Blog
A Practical Guide to HTMX with Python's Air Framework
Learn how to build modern, dynamic web applications using HTMX with Python's Air framework through practical examples.
Late Chunking: The Better Way to Embed Document Chunks
Solving the lost context problem in document retrieval with the embed-then-chunk approach
Building Dynamic Web UIs with FastHTML and HTMX
A simpler approach to creating interactive web applications using Python and hypermedia
Perl Command-Line Magic
Mastering text processing in the CLI : the -p -i -n -e -l -a -0 -w -s options
FastHTML Applications 1
Learn to build web applications with FastHTML using Python
DNS 101
A Practical Guide of key information needed to know about DNS to host web apps
Building a Search Evaluation App with FastHTML and MonsterUI
Create a professional web application to evaluate search algorithms without writing CSS or JavaScript
Retrieval 101
A practical guide to implementing semantic search for technical content
Creating Custom FastHTML Tags for Markdown Rendering
Step by step tutorial to rendering markdown in FastHTML using zero-md
MeanShift From Scratch
A deep dive on meanshift clustering with the full algorithm implemented from scratch using pytorch
Python Programming Tips
A list of handy tips and tricks when programming in python
K-Means From Scratch
A deep dive on K-Means where smart initialization and the full algorithm is implemented from scratch using pytorch
Introduction To Statistical Testing
An introduction to Statistical Testing applied to Stock Trading
Simple Time Series (Stock Prices)
An introduction to basic time series for stock prediction
Python Concurrency
Easy python poncurrency and parallel processing for Data Science
CycleGAN Walk Through
A walkthrough of key components to a pytorch CycleGAN implementation.
StyleGAN Components
Showing the key components to StyleGAN and how & why they work
Plant Pathology Kaggle
Creating a top 10 leaderboard submission for the Plant Pathology Image Classification Kaggle Competition
Neural Networks and XOR
How does a neural network transform non-linear data to solve complex problems. Fitting a neural Network to the XOR function.
Pseudo Labeling for Data Cleaning
Pseudo labeling for noise reduction and data creation in MNIST
Partial Dependence Plotting
UA guide for showing the benefits and technique to Partial Dependence Plotting
Neural Network Foundations (Part 2)
MNIST multi-class classification from scratch with deep Learning
Neural Network Foundations (Part 1)
MNIST 3/7 classification from scratch with deep Learning
Gradient Descent for Linear Regression - Part 2
Unders the hood of gradient descent for model optimization
Applied LLMs Topic Overview
A brief summary of the different topics that go into developing a good LLM based solution
Gradient Descent for Linear Regression - Part 1B
Unders the hood of gradient descent for model optimization
Gradient Descent for Linear Regression - Part 1
Unders the hood of gradient descent for model optimization
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