brew install docker kubectl helm
You can do this with docker for mac by enabling kubernetes
Make sure to set docker for mac's resources for this demo. Ideally 8GB CPU, and 12GB of Memory.
brew install docker kubectl helm
You can do this with docker for mac by enabling kubernetes
Make sure to set docker for mac's resources for this demo. Ideally 8GB CPU, and 12GB of Memory.
use std::str; | |
fn main() { | |
// -- FROM: vec of chars -- | |
let src1: Vec<char> = vec!['j','{','"','i','m','m','y','"','}']; | |
// to String | |
let string1: String = src1.iter().collect::<String>(); | |
// to str | |
let str1: &str = &src1.iter().collect::<String>(); | |
// to vec of byte |
Thanks everyone for commenting/contributing! I made this in college for a class and I no longer really use the technology. I encourage you all to help each other, but I probably won't be answering questions anymore.
This article is also on my blog: https://emilykauffman.com/blog/install-anaconda-on-wsl
Note: $
denotes the start of a command. Don't actually type this.
x86_64.sh
. If I had a 32-bit computer, I'd select the x86.sh
version. If you accidentally try to install the wrong one, you'll get a warning in the terminal. I chose `Anaconda3-5.2.0-Li# in order to download release artifacts from github, you have to first retreive the | |
# list of asset URLs using the github repo REST API. Use the asset URL to download | |
# the artifact as a octet-stream data stream. You will need to get an access token | |
# from "settings -> developer settings -> personal access tokens" on the github UI | |
#!/bin/bash -e | |
owner="MY_ORG_NAME" | |
repo="MY_REPO_NAME" | |
tag="ARTIFACT_TAG" | |
artifact="ARTIFACT_NAME" |