After a few frustrating events where I had some python code blow up because of dependencies, I started looking hard a using Groovy going forward. For some simple things, Groovy and Python are very easy. For example if I wanted to read the latest sales from Park.IO and print them out, I could do the following in Python on my Mac. import pandas as pd df = pd.read_csv('https://park.io/orders/export.csv') print (df) If I tried that on my old Raspberry Pi, I’d run into dependency issues w.r.t. to Numpy not compiling correctly. ...

I was looking through Reddit the other day and came across an interesting post in r/Groovy. The group itself has been relatively dead for a while but sprang to life with a question about using Groovy for Data Science. Granted, Python IS eating the world right now for Data Science with R right behind it and Java still hanging out with all the Big Data stuff. I’ve always liked Groovy because it’s very Python like (high level-ish) but compiles down to byte-code during runtime. It’s multithreaded and concurrent. I know that Python attempts to do this and there are many hackish ways to make it as fast as C, but you have to know how to do it. High performance python is an art form beyond the Data Science world IMHO. ...

Right before the New Year I posted an article on Medium titled “Is Passive Investing Going to Kill Us?” It centers around one particular chart where the amount of money flowing into passive investing is staggering. While I’m a big fan of Passive Investing and I’ve been riding its success, I can’t help but wonder if I was just plain lucky. I know that markets love to correct imbalances but the question is when? Perhaps it might be prudent to think of active strategies again. ...

Happy New Year readers! Granted it’s already 10 days into the new year but I’ve been having a well deserved break and easing back into work. Now that 2020 is here I hope to amp up more of what I did last year. Read more books, go to the Dojo/exercise more, and make more adventures with the family. I’m not really into the ’new year resolutions’ because I like to ease into things, not make abrupt cold turkey changes. ...

A GitHub repo on how to check for expired domains with good reputation. This is good for building up good SEO. Domainhunter

One of my favorite beer brewing recipes. Beer Stats Method: All Grain Style: Dunkelweizen Boil Time: 60 min Batch Size: 5.5 gallons (ending kettle volume) Pre Boil Size: 7.5 gallons Pre Boil Gravity: 1.035 (recipe based estimate) Efficiency: 70% (ending kettle) Source: Todd Hop Utilization: 94% Calories: 156 calories (Per 12oz) Carbs: 13.4 g (Per 12oz) Via Brewer’s Friend

A Keras cheat sheet provided by KDNuggets that no longer works. I had to go to the Wayback Machine to find it and update it for you, my lovely readers. Keras Deep Learning Cheat Sheet

The thing about coding is that you’ll never want to do it unless you have to solve something with it. This is why Python has become an indispensable language for all sorts of Data munging. There’s a ton of data generated every day and you can use it for gain (or loss). Over the past month my Python skills have made a big leap forward. This is because I need to manipulate data inside my organization. I’m putting the finishing touches on a BDR (Business Development Rep) Bot that I built to help my AE (Account Exec). We get a ton of leads everyday and this Python script cuts through the noise to the higher quality leads. Why? So we can focus our limited time and effort on the right leads. I managed to whip this up in about two days. It took that long because I had to teach myself Browser Automation, which is in itself is cool. ...

Just updating my past post on autogenerating support and resistance lines for the EURUSD. I’ve updated the charts to use Bokeh, a nicer and interactive set of plots. You can zoom in and see the candles at various price levels. I still need to do more labeling work on the charts as I learn how to use the Bokeh library. The thing that’s hanging me up right now is how to correctly label the horizontal support and resistance lines (aka as Spans in Bokeh) with the actual value. The other thing I need to do is add a legend. Red means resistance and Green means support. ...

Yesterday Morgan Stanley announced a 2% reduction in workforce across the entire organization. It’s citing an “uncertain global environment.” That’s a code word for “recession” if you ask me. The job cuts at the investment bank, the world’s biggest equities trading firm and a leading mergers advisor, will hit technology and operations roles hardest, said the people, who declined to be named. New York-based Morgan Stanley had 60,532 employees as of Sept. 30. via CNBC ...