animation

Enhanced Animate-on-Scroll

Animate your website's elements with style! This library builds upon the foundation of the popular Animate-on-Scroll (AOS) library but adds an extra layer of flair, customization, and detailed guidance. Check it out here! | GitHub Features 🌈 Rich animations with extended easing functions. 🕰 Adjustable durations, delays, and offsets for precise control. 💡 Enhanced

css

CSS Animations

This is dedicated to my kiddos who do AWESOME web/app design in homeschool computer science! GitHub | CSS | Try it! This mini-app provides an interactive way to preview various CSS animations. Simply select the desired animation and its duration, and witness it in action on an example image. If you

full stack

📔 Dear Diary - a full stack Remix app!

Welcome to Dear Diary, your new favorite online diary application! With a focus on simplicity and beauty, this full-stack app provides an engaging platform for users to pen their thoughts, ideas, and memories. Tailored with a sleek UI, Diary Master isn't just another diary app; it's your daily companion that

web design

50lbs of flare in a 10lb app! (👀)

Contacts Maxx takes the foundational structure from a typical Remix contacts app and elevates it to new heights. This vibrant, feature-rich application not only allows users to keep track of their contacts but also enriches daily life management through a multi-feature dashboard. Users can indulge in daily wisdom quotes, chuckle

react remix

Remix, Stripe, Sanity: E-commerce done right

Build a modern and cutting-edge E-Commerce application using the power of Remix.run, Stripe for payment processing, Sanity.io for content management, and Tailwind.css for a visually appealing user interface. Features Remix.run: Use the capabilities of Remix.run's web framework for fast navigation and efficient data fetching. Stripe:

appdev

🎨 Chakra-UI Component Library

Recently, I decided that in order to multi-task (a favorite pastime of mine), I would create a site as a sort of notebook of my work with Chakra UI and Remix. I found myself wanting to learn so much about both at the same time. So I set off on

app development

🕹️ Enhanced Game Hub App

I have been working very hard on sharpening my React skills so that I can take my data science work to the next level. Here is my new and improved Game Hub app project. It now has a game detail page for every game, complete with summary, screenshots, attributes, and

react

🎯 GameHub App

Here is my most recent project utilizing React, typescript, and Vite. It is a relatively simple but design-savvy game hub application that can sort, search, and explore all the games available from the Rawg API. You can check it out here on Vercel. Video Overview: 0:00/1×Dark

react

🤯 From Python & Pandas to React.js

The chosen image for this piece reflects the only slightly metaphorical dumpster fire that I have been for the last 2 days as I dive oh-so-deeply into React.js with Vite and Typescript.  It is not an altogether horrible experience. In fact, the React part has been enjoyable. But trying

javascript

ChatGPT, teach me how to...EVERYTHING!

ChatGPT is officially my best friend ever for as long as I live.  It is the best teacher I have ever known. All I have to do is tell it what I want to learn, and it gets me started. It helps me along the way, and I am learning

ai

ChatGPT, NLP, & AI: Where is this train headed, and who is steering?

Few people grasp the significance of the unbelievable advances that were made in just days from ChatGPT 3.5 to 4, not to mention everything that came before the beginning of 2023, just 3 short months ago. But for those of us who do have an inkling of a clue,

web scraping

🕸️ Web Scraping with Selenium and Beautiful Soup

This is my first article in a while. There are a couple of reasons for that. First, I have been working VERY hard on a substantial project that I am very excited about and have barely looked up from it to do much else. And secondly, a tree fell on

prophet

🔭 PROPHET: the good & the meh

Prophet, formerly known as fbprophet, is a time series prediction machine learning model that is praised for ease of use, functionality, and performance. I have seen it drastically outperform ARIMA and SARIMAX models, and so I decided to put it to the test with some challenging data.  What I found

APIs

📈 Alpha Vantage API Overview

I spent some time recently working with the Alpha Vantage API for financial data, and while the experience left me slightly underwhelmed, there were still some worthwhile aspects of the API that I feel deserve acknowledgement. The first thing I really appreciate about Alpha Vantage is the people. When I

time series data

🛠️ Custom Jupyter Helper Functions

I live inside Jupyter notebooks for the vast majority of my waking hours. And I love it there. But I have also put in some serious hours toward making my Jupyter home beautiful, happy, and efficient. In this article, I will share with you some of my very favorite custom

time series

💪 XGBoost Time Series Prediction

In the world of time series prediction, often LSTM models, as well as the newer trend toward transformers, are primarily what are thought of as leading edge. But I personally have a great admiration for XGBoost models and the raw power they offer, and there are times when XGBoost can

pytorch

◮ Ethereum Price Prediction with LSTM

The time series aspect of time series data can feel like a bit of a hurdle to jump over, and predicting stock and crypto prices is a whole other time series beast to tame. So in this article, I will walk you through the steps of creating a basic architecture

📈 Yahoo! Finance with Python and Pandas

For data science, Yahoo Finance  is an ideal resource for quick, up-to-the-minute financial data, and it is not just for stocks. There is a wealth of information available through the API, including extensive company data, covering not only traded companies but also currency exchange, cryptocurrency, mutual funds, and treasury yields.

python

↔️ Navigation and Organization: Making Python Do the Work

I love just about anything that is logical, well-organized, and flows.  And I get somewhat (or quite, depending on the level of the offense) frustrated with just about anything that is lazily arranged, illogically planned, or otherwise leaves me feeling like "you had ONE job!"  While I know not everyone

technology

📚 💻 Homeschool, Education, Society, and Technology

This article is a little deviation from my norm, but the sentiments herein apply to the overall drive in all the work that I do. As humans and technology advance, so must our approach to education. We must learn flexibility for productive development and true growth as a species. Flexibility

data analysis

🏅 The Olympics: Deep Data Analysis

This is a comprehensive project on data import, data cleaning, data merging, and statistical analysis, as well as advanced data visualization with Seaborn. The data for this project is incredibly interesting and provocative, covering all of the Olympic medal-winning athletes from the beginning of the Olympics up through recent games.

data analysis

💰 Finance, Stocks, & Index Tracking with Python & Pandas

Think of this as a beginner's DEEP dive into finance, stocks, and index tracking by way of Python and Pandas, meaning that it stays fairly surface level, but it still covers a great deal of material in the process. I will be working with the Dow Jones Index and exhibiting

data analysis

Names and What They Say

An investigation into names, trends, and what they reflectGitHub Gist  |  Interactive Jupyter  | PDF Notebook It has been a while since I becameas enmeshed with a set of data as I did with this one. While a huge part of me repeatedly found places where I could easily call the project

big data

📊 Name Popularity

My most recent project has been centered around the data.gov's API containing all of the names and their counts that represent all babies born and registered at birth in the United States. It is a fascinating body of data. And while most of my work has been on aggregating

SQL

😀 JSON to Pandas to SQL: "The Happy Family"

In the world of big data, it is inefficient to work with individual, large files that contain the entirety of the data we are working with. It can become slow and unmanageable. So it is often more efficient and economical to save the large amounts of data in a long-term,