Matt Dancho (Business Science) Profile picture
Apr 20 25 tweets 7 min read Twitter logo Read on Twitter
BIG NEWS: #ChatGPT breaks #Python vs #R Barriers in Data Science!

Data science teams everywhere rejoice.

A mind-blowing thread (with a FULL chatgpt prompt walkthrough). 🧵

#datascience #rstats
It's NOT R VS Python ANYMORE!

This is 1 example of how ChatGPT can speed up data science & GET R & PYTHON people working together.

(it blew my mind)
This example combines #R, #Python, and #Docker.

I created this example in under 10 minutes from start to finish.
I’m an R guy.

And I prefer doing my business research & analysis in R.

It's awesome. It has:

1. Tidyverse - data wrangling + visualization
2. Tidymodels - Machine Learning
3. Shiny - Apps
But the rest of my team prefers Python.

And they don't like R... it's just weird to them.

So I wanted to see if I could show them how we could work together...
Let’s start with a prompt.

I asked chatgpt to find a data set that I used for this example. Image
...ChatGPT found it... Image
... And gave me this code to read the data... Image
I prefer the tidyverse, so I asked Chatgpt to update the code. Image
That looks better. Image
With the data in hand, it’s time for some Data Science.

I asked this simple question. Image
ChatGPT's response was impressive. Image
But, even though I’m an R guy, my team uses Python for Deployment…

In the past, that’s a huge problem.

(resulting in days of translations from R to Python with Google and StackOverflow)
But now, that’s 1 minute of effort with chatGPT.

Can I show you?
I asked chatgpt to convert the R script to python... Image
And in 10 seconds chatgpt made this python code with pandas and scikit learn. Image
ChatGPT did in 10 seconds something that would have taken me 2 hours.

But let’s continue.

The reason we had to convert to Python is for “deployment”

Deployment is just a fancy word for allowing others to access my model so they can use it on-demand.
So I asked chatGPT this: Image
And ChatGPT made me a Python API using FastAPI. Image
But this code is useless…

… Without a docker environment.

So I asked chatGPT to make one: Image
And chatGPT delivered my Docker Environment's Dockerfile: Image
So in under 10 minutes, I had ChatGPT:

1. Make my research script in R.

2. Create my production script in Python for my Team

3. And create the API + Docker File to deploy it.
But when I showed my Python team, instead of excited...

...They were worried.

And I said, "Listen. There's nothing to be afraid of."

"ChatGPT is a productivity enhancer."

They didn't believe me.
My Conclusion:

You have a choice. You can rule AI.

Or, you can let AI rule you.

What do you think the better choice is?
If you want help, I'd like you to join me on a free #ChatGPT for #DataScientists Workshop on April 26th. And I will help you Rule AI.

What's the next step?

👉Register Here: us02web.zoom.us/webinar/regist… Image

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More from @mdancho84

Apr 18
If you're struggling to become a data scientist...

There's a 95% chance you are doing it wrong.

Master these 5 things to escape career boredom (and make 6-figures).🧵

#datascience #career Image
Would you believe me if I told you it took me 5 years to become a data scientist?

I've written 10+ R packages that have amassed 2.5 million downloads.

I've consulted for S&P Global, MRM McCann, and 3 more Fortune 500 companies.
But I made 5 critical mistakes that I want to teach you how to fix.

1. I was too focused on #DataScience

2. I couldn't relate it to the business

3. I struggled to communicate the value
Read 10 tweets
Apr 14
Attention Data Scientists:

ChatGPT made this web app for me (and I want to show you exactly how).

But read this first. 🧵

#datascience #chatgpt #rstats #python Image
ChatGPT is a game changer.

I've 10Xed my productivity on certain data science tasks.

But 99% of data scientists will struggle using ChatGPT (I did, and you will too).
I made 9 critical mistakes when I made my first web application.

And this caused me HOURS of REWORK.

And it killed my 1st impression of Chatgpt.

But, I have good news...
Read 9 tweets
Apr 14
Every data scientist I know lacks some skills (me included).

But, a change in your focus can take you from no job to $145K+.

Let me explain.

#datascience #career Image
The learning path for a data scientist is full of traps.

It goes something like this:
- Python (or R)
- Algorithms
- Math
- Stats
- Make a Portfolio
- Get some projects under your belt
- More math
- Neural networks
- Deep learning part 2
- More projects (now with cats & dogs)
...And it's a mess.

No wonder why you are struggling.

And it turns out that in this economy, it's even become a lot harder with the "traditional" approach.

Why?
Read 9 tweets
Apr 12
The time of bloated data science teams has come to an end.

And, there is a massive shift that's going on right now... 🧵

#datascience #career Image
Bulky data science teams are getting "restructured" as businesses demand more value from their investments.

They don't want 10+ number crunchers.

Especially if it takes 15 months to **maybe** get a project into production.
What they want is business value-

Results that drive revenue & growth.

And starting the year $1M+ in the hole with a bulky data science team isn't the answer.

In their place, a new breed of data scientist is forming.
Read 9 tweets
Apr 5
ChatGPT for data scientists...

I have good news and bad news. 🧵

#datascience #rstats #chatgpt Image
The Good News:

Everyone is super excited for the ChatGPT Data Science Workflow + Shiny App that I'm going to present today.

It's basically the cheat code to stuffing your portfolio with projects.
The Bad News:

I have 4,414 registered (when I took this photo).

Why is that bad?

I have a strict 1,000 person limit on my zoom subscription.

So I have a recommendation...
Read 4 tweets
Apr 5
What is one of the most exciting areas of chatgpt use in data science?

I’m most excited about web apps.

Here’s why. 🧵

#datascience #ChatGPT #rstats Image
It’s no secret.

Most data scientists don’t know HTML, JavaScript or CSS.

This is why I’m a huge fanboy for #R #Shiny
When Shiny came out 11 years ago, it was a game changer.

Data scientists could now put their algorithms inside of an app.

And Business People could use it!
Read 10 tweets

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