parse            convert            stringify Contentlayer takes care of the flow. All we need to do is add the plugins to provide instruction for the transformations. I’m using the following plugins: to support . remark-gfm GitHub Flavored Markdown and to render heading links. rehype-slug rehype-autolink-headings to render syntax highlighting in code blocks. rehype-prism-plus to render code block titles. rehype-code-titles to provide accessibility to emojis. rehype-accessible-emojis contentlayer.config.ts + import remarkGfm from 'remark-gfm'
+ import rehypeSlug from 'rehype-slug'
+ import rehypeAutolinkHeadings from 'rehype-autolink-headings'
+ import rehypeCodeTitles from 'rehype-code-titles'
+ import rehypePrism from 'rehype-prism-plus'
+ import { rehypeAccessibleEmojis } from 'rehype-accessible-emojis'

// ...

export default makeSource({
  mdx: {
-    remarkPlugins: [],
+    remarkPlugins: [remarkGfm],
-    rehypePlugins: [],
+    rehypePlugins: [
+      rehypeSlug,
+      rehypeCodeTitles,
+      rehypePrism,
+      rehypeAutolinkHeadings,
+      rehypeAccessibleEmojis,
    ],
  },
}) Contentlayer Applications There are more things we can do with the data. Application #1: RSS Feed I can now write a script to generate an RSS feed base on the data! allBlogs scripts/rss.mjs import { writeFileSync } from 'fs'
import RSS from 'rss'
import { allBlogs } from '.contentlayer/data'

const feed = new RSS({
  title: "My Blogs",
  feed_url: 'localhost:3000/rss.xml',
  site_url: 'localhost:3000',
})

allBlogs.map((blog) => ({
  title: blog.title,
  description: blog.description,
  url: `localhost:3000/blogs/${blog.slug}`
  date: blog.publishedAt,
})).forEach((item) => {
  feed.item(item)
})

writeFileSync('./public/rss.xml', feed.xml({ indent: true })) Application #2: XML Sitemap It’s easier to write a script for sitemap generation. All we need is the file structure in the and directories. data page scripts/sitemap.mjs import { writeFileSync } from 'fs'
import { globby } from 'globby'
import prettier from 'prettier'

const pages = await globby([
  'pages/*.tsx',
  'data/**/*.mdx',
  '!pages/_*.tsx',
])

const urlTags = pages
  .map((file) =>
    file
      .replace('pages', '')
      .replace('data/content', '')
      .replace('.tsx', '')
      .replace('.mdx', '')
  )
  .map((path) => (path === '/index' ? '/' : path))
  .map(
    (path) => `
      <url>
          <loc>localhost:3000${path}</loc>
      </url>
    `
  )
  .join('')

const sitemap = `
  <?xml version="1.0" encoding="UTF-8"?>
  <urlset xmlns="http://www.sitemaps.org/schemas/sitemap/0.9">
      ${urlTags}
  </urlset>
`

const prettierConfig = await prettier.resolveConfig('./prettierrc')
const formatted = prettier.format(sitemap, {
  ...prettierConfig,
  parser: 'html',
})

writeFileSync('public/sitemap.xml', formatted) Run both scripts after building the project and automatically generate a new RSS feed and sitemap. In , add: package.json "scripts": {
+    "sitemap": "node scripts/sitemap.mjs",
+    "rss": "node scripts/rss.mjs",
+    "postbuild": "yarn sitemap && yarn rss",
  }, Final Thoughts Building Static sites with Next.js becomes so effortless with MDX and Contentlayer. MDX combines with remark and rehype ecosystem enriches the possibility of building consistent pages with Markdown. Contentlayer makes data and content in MDX files available to consume in Next.js projects. If you’re exploring ways to build your own static sites, check out the libraries mentioned earlier. It not only reduces the time to market but also is a lot of fun to build!🦄 This article is originally posted on . Daw-Chih’s website

Build Faster Next.js Static Sites Using MDX And Contentlayer 

I recently open-sourced my blog built using Gatsby! This post will walk you through why I chose Gatsby, the Gatsby plugins I used, as well as highlight some features that I have included in my blog. Why use Gatsby? One of the biggest pros of Gatsby is its ecosystem. There’s an endless number of plugins to add the features you need, as well as plenty of to get you started. templates Another important benefit is performance. Out of the box, you’re going to get a lightning-fast site, which in turn will boost your SEO. For reference, my site gets a near-perfect score with Gatsby: Lighthouse Gatsby blogs are built using React and GraphQL, so if you happen to be a React developer (like me) this is also a great plus to be able to build your site with a technology you feel comfortable with. Using Markdown with Gatsby I love Markdown, and Gatsby lets me write all of my blog posts with it. Gatsby’s is a great way to get started with this. If you’re looking for something a bit more powerful than Markdown, Gatsby also provides support for . With MDX, you’re able to write your posts in Markdown, and then also add in JSX components wherever you like. official blog template MDX Although my site only uses Markdown at the moment, I based my site off this so that I have the flexibility to add JSX to my posts down the road if I choose. mdx-blog-starter Gatsby plugins If you’re looking for a feature to add to your site, chances are there exists a plugin that will do it for you. A few notable mentions: if you’re looking to add Google Analytics to your site gatsby-plugin-google-analytics makes sure that external links in your Markdown will open in a new tab gatsby-remark-external-links for an RSS feed (which comes in handy when you want to cross-post to DEV!) gatsby-plugin-feed will add the ability to link to subheadings on your page (you can see it if you hover over one of the headings on this post) gatsby-remark-autolink-headers Social cards with Gatsby Social cards are the images you see when you share a link to your blog on sites like Twitter or Facebook. This is what the social card looks like for this post: There are a couple of plugins that will generate social cards for you, however they are slightly limited in their design and functionality. I instead opted to that lets me create a React component for my social card, and take a screenshot of it. modify a script created by Max Poutord Newsletter sign-up prompt Everyone recommends that you should have a newsletter, so I’ve added a component to the bottom of each blog post that gives readers the option to subscribe. I decided to go with as it was the cheapest option I could find, compared with some of their competitors. I’m yet to release my first newsletter, but I am thinking of making it a monthly roundup of my posts and what I’ve been up to. Feel free to if you are interested! buttondown.email subscribe Web monetization with Gatsby During DEV’s web monetization hackathon a couple of months back, I wrote a post on how to set up . Essentially, web monetization means that if people visit my site, and they’re subscribed to a service like , I will receive a small amount of money (fractions of a cent) depending on the amount of time they visit my site.It’s super simple to set up. I’ve only made $5 so far, but I think the idea behind it is pretty cool. web monetization with Gatsby Coil Each post links to its Markdown file Now that my blog is open source, I can give readers the opportunity to make contributions to my site. At the top of each post, I have a link to its Markdown file on Github. If you happen to notice a typo while reading one of my posts, you’re welcome to open a pull request on Github to fix it! Hosting Gatsby on Netlify For hosting, I use . It’s very user-friendly, and it’s free! Each time I push to my blog’s repository, it will automatically trigger a new deploy and my site will be ready in minutes. Netlify What’s next? Updating my blog has been kind of addictive, and there’s a couple more features that I’m planning on adding: Better code snippets Integration with DEV using its API I think this blog overhaul has rejuvenated my interest in writing posts, and so I’m excited to see what the following months will bring. Stay tuned! Github: https://github.com/emgoto/emgoto.com Previously published at https://www.emgoto.com/gatsby-blog/

Open Sourcing my Gatsby Blog

Price action tends to happen where people are planning to keep the crypto they buy. A bigger movement on a spot exchange easily translates into a much more radical move on the exchanges that match and mirror cash’s behavior, like perpetual swaps and futures. The inefficiencies in price can (and have been) taken advantage of, both inside a single exchange and by combining exchanges. It’s like buying 10 apples downtown for a dollar, walking uptown and selling those same apples for $2 – that’s $1 in your pocket as pure arbitrage! Derivatives When exchanges offer derivatives, or trading products who somehow derive their value from an underlying asset, all sorts of new worlds open and opportunities arise. While futures, options and other kinds of derivatives in traditional markets are conquered by quant trading funds with both the wherewithal and capital to dominate any inefficiency in moments – the opportunities last a fair deal longer in crypto. This is an aside, but DeFi leader Compound.io has a ‘liquidation’ mechanism for loans that devalue against the asset they borrowed and would risk bankruptcy except that other Compound uses can opt to pay back a part of the debt and in return they receive some of the collateral at a discount. The long and short of it is that a year or two ago some loans in ETH totaling a few millions of dollars went up for liquidation and every single automated liquidator in that ecosystem had a piece and there was some left over – meaning that the big guys haven’t cornered every opportunity in crypto, yet! Here, have some opensource compound autoliquidator I started writing: (Gist ) Link Derivatives Pt 2 I should explain that holding a position at any amount of leverage is an opportunity all on it’s own. Let’s say you notice that the aggregate volumes mean you think a bullrun is coming and you’d want to long that trend and hopefully catch 70% of the action. You do so, exposing $500 instead of the $100 capital you had and by the time the price moves a whole 1% you exit. Instead of gaining $1 without leverage you were able to capture $5… bravo! (aggr.trade has great aggregate data, I forked their repo once for a bot) When it comes to being able to figure out the data beyond your gut instincts, if you can find and maintain any edge – even 70% of the time – and successfully repeat that success, then you can do it at increasing levels of leverage until you maximize your yields without risking the chance of liquidation – in a mix according to as you see fit. Funding Where it gets interesting is when crypto exchanges define their own brand-spanking new instrument and contract, like they did with Perpetual Futures. This is really the wild wild west of the financial world, and now we can play with all the ins and outs that make these thing tick. Instead of a traditional futures contract, where the premium affects the price above/below the spot or underlying price and the time until the future expires is the control on the price (as – depending on your methods of settlement) your futures will be settled at present day value on expiry day. This means that (by and large) futures will converge or move closer to the underlying price. We can measure this by dividing the days left until expiry to see how much buying low and selling high now between futs and perps might allow us to win through what’s known as ‘cash n carry futures arbitrage.’ That was a lot about futures, but the heading indicated perps? Well, the good news for you is that I just finished a work of art. There’s a whole bunch of different ways to approach how to have a sure-fire way to win when the exchange literally force people holding or shorting crypto to pay a fee to each other (funding…) I looked at the sheer number of perpetual contracts that Binance and FTX share. I then wrote a short script to check and compare how different their funding rates were – and whether or not buying in one place could mean selling in another and keeping the funding rewards for both directions. Sure enough, you could! POC’s funding rebates… (note negative means paid to YOU!) The funding rates vary but if you apply some math to each and every shared perpetual contract and assuming entry-level maker fees of 2% on each exchange, there are as many as 5-7 opportunities to just break even or 2-3 opportunities at DOUBLE the cost in fees! AND I’M GIVING ACCESS AWAY FOR FREE! (just sign up for my FTX referral link, and use a Binance account that wasn’t referred by anyone). Fill this out: https://forms.gle/uwjMVV99i7hC9tMy7 By the way, have you joined the Coindex Discord server? Check our progress: https://discord.gg/xuWjAUv http://chart.coindexlabs.com https://charts.coindexlabs.com

A Hard Look Into Noticeable Cross-Exchange Inefficiencies [freebie inside]

An Anthology of Places for Buying Instagram Followers

On a global scale, the automotive industry is experiencing its largest growth in developing and emerging economies. However, China and the USA still remain the greatest automobile markets when it comes to both sales and production. According to , the worldwide sales of passenger cars reached 78.6 million in 2017 and it is expected to grow in the future. Statista Quite like the cell phones have become more capable than making calls, the cars can do a lot more than just drive and park. The automotive companies are embracing the latest technology to provide the most advanced, comfortable, and safest vehicles to their customers. In short, the cars are becoming large smart devices improving the way people move around. Increased Electric Fuel Efficiency Tesla is at the forefront of producing fuel-efficient electric and hybrid vehicles. These vehicles are so advanced that they can cover hundreds of miles with a single charge. More than 270 ambitious startups are working to improve the electric vehicles industry. The global electric vehicle sales are expected to . grow by 38% reaching 6.67 million units in 2019 Back in 2016, more than 2 million electric vehicles were sold and this figure is going to rise this year as more automotive manufacturers are adopting this technology in their vehicle production. VW and GM have already launched electric vehicles in their fleet and Volvo claims that all of their engines will be equipped with an electric motor by the end of this year. Predictive Technology As technology advances, the role of Artificial Intelligence (AI) and Machine Learning (ML) is becoming more prevalent in modern cars. Our vehicles are transforming into IoT devices which can connect to our phones and take our voice commands to perform various functions. This will help in personalizing the driving experience and such vehicles are going to receive the most popularity on platforms like . AutoLina A number of manufacturers are applying such algorithms which will help in automating the process of setting up a vehicle. Predictive technology can also help in setting up sensors in the car that will inform if it needs a check-up from the mechanic. It will also play a vital role in estimating the performance of your car after considering its condition and mileage. Conclusion — Viewing it from an Investor’s Perspective The ultimate truth is that these automobile companies are too big to fail and the financial consequences of such an incident will impact the economy of the entire country. Back in 2009, GM and Chrysler were given a government bailout to emerge from bankruptcy. This wasn’t the first time as the government had done it for Chrysler once before in 1979. The driverless cars are setting the precedence for CaaS (Car-as-a-Service) where the users can summon a driverless vehicle with the help of an app. This will be the most advanced form of ride-hailing services which are very popular these days. Thus, considering the potential which this industry possesses in the future, investors are looking at some hefty profits by making investments in it. <a href="https://medium.com/media/3c851dac986ab6dbb2d1aaa91205a8eb/href">https://medium.com/media/3c851dac986ab6dbb2d1aaa91205a8eb/href</a>

Emerging Trends in the Automotive Industry Investors Should Look Out For

I’m running , a Telegram channel about and in general. Here are the best posts of September 2018. @pythonetc Python programming Overriding vs overloading There are two concepts with similar names that can be easily confused: overriding and overloading. Overriding happens when a child class defines a method that is already provided by its parents effectively replacing it. In some languages you have to explicitly mark the overriding method (C# requires the modifier), in some languages it's optional (the annotation in Java). Python doesn't require any special modifier nor does it have a standard way to mark such methods (some people like to use a custom decorator that does virtually nothing, just for the sake of readability). override @Override @override Overloading is another story. Overloading is having multiple functions with the same name but different signatures. It’s supported by languages like Java and C++ and is often used as a way to provide default arguments: class Foo {    public static void main(String[] args) {        System.out.println(Hello());    }

public static String Hello() {        return Hello("world");    }

public static String Hello(String name) {        return "Hello, " + name;    }} Python doesn’t support finding functions by their signatures, only be their names. You can write code that analyzes the types and number of arguments explicitly. That usually looks clumsy and generally is not a nice thing to do: def quadrilateral_area(*args):    if len(args) == 4:        quadrilateral = Quadrilateral(*args)    elif len(args) == 1:        quadrilateral = args[0]    else:        raise TypeError()

return quadrilateral.area() If you need type hints for this, the module can help you with the decorator: typing @overload from typing import overload

@overloaddef quadrilateral_area(    q: Quadrilateral) -> float: ...

@overloaddef quadrilateral_area(    p1: Point, p2: Point,    p3: Point, p4: Point) -> float: ... Autovivification allows you to create a dictionary that returns the default value if the requested key is missing (instead of raising ). To create a you should provide not a default value but a factory of such values. collections.defaultdict KeyError defaultdict That allows you to create a dictionary that virtually contains infinite levels of nested dicts, allowing you to do something like . d[a][b][c]...[z] >>> def infinite_dict():...     return defaultdict(infinite_dict)...>>> d = infinite_dict()>>> d[1][2][3][4] = 10>>> dict(d[1][2][3][5]){} Such behavior is called “autovivification”, the term came from the Perl language. Object instantiation An object instantiation includes two significant steps. First, the method of a class is called. It creates and returns a brand new object. Second, Python calls the method of that object. Its work is to set up the initial state of the object. __new__ __init__ However, isn't called if returns an object that is not an instance of the original class. The reason for this is that it was probably created by another class, hence was already called for that object: __init__ __new__ __init__ class Foo:    def __new__(cls, x):        return dict(x=x)

    def __init__(self, x):        print(x)  # Never called

print(Foo(0)) That also means that you should not ever create instances of the same class in with a regular constructor ( ). It could lead to the double execution or even infinite recursion. __new__ Foo(...) __init__ Infinite recursion: class Foo:    def __new__(cls, x):        return Foo(-x)  # Recursion Double : __init__ class Foo:    def __new__(cls, x):        if x < 0:            return Foo(-x)        return super().__new__(cls)

    def __init__(self, x):        print(x)        self._x = x The proper way: class Foo:    def __new__(cls, x):        if x < 0:            return cls.__new__(cls, -x)        return super().__new__(cls)

    def __init__(self, x):        print(x)        self._x = x [] In Python, you can override square brackets operator ( ) by defining magic method. This is how you create an object that virtually contains an infinite number of repeated elements: [] __getitem__ class Cycle:    def __init__(self, lst):        self._lst = lst

    def __getitem__(self, index):        return self._lst[            index % len(self._lst)        ]

print(Cycle(['a', 'b', 'c'])[100])  # 'b' The unusual thing here is that the operator supports a unique syntax. It can be used not only like this — , but also like this — , or , or , or even . The semantic is , but you can use it any way you want for your custom objects. [] [2] [2:10] [2:10:2] [2::2] [:] [start:stop:step] But what gets as an index parameter if you call it using that syntax? The slice objects exist precisely for that. __getitem__ In : class Inspector:...:     def __getitem__(self, index):...:         print(index)...:In : Inspector()[1]1In : Inspector()[1:2]slice(1, 2, None)In : Inspector()[1:2:3]slice(1, 2, 3)In : Inspector()[:]slice(None, None, None) You can even combine tuple and slice syntaxes: In : Inspector()[:, 0, :](slice(None, None, None), 0, slice(None, None, None)) is not doing anything for you except simply storing , and attributes. slice start stop step In : s = slice(1, 2, 3)In : s.startOut: 1In : s.stopOut: 2In : s.stepOut: 3 Coroutine cancellation Any running coroutine can be cancelled via the method. will be thrown into the coroutine that will lead for it and all wrapping coroutines to be terminated, unless the error is caught and suppressed. asyncio cancel() CancelledError is a subclass of that means that it can be accidentally caught by that is meant to catch “any error”. To safely do this within a coroutine, you stuck with something like this: CancelledError Exception try ... except Exception try:    await action()except asyncio.CancelledError:    raiseexcept Exception:    logging.exception('action failed') In , the common practice to schedule execution of some code at a later time is to spawn a task that does : asyncio await asyncio.sleep(x) import asyncio

async def do(n=0):    print(n)    await asyncio.sleep(1)    loop.create_task(do(n + 1))    loop.create_task(do(n + 1))

loop = asyncio.get_event_loop()loop.create_task(do())loop.run_forever() However, creating a new task may be expensive and is not necessary if you aren’t planning to any asynchronous operations (like the function in the example). Another way to do this is to use and functions that schedule an asynchronous callback to be called: do loop.call_later loop.call_at import asyncio                                                        def do(n=0):                           print(n)                           loop = asyncio.get_event_loop()    loop.call_later(1, do, n+1)        loop.call_later(1, do, n+1)                                       loop = asyncio.get_event_loop()    do()                               loop.run_forever()

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