Airbyte open source ELT tool

 https://airbyte.com/

 Plus SaaS version with free tier

15 YouTube Channels to Learn Data Science for Free

 https://dev.to/theinsightfulcoder/15-youtube-channels-to-learn-data-science-for-free-487b

A surprising number of single-creator channels here. 

The New Data Engineering Stack

 https://towardsdatascience.com/the-new-data-engineering-stack-78939850bb30

The current tools of the trade for data engineering. 

4 Types of Comprehensions In Python

 https://towardsdatascience.com/4-types-of-comprehensions-in-python-2fbeafdf2fda

Yeah, don't think I'd seen that last one

Statistical modeling with “Pomegranate” —fast and intuitive

 https://towardsdatascience.com/statistical-modeling-with-pomegranate-fast-and-intuitive-4d605d9c33a9

Better stats than numpy. 

Supercharge your ‍Jupyter workflow An open source tool for creating data science pipelines. Get started

 https://www.orchest.io/

Still early, but shows promise. Visual pipeline building tool. 

3 Insane Secret Weapons for Python

https://towardsdatascience.com/the-3-secret-weapons-that-changed-my-python-editor-forever-c99f7b2e0084
Some real power tools here. 

An Introduction to Simpson’s Paradox

https://towardsdatascience.com/simpsons-paradox-d2f4d8f08d42
Why averages can be deceiving.

How to Setup an Awesome Python Environment for Data Science or Anything Else

https://towardsdatascience.com/how-to-setup-an-awesome-python-environment-for-data-science-or-anything-else-35d358cc95d5
a different way from pipl

Statistical Modeling with Python: How-to & Top Libraries

https://medium.com/kitepython/statistical-modeling-with-python-how-to-top-libraries-44f6c8cc7ece
The usual suspects and a couple of others. 

Open-Sourcing Metaflow, a Human-Centric Framework for Data Science

https://medium.com/netflix-techblog/open-sourcing-metaflow-a-human-centric-framework-for-data-science-fa72e04a5d9
We'll see if they get an ecosystem around it.

10 Great Articles On Data Science And Programming!

https://dev.to/seattledataguy/10-great-articles-on-data-science-and-programming-1d95
some off-the-beaten-path articles

Minimal Pandas Subset for Data Scientists

https://towardsdatascience.com/minimal-pandas-subset-for-data-scientists-6355059629ae
the parts of pandas you really need

The Complete Guide to Time Series Analysis and Forecasting

https://towardsdatascience.com/the-complete-guide-to-time-series-analysis-and-forecasting-70d476bfe775
correlation and seasonality, etc. 

Data Scientists, The 5 Graph Algorithms that you should know

https://towardsdatascience.com/data-scientists-the-five-graph-algorithms-that-you-should-know-30f454fa5513
Connect the dots

JupyterLab — A Next Gen Python Data Science IDE

https://towardsdatascience.com/jupyterlab-a-next-gen-python-data-science-ide-562d216b023d
You all know Jupyter notebooks, now comes Jyputer labs

Python Pro Tip: Start using Python defaultdict and Counter in place of dictionary

https://towardsdatascience.com/python-pro-tip-start-using-python-defaultdict-and-counter-in-place-of-dictionary-d1922513f747
I've learned something new: counter.

Basic Statistics Every Data Scientist Should Know

https://medium.com/better-programming/statistics-review-for-data-scientists-and-management-df8f94760221
a list of basic statistics concepts. 

The Most in Demand Skills for Data Scientists

https://towardsdatascience.com/the-most-in-demand-skills-for-data-scientists-4a4a8db896db
Surprised that R still ranks highly.

How I Passed the Google Cloud Professional Data Engineer Certification Exam

https://towardsdatascience.com/passing-the-google-cloud-professional-data-engineer-certification-87da9908b333
Two and a half good resources.