I announced months ago that one of my video courses, Unpacking NumPy and Pandas, was going to be turned into a book. Today I’m pleased to announce that this book is available!
data science
Learn Foundations of Python Natural Language Processing and Computer Vision with my Video Course: Applications of Statistical Learning with Python
I’m pleased to announce my fourth and final video course. The course has already been out for a couple months by now, but that doesn’t mean it’s too late for me to write about it!
Unpacking NumPy and Pandas: The Book Is Coming Soon!
I have heard from my publisher, Packt Publishing, that my video course Unpacking NumPy and Pandas will become a book!
Learn Basic Python and scikit-learn Machine Learning Hands-On with My Course: Training Your Systems with Python Statistical Modelling
This post is actually months late, but like with my last video course announcement, it’s better late than never. And besides, of my video courses, I had the most fun writing this one.
Start Getting and Working with Data with “Data Acquisition and Manipulation with Python”
This news is a few weeks late, but better late than never!
Get Started Learning Python for Data Science with “Unpacking NumPy and Pandas”
I have exciting news!
Data or Die
In the 2016 election, few spectators realized Donald Trump’s data advantage until after he’d won.
On Programming Languages; Why My Dad Went From Programming to Driving a Bus
In Data Science from Scratch, a book introducing data science using Python, Joel Grus said the following about R (pg. 302):
Although you can totally get away with not learning R, a lot of data scientists and data science projects use it, so it’s worth getting familiar with it.
In part, this is so that you can understand people’s R-based blog posts and examples and code; in part, this is to help you better appreciate the (comparatively) clean elegance of Python; and in part, this is to help you be a more informed participant in the never-ending “R versus Python” flamewars.