As of the writing of this tutorial, before match week 30+, I’m ranked #3,919 in the world in Fantasy Premier League Soccer (team: Yin Aubameyang), which equates to the top 0.05% in the world.
It didn’t happen by accident, and it wasn’t all luck.
It’s taken several years of playing…
A modern renaissance is occurring right before our eyes, with pixelated and generative art projects fetching millions of dollars for individual works of digital art. It’s insane, it’s crazy, it’s beautiful, and amazing all at the same time.
One acronym you may or may not have seen bandied about in…
If you’re working with a DataFrame of user-generated string values — maybe from a survey response or other form submission — you understand how common it is for users to leave trailing or leading spaces in their submitted data.
That’s why it’s so important to properly clean your string data.
…
If you have ever analyzed text data in an Excel Spreadsheet or a Google Sheet, you’re familiar with the task of filtering a column of text for a word or phrase.
Pandas’ contains() method gives you this same ability for any column of string values in a Pandas DataFrame.
Follow…
With digital art NFT phenomenons like Cryptopunks selling for millions of dollars, and the NFT boom in full swing, digital artwork is capturing the attention of millions.
Today, we will learn how to take one small step towards participating in this digital gold-rush: digitizing hand-drawn artwork.
In this short tutorial…
I use .loc on a daily basis. It’s like using the filter function on a spreadsheet.
It’s an effortless way to filter down a Pandas Dataframe into a smaller chunk of data.
It typically works like this:
new_df = df.loc[df.column == 'value']Sometimes, you’ll want to filter by a couple…
So I was minding my own business one day when out of the blue — wham! I decided I needed to learn how to scrape YouTube.
I was curious about the popularity of different guests on the popular JRE podcast. Using Joe Rogan’s YouTube views as a proxy for podcast…
Howdy folks. Seems my first FPL API tutorial was a hit, so I’m back with another Python/Pandas Fantasy Premier League API tutorial for you all.
This time, we’ll be creating two different DataFrames: (1) a DataFrame that contains the current season’s gameweek histories for each player and (2) a DataFrame…
Hi, my name is David. And I’m really bad at fantasy soccer.
I used to be pretty good, actually. In 2018/19, I finished #39,804 overall. Then, in 2019/20, I finished #1,144 overall. Pretty good stuff by many standards!
Now, I’m really, really bad. #5,132,692 bad.
If you want to be…
It’s 9am and Brandon’s is texting me again about his latest grab. He’s just made $80, flipping a free item he discovered on Craigslist for cold, hard cash. It’s only 9am, but he’s already made $80, and for only 2 hours of his time.
The day before, he was texting…
