DevOps - What is it?

DevOps stands for development and operations, a combination of practices and tools that improve companies’ ability to rapidly build, update and deliver applications. It is a software development methodology that combines a software framework and IT functions to improve the speed and reliability of software delivery. It is a culture and set of processes that focus on collaboration, automation and integration throughout the software development lifecycle, from development and testing to deployment and maintenance.

Terraform Introduction

Terraform is an open source tool used to manage cloud infrastructure resources. It allows you to create, change, and destroy resources on cloud infrastructure like AWS, GCP, Azure, and DigitalOcean. It is often used by developers who need to work on multiple projects simultaneously. Read more about the basics, along with examples of real-world applications. Terraform Introduction Terraform is an open-source infrastructure as code (IaC) software tool created by HashiCorp. It allows users to define and provision data center infrastructure using a declarative configuration language.

Python Commands for Beginners

List of basic python commands and data types: Assignments and Expressions In Python, an assignment is a statement that binds a value to a variable. An expression is a combination of values, variables, and operators that evaluates to a single value. Assignments An assignment statement has the following syntax: 1 variable = expression The left-hand side of the assignment operator (=) is a variable name, and the right-hand side is an expression that evaluates to a value.

Managing PostgreSQL Credentials in Docker

This article details the implementation of a Python and PostgreSQL application within Docker, focusing on three primary methods for managing credentials: hardcoding, environment files, and terminal injection. It concludes with a robust application implementation featuring data persistence and deletion capabilities. Section 1: Project Foundation The following static files define the application environment and dependencies. These files remain constant regardless of the credential management strategy used. File Structure: 1 2 3 4 5 6 project/ ├── Dockerfile ├── requirements.

How to Set a Static IP Address in Boot2Docker: A Complete Step-by-Step Guide

Configuring a static IP address on your Boot2Docker virtual machine (VM) is critical when you need predictable network access for development, testing, or integration with other services. Boot2Docker, once the default Docker VM solution for non-native environments, runs on TinyCore Linux and offers a simple startup script mechanism that can automate network settings—including static IP assignment—at every boot. In this guide, I’ll show you how to overwrite DHCP and set a fixed IP address on your Boot2Docker VM’s primary network adapter (usually eth0).

The Calm You’re Missing Isn’t in an App

In a world dominated by screens, schedules, and constant stimulation, many of us are searching for simple, natural ways to recharge. Enter forest bathing—a calming, science-supported practice that’s capturing global attention not as a fitness trend, but as a powerful tool for mental clarity, stress relief, and overall well-being. If you’ve never heard of it (or thought it meant actually taking a bath in the woods), don’t worry. Forest bathing is easier—and more accessible—than you might think.

How Hugging Face Quietly Changed AI Forever

Introduction Hugging Face is a leading platform for natural language processing (NLP) and machine learning (ML) developers. It provides tools to build, train, and deploy AI models, making it easier for both beginners and experts to work with machine learning. This article will guide you through the core components of Hugging Face, including models, spaces, and organizations, and show you how to pull and run models using the Transformers library and GGUF models with llama.

Unlocking AI’s Hidden Power: The Secret Magic of Model Quantization

Quantization in Artificial Intelligence (AI) is a crucial technique that optimizes neural networks by reducing the precision of the numerical representations of their internal components, primarily weights and activations. Instead of using high-precision floating-point numbers like 32-bit floats (FP32), quantization converts them to lower-precision formats such as 8-bit integers (INT8), 16-bit floats (FP16), or even as low as 4-bit integers (INT4) or binary (1-bit). Purpose and Benefits of Quantization The main reasons for using quantization are:
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