This short post is just a way to get my thoughts down on “paper” about using Hugo to hyper-scale niche websites. I’ve been researching niche websites and their ability to capture niche traffic to generate passive income. Yes, the name of the game is to build up a net monthly passive income of around $10,000. To get to that level of income I need to find a niche topic that will allow me to capture long-tail keyword traffic, then monetize each page, and optimize SEO.

This tutorial will show you how many followers you should expect in the coming days and weeks using the Facebook Prophet (FBProphet) python package. This is a perfect example of what python can be used for. You can use it to forecast your medium followers or sales revenues. It can be any time series related problem, but first you must install FBProphet. Install FBProphet My code is simple, and the FB Prophet documentation is written very well.

Just like what I did with my general H2O-3 Tutorials, I’m starting a seperate H2O Wave Tutorial post for you all here. I will add to this as I go along and build more apps. Stock Chart Generator Wave App This is a simple candlestick chart generator that defaults to JNJ when you load it. All you need to do is add your Alphavantage API key where it says "apikey": "XXXXXXX" } #ENTER YOUR ALPHAVANTAGE KEY HERE

I recently set had to set up H2O’s Wave Server on AWS Lightsail and build a simple Wave App as a Proof of Concept. If you’ve never heard of H2O Wave then your been missing out on a new cool app development framework. We use it at H2O to build AI-based apps and you can too, or use it for all other kinds of interactive applications. It’s like Django or Streamlit, but better and faster to build and deploy.

This tutorial is not about porting Hugo posts to the Ghost format but instead it’s about how I got a custom domain, CDN, and removed the :80 port from a new Ghost install. First off, setting up the machine on AWS Lightsail is pretty easy. It was as simple as selecting the Ghost install and taking the cheapest instance possible. I think the cost is like $3.50 a month, which is pretty sweet IMHO.

This is my ongoing list of Python Tutorials. I’m currently merging my various Python Tutorials into one cohesive list below as a way to reduce the amount of posts all over my site. Thank you for your patience and please feel free to drop me a Tweet if you have any comments or questions. Learning Python Programming the Easy Way I picked up python programming when I needed to do something but couldn't figure out how to connect the dots.

Introduction to Driverless AI I finally posted a new video on my YouTube channel after a year of no activity. It felt good and is part of my ‘content refresh’ project I’m working on. In this video I do an introduction to Driverless AI and its EDA capabilities. The forthcoming videos will go into the training, testing, diagnostics, machine learning interpretability, and much more. Please drop a comment or question in the channel if you have any.

It would appear that making a rolling list of all my old and newer RapidMiner Tutorials would be helpful for readers. It should be noted that these tutorials and videos were made for differnet versions of RapidMiner (version 5 to 7) and may look a bit old and dated BUT they are still relevant to this day. The functionality of RapidMiner is still the same but the internal organization and look will be different.

I’m no stranger to trying different CMS’s to see which one works best in terms of functionality, speed, and ease of SEO use. Over time - and many mistakes later - I’ve found that Hugo is the best for all three of those criteria. It’s very functional, fast to build, and easy to tweak for SEO. When you couple that together with the AWS backbone, you get a fast loading website where all the static builds happen automatically as soon as you update your Github repository.

I made the switch over to Hugo a short while and love the fast builds. You can read all about me ‘crushing’ on it in my [What I Learned using Hugo](/hugo-static-cms/ post. There’s one main thing I want highlight in this post and it’s how to optimize Hugo for SEO. Hugo, just like any other CMS, is pretty good out of the box but you need to optimize it. Here are my Hugo SEO tips for optimization.

I have had some time to continue on my Python Forex Trading Bot (code borrowed from here and tweaked by me) now that we’re all self isolating. This is purely for educational purposes because when I run this sucker, it loses money. Not so much anymore but it’s not profitable. The reason why I say ’educational purposes’ is that coding is not my first choice of career and I teach myself as I go along.

For the last two years I’ve been working with the Twython package to build my (R2D2) Twitter Bot. It’s been successful and I’ve learned how to hack Python better than I ever did before. Now I’m setting my sites on building a Twitter Bot using Groovy Script. Why Groovy Script? Groovy is a lot like Python in the sense that it’s a dynamic programming language. It can be used everywhere, easily, because of the JVM.

Below is an integrated post of my Blot Tutorials. It’s a small list but appears to be useful to some Blot users. Blot.Im is a neat Dropbox/Github to blog static generator which I fancied for a while. I still like it but it’s not as mature as Hugo but it has promise. It definately is easy to drop images into a folder and it creates a blog post from it, so if you like super easy of use, then try out Blot.

Below you’ll find a merged set of posts on my Raspberry Pi Tutorials and fun links I found. The Raspberry Pi is a cheap credit card sized computer that helps kid ‘hack’ and learn computing. It’s a great way to build lots of fun projects too. I hope to add to this list as time goes on but I thought my readers would like to see an updated list from my archives.

I’m in the process of merging and updating old posts with fresh insights and content. I dropped the AI part because what it really means is automation in this sense. Building blog traffic is always about writing great content and observing what Google’s AI does to get you to the top of the search results AI is just an algorithm that’s built on top of the existing data you have. In a sense you fit an algorithm, to the data instead of fitting the data to the algorithm.

The inspiration for my S&P500 Volatility Timing model came from rereading portions of Mandelbrot’s book, The (Mis)Behavior of Markets, and trolling around the Internet for Nassim Taleb’s research work on risk. I think both guys push the envelope on truly understanding unseen risk and those pesky financial asteroids. Since my model is currently being developed, I thought it would be worth my while to truly learn and understand how historical volatility (HV) is calculated.

Today I wanted to share with you a part of the algorithmic back end to my ETF Trend System. Note, I said “part”, I’m not giving away all my secrets. It’s written completely in Excel, incredibly simple, and is a macro that you can import. The system works by using something called linear regression slope. What’s that? The easiest way to understand what linear regression slope is, is to think back to your basic statistics class.