See how a minor change to your commit message style can make you a better programmer.
Format: <type>(<scope>): <subject>
<scope>
is optional
import { | |
Account, | |
clusterApiUrl, | |
Connection, | |
PublicKey, | |
sendAndConfirmTransaction, | |
SystemProgram, | |
Transaction, | |
} from '@solana/web3.js'; |
//This code was posted for an article at https://codingislove.com/send-sms-developers/ | |
const axios = require("axios"); | |
const tlClient = axios.create({ | |
baseURL: "https://api.textlocal.in/", | |
params: { | |
apiKey: "YOUR API KEY", //Text local api key | |
sender: "6 CHARACTER SENDER ID" | |
} |
## convert HTML POST data or HTTP GET query string to JSON | |
## get the raw post data from the AWS built-in variable and give it a nicer name | |
#if ($context.httpMethod == "POST") | |
#set($rawAPIData = $input.path("$")) | |
#elseif ($context.httpMethod == "GET") | |
#set($rawAPIData = $input.params().querystring) | |
#set($rawAPIData = $rawAPIData.toString()) | |
#set($rawAPIDataLength = $rawAPIData.length() - 1) | |
#set($rawAPIData = $rawAPIData.substring(1, $rawAPIDataLength)) |
It's over 9 years old (as of 2024-02-18), there are many better guides! You might like https://rust-unofficial.github.io/too-many-lists/
% Let's build a binary tree!
Let's build a binary tree of strings in Rust. To recap, each node in a binary tree:
DynamoDB is a powerful, fully managed, low latency, NoSQL database service provided by Amazon. DynamoDB allows you to pay for dedicated throughput, with predictable performance for "any level of request traffic". Scalability is handled for you, and data is replicated across multiple availability zones automatically. Amazon handles all of the pain points associated with managing a distributed datastore for you, including replication, load balancing, provisioning, and backups. All that is left is for you to take your data, and its access patterns, and make it work in the denormalized world of NoSQL.
The single most important part of using DynamoDB begins before you ever put data into it: designing the table(s) and keys. Keys (Amazon calls them primary keys) can be composed of one attribute, called a hash key, or a compound key called the hash and range key. The key is used to uniquely identify an item in a table. The choice of the primary key is particularl