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Weekly Selection – August 30, 2019

What's the difference between analytics and statistics?

By Cassie Kozyrkov – 6 min read

Understanding the value of two completely different professions


Everything a Data Scientist Should Know About Data Management*

By Phoebe Wong – 19 min read

(*But Was Afraid to Ask)


How To Make Your Pandas Loop 71803 Times Faster

By Benedikt Droste – 5 min read

Looping through Pandas DataFrames can be very slow – I will show you some very fast options


Choosing the right algorithm for your real-world problem 🎧

By Jeremie Harris, Edouard Harris and Russell Pollari.

Tan Vachiramon on the TDS podcast


What is the difference between Optimization and Deep Learning and why should you care

By Dima Shulga – 4 min read

The most common way to train a neural network today is by using gradient descent or one of its variants like Adam.


Which Programming Language Should Data Scientists Learn First?

By Genevieve Hayes – 6 min read

R, Python, SQL or something else?


Automatic Version Control for Data Scientists

By George Seif – 6 min read

One of the best parts about Data Science is the adventure of going through a full project, end-to-end.


How to create a production-ready Recommender System

By Tirmidzi Faizal Aflahi – 16 min read

We saw many things every day on the internet. But do you know how many other things are not seen yet by us?


Programming Languages of the Future

By Michael K. Spencer – 5 min read

What are the up-and-coming coding languages?


How to build a simple time series dashboard in Python with Panel, Altair and a Jupyter Notebook

By Benjamin Cooley – 6 min read

Two filters + one interactive area chart in roughly 25 lines of code.


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