Below you will find pages that utilize the taxonomy term “Python”
FB Prophet Forecasting
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.
Python to the Rescue
I’m evaluating whether or not I should move this blog to another CMS platform so I can start building a community around it like it was before. Right now this blog runs on Hugo and AWS Amplify and it’s freaking awesome. I push new posts to GitHub, AWS pulls the changes and rebuilds the site, and then I can look at make sure it looks fine before I merge into master.
H2O Wave App Tutorials
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
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.
Forex Trading Python Tutorial for Beginners
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.
Groovy over Python?
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.
The Contrarian Case for Getting Active
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?
Downloading SEC.GOV data
I’ve finally found a way to download SEC.GOV data in a consistent and less stressful way. I want to give the University of Notre Dame Software Repository for Accounting and Finance a shout out for their excellent work. Thanks to them I can finally start taming this beast. I’ve struggled for years trying to figure out how to download SEC data. That repository is so wacky that it’s hard to find filings in there.
Auto Support Resistance Lines in Forex
On the heels of my last post, I’ve extended those functions to the EURUSD pair. The data starts from this year 2019 and goes through to yesterday. It’s actually a pretty neat script as it takes data from Onada and then generates the support and resistance lines for that particular pair. The next step would be to create a buy/sell order in the Oanda Practice Account. Once I do that it’s then a matter of writing a trading strategy and testing it in real time.
Functional Programming in Python
I’m spending time trying to understand the differences between writing classes and functions in Python. Which one is better and why? From what I’m gathering, a lot of people are tired of writing classes in general. Classes are used in Object Oriented Programming (OOP) and some python coders hate it because it’s writing too many lines of code when only a few really matter. So programmers like functional programming (FP) in python instead.
Why (most) Twitter Bots Suck
I’m going to be the first to admit that I use Python to send out Tweets to my followers. I have a few scripts that parse RSS feeds and do retweets on an hourly basis. They work fine but they do get ‘gamed’ occasionally. That’s the problem with automation, isn’t it? Getting gamed can cause all kinds of havoc for your brand and reputation, so you have to be careful. Has this happened to me?
Beta Testing an Instagram Hashtag Tool
Continuing the stream of consciousness from my Working with Instgram API, JSONPath, and RapidMiner post, I started beta testing a new and improved Instagram Hashtag Tool. I’ve even opened it up to a few beta testers (ping me if you want to try it). It uses a RapidMiner Server on the backend to watch a Dropbox folder. Once you put a text file into the ‘In’ folder, it triggers a process and spits back a spreadsheet in the ‘Out’ folder.
Hi friends, I would love it if you signed up for my newsletter. I try not to be obtrusive with it and want to genuinely share valuable information with you. This is a Data Science/Machine Learning related newsletter with a few other random topics related to consulting life. At the rate I’m sending out newsletters it might be once or twice a year! So completely non-obtrusive and gentle. If you want to sign up for it, you can do so here or below.
Coding RapidMiner in Python
Back in middle school we learned about log tables. We learned how to look them up in a table, interpolate them, and then use the result in our equations. Later on they allowed us to use calculators, which made our lives easier and faster. Fast forward many years to a Sunday morning this October. I was at my dining table with my laptop open, fooling with Pandas and iPython Notebooks (aka Juypter).