Abdulrhman Alkhodiry zeroows

In this article, I will share some of my experience on installing NVIDIA driver and CUDA on Linux OS. Here I mainly use Ubuntu as example. Comments for CentOS/Fedora are also provided as much as I can.

Functional, Reactive, and Distributed Systems Bibliography

Books

CQRS Journey: Free ebook from Microsoft (Print book available for purchase)
Functional and Reactive Domain Modeling: A high level overview of how to build up domain models using free monads and interpreters.
Reactive Microservices Architecture: Free booklet from Lagom and O'Reilly
Reactive Messaging Patterns with the Actor Model: Applications and Integration in Scala and Akka
Domain-Driven Design: Tackling Complexity in the Heart of Software

KeyDB with Docker

Migration from Redis

Connect to your keydb server new-keydb-server-1

keydb-cli -h new-keydb-server-1

ghcr (GitHub Container Registry) quickstart

CLI

To push container images to ghcr, you need peronal access token (PAT) - see how to create PAT

Get PAT (personal access token)

Personal Settings > Developer settings > Personal access tokens

	from gensim.models import KeyedVectors

	# Load gensim word2vec
	w2v_path = '<Gensim File Path>'
	w2v = KeyedVectors.load_word2vec_format(w2v_path)

	import io

	# Vector file, `\t` seperated the vectors and `\n` seperate the words
	"""

	#!/usr/bin/env python
	# -- coding: utf-8 --

	from __future__ import print_function

	__author__ = 'maxim'

	import numpy as np
	import gensim
	import string

	#![allow(unused)] // silence unused warnings while exploring (to comment out)

	use std::{error::Error, time::Duration};
	use tokio::time::sleep;

	use redis::{
	from_redis_value,
	streams::{StreamRangeReply, StreamReadOptions, StreamReadReply},
	AsyncCommands, Client,
	};