step 3 - initial configuration of openstack platform service step 4 - general openstack platform services configuration step 5 - service activation host_prep_tasks preparation tasks for the bare metal node to accommodate the containerized service. 2.3. deploying a vendor p...
If we go deeper, MS Access might have hardcoded outgoing email server with the password in it. Imagine someone stealing it. It does not need to open the Access FE. It can be done by Wireshark, inspecting the traffic from Access. So, having 2000 Access FE spread around the country might...
Notably, all these tasks are usually performed through wet-lab experiments that are expensive, time-consuming, and error-prone. Following the success of artificial intelligence (AI) in diverse fields and with an aim for transitioning from wet-lab to AI-driven applications for CRISPR-based therapies...
The rest is related to the specific framework. Usually, it is a copy/paste from some other project, like in here only the table/column name was changed. It literally took 5 mins to get this running.
ResultContainer is a Python library inspired by Rust's Result enum, designed for robust error handling. It seamlessly supports mathematical operations, attribute access, and method chaining on Ok(value), while automatically transitioning to Err(e) upon e
The main goal is to help you gain enough knowledge of containerized OpenStack Platform services to transition from a Systemd-based environment to a container-based environment. 1.1. Containerized services and Kolla Copy link Each of the main Red Hat OpenStack Platform (RH...
🚀Gospider is a powerful Golang web crawler that includes all the necessary libraries for transitioning from Python to Golang. It provides a fast and seamless transition for Python web crawlers to Golang. - gospider007/gospider
This book provides information to help you migrate from Oracle Solaris 10 JumpStart to Oracle Solaris 11 Automated Installer (AI), both of which are automated installation features of Oracle Solaris.
If you are looking to transition your career to data science, don't immediately start learning Python or R. Instead, leverage the domain expertise you have accumulated over the years. Here's a foolproof guide on how to do that.
Certificates and courses in product management or IT. If you have recently completed them, it will show your interest in the profession and your desire to develop; Key skills for the profession, both technical and managerial, such as product management, team management, Python, SQL, A/B testin...