Python

Applied Python Chronicles: A Gentle Intro to Pydantic

What about default values and argument extractions?from pydantic import validate_call@validate_call(validate_return=True)def add(*args: int, a: int, b: int = 4) -> int:return str(sum(args) + a + b)# ----add(4,3,4)> ValidationError: 1 validation error for addaMissing required keyword...

Full Guide to Constructing a Skilled Portfolio with Python, Markdown, Git, and GitHub Pages

In 2023, I’d been coding for data projects for two years and was trying to create my first portfolio to present my data science projects. I discovered the Matt Chapman’s TDS article and the...

3D Reconstruction Tutorial with Python and Meshroom

3D ReconstructionQuickly learn to create 3D models from photos, and master point cloud generation with Python + Meshroom (photogrammetry).You will have heard of image-based 3D reconstruction from previous articles I wrote. This can be...

How Text-to-3D AI Generation Works: Meta 3D Gen, OpenAI Shap-E and more

The power to generate 3D digital assets from text prompts represents one of the exciting recent developments in AI and computer graphics. Because the 3D digital asset market is projected to grow from $28.3...

Python + Google Earth Engine

# 1. Project SetupInitially, we want to load libraries. Be certain that all of them are properly installed. Also, I'm using Python 3.12.3.## 1.1 Load libraries# If it's essential install any library, run below:#...

Leveraging Python Pint Units Handler Package — Part 2

Create your customized unit registry for physical quantities in PythonReal-world systems, like the provision chain, often involve working with physical quantities, like mass and energy. You haven't got to be knowledgeable scientist or engineer...

Full Guide on LLM Synthetic Data Generation

Large Language Models (LLMs) are powerful tools not only for generating human-like text, but in addition for creating high-quality synthetic data. This capability is changing how we approach AI development, particularly in scenarios where...

Code Embedding: A Comprehensive Guide

Code embeddings are a transformative solution to represent code snippets as dense vectors in a continuous space. These embeddings capture the semantic and functional relationships between code snippets, enabling powerful applications in AI-assisted programming....

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