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About Jaken Herman
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Blog postA neat way to spruce up your GitHub profile is to show your followers and visitors what languages you’ve been working with, and how much coding you’ve been getting done. As you can tell from the screenshot of my GitHub profile, I’ve worked mostly with Python and JavaScript.
Prerequisites to following this post:
A GitHub account A WakaTime account (free, set it up here) A profile README (if you don’t have one, you can create it by following the GitHub docs) To begin, edit your -
Blog postIn this post, we’ll go over how to run your Reddit bot at a certain time interval using GitHub Actions. While you could host your bot on Heroku or some other hosting service, there may not be a need for that if your bot is just a simple reply-bot like ours is. If you aren’t caught up in this series, I’d first recommend you check out my post on creating a Reddit bot with Python and PRAW, then moving on to the post where I show you how to improve your reddit bot with Supabase. If you follow tho
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Blog postIn my (previous post)[“https://www.jakenherman.com/articles/2021-08/reddit-bot-praw”], we created a Reddit bot using Python and PRAW, but there was one issue with it. Let’s look at the code we left off with:
import os import praw reddit = praw.Reddit( username = os.environ.get('REDDIT_USERNAME'), password = os.environ.get('REDDIT_PASSWORD'), client_id = os.environ.get('API_CLIENT'), client_secret = os.environ.get('API_SECRET'), user_agent = "Scooby Searcher Bot" ) for c -
Blog postIn this post, we will be creating a Reddit bot using the Python programming language and the PRAW package, which stands for “Python Reddit API Wrapper”. Our bot will scan the subreddit “/r/cartoons” for comments containing the phrase “Scooby Dooby Doo” (case insensitive), and reply to any comments containing that phrase with “Where are you?”, which will surely plant an earworm in the reader of the comment. There are a few prerequisites before we begin. You will need:
A Reddit Account Pyth -
Blog postI was very surprised to see there was no Visual Studio Code extension to do something as simple as checking scores for top sporting leagues. There did seem to be some for NBA specifically, but no MLB, NHL, or NFL from what I could tell (at the time of writing this).
So, if you want scores from top leagues in your VS Code editor, search for “Scores” in the extension marketplace:
For right now, the extension is extremely basic, does not show any other information regarding state -
Blog postOn Baseball Savant (https://baseballsavant.mlb.com), they have these great visualizations for displaying percentile rankings. Basically, out of the population of MLB athletes, where does a player stand in comparison for a given statistic? In the photograph below, I’ve snipped a few stats (Exit Velocity, xBA, K%, and Sprint Speed). We’re going to replicate this visualization using d3 today. (For the record, this is Daniel Vogelbach (MIL) vs. 2020 season data)
First, I’ll assume you hav -
Blog postR for Data Science: Chapter 1 R for Data Science: Chapter 1 These are my solutions to the Exercises in Chapter 1 of R for Data Science.
First, I need to import the tidyverse:
library('tidyverse') ## -- Attaching packages ----------------------------------------------------------------------------------------------- tidyverse 1.3.0 -- ## v ggplot2 3.3.2 v purrr 0.3.4 ## v tibble 3.0.3 v dplyr 1.0.2 ## v tidyr 1.1.2 v stri -
Blog postThis post assumes you’ve set up VirtualBox & Vagrant. If you have not completed this step, follow the steps outlined in my previous blog post: https://www.jakenherman.com/articles/2020-08/virtualbox-vagrant-setup.
The first thing we’re going to do is open up our terminal and run cd baseball, which is the directory we created in the previous post.
After than, we need to get the .tar.gz that contains the Chadwick software installer and configuration files. To download t -
Blog postSetting up VirtualBox and Vagrant is not only a breeze, but it’s also free. This combo is great for simple projects, much like the project we’re working on in this series (should you choose to finish this full series) - parsing Retrosheet baseball data using Chadwick in order to create useful R data frames for visualization.
Keep in mind throughout this post that your download+setup process may vary slightly, but the main process will remain similar enough to follow.
Step 1: Downl -
Blog postWith no baseball being played so far in 2020, there hasn’t been anything incredibly interesting to analyze or look at besides historical data (in the MLB at least). On June 10th and June 11th, however, we finally got our first bit of new MLB information to play around with - the draft. I’ve taken data from Rounds 1-5 and compiled them into some (hopefully) interesting visuals.
Picks by State Let’s start with a simple question. What state produced the most sought after baseball talent
Titles By Jaken Herman
Beginning Game Development with Amazon Lumberyard: Create 3D Games Using Amazon Lumberyard and Lua
Sep 25, 2019
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