![]() ![]() Docker gives you a nice, replicable, cross platform setup: on each dev machine it should work the same.It would not be the first time that someone "bricked" their Python setup due to a new version requirement. Running the whole dev setup in Docker helps keeping the host system clean.Many of my colleagues also use it for various tasks. Visual Studio Code is already my go tool for many languages (Node.js, bash, Terraform).I have some reasons for switching to this setup: It allows you to open any folder inside (or mounted into) a container and take advantage of Visual Studio Code's full feature set. The Visual Studio Code Remote - Containers extension lets you use a Docker container as a full-featured development environment. ![]() That's why I now use Visual Studio Code and "dev containers": I work on Windows, my colleagues on Mac and Linux. This increases when you need to share that setup with another developer on another platform. log( "CHILD: url received from parent process", url) Ĭonst browser = await puppeteer.I have a love and hate relationship with Python it is super easy to develop in Python (abundance of examples and packages, cross platform), but the setup of your development environment (Python versions, package versions) is too cumbersome. The code snippet below is a simple example of running parallel downloads with Puppeteer.Ĭonst downloadPath = path. □ If you are not familiar with how child process work in Node I highly encourage you to give this article a read. We can combine the child process module with our Puppeteer script and download files in parallel. Child process is how Node.js handles parallel programming. We can fork multiple child_proces in Node. Our CPU cores can run multiple processes at the same time. □ Learn more about the single threaded architecture of node here ![]() Therefore if we have to download 10 files each 1 gigabyte in size and each requiring about 3 mins to download then with a single process we will have to wait for 10 x 3 = 30 minutes for the task to finish. It can only execute one process at a time. You see Node.js in its core is a single-threaded system. However, if you have to download multiple large files things start to get complicated. In this next part, we will dive deep into some of the advanced concepts. ![]()
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