kristofer / vscode and Maven
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Maven and POM.xml with VS Code: A Beginner's Guide
Maven and POM.xml with VS Code: A Beginner's Guide
VS Code provides excellent support for Maven projects through extensions, making it a powerful environment for Java development. Here's how Maven and POM.xml work with VS Code:
Essential Extensions
First, you'll need to install these VS Code extensions:
kristofer / FASTAPI and Data Modeling Python
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FastAPI, a modern Python web framework, is often used with database modeling to create robust APIs. Here's how it's typically done:
- Database Choice: FastAPI doesn't enforce a specific database. You can choose SQL (like PostgreSQL, MySQL, SQLite) or NoSQL databases. For SQL databases, SQLAlchemy is a common choice as an ORM (Object-Relational Mapper). SQLModel, created by the same author as FastAPI, is designed to work seamlessly with it.
- Data Models: Pydantic: FastAPI uses Pydantic for data validation and serialization. You define data models using Pydantic, which are then used to validate incoming requests and structure responses. SQLModel: SQLModel extends Pydantic to define database tables directly as Python classes. This allows you to define both data structures and database schemas in one place. SQLAlchemy: If using SQLAlchemy, you define models that map to database tables.
kristofer / Java & Python Git Ignore
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1 | # Java |
2 | *.class |
3 | *.jar |
4 | *.war |
5 | *.ear |
6 | *.zip |
7 | *.iml |
8 | *.ipr |
9 | *.iws |
10 | .settings/ |
kristofer / LLM concepts and limits
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A Short Personal Reference Guide to LLM Concepts & Limitations
Core Concepts
Foundation
- Large Language Models: Neural networks trained on vast text data to predict next tokens
- Architecture: Primarily transformer-based with attention mechanisms
- Parameters: Model size/capacity (billions to trillions)
- Training: Self-supervised learning on text corpora
- Inference: Generation of text responses to prompts
kristofer / API Introduction for Java & Python
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Introduction to APIs for Python and Java Newbies
APIs (Application Programming Interfaces) serve as bridges between different software applications, allowing them to communicate and share data with each other. For beginner programmers in Python and Java, understanding APIs opens up vast possibilities to enhance your applications with external data and functionality.
What is an API?
An API is essentially a set of rules and protocols that allows one software application to interact
kristofer / Remove Quarantine Attribute
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Remove the Apple Quarantine
Remove the Apple Quarantine attribute when downloading files that haven't been signed. This is obviously a very bad idea.
xattr -d com.apple.quarantine filename (or directory)
xattr -d com.apple.quarantine *
kristofer / Intro JDBC
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Introduction to Java JDBC for Beginners
What is JDBC?
Java Database Connectivity (JDBC) is a Java API that enables Java applications to interact with relational databases. Think of it as a bridge between your Java code and database systems like MySQL, PostgreSQL, Oracle, and SQL Server. JDBC provides a standard way to query and update data in databases, regardless of which database management system you're using.
For beginners starting their Java journey, JDBC represents a fundamental skill set that opens the door to creating data-driven applications. Whether you're building a simple application that needs to store user information or a complex system that processes large datasets, JDBC gives you the tools to connect your Java code to the database world.
Core Components of JDBC
kristofer / Docker & Data Engineering
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Docker and Docker Compose for Beginner Data Engineers
As a data engineer just starting your journey, understanding containerization technologies like Docker and Docker Compose is becoming increasingly essential. These tools will fundamentally change how you build, deploy, and scale data pipelines and applications. Let me walk you through what they are, why they matter for data engineering, and how to start using them effectively.
What is Docker?
Docker is a platform that allows you to package your application and all its dependencies into a standardized unit called a "container." Think of a container as a lightweight, standalone, executable package that includes everything needed to run your application: code, runtime, system tools, libraries, and settings.