PythonHub
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News & links about Python programming.
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My Python Youtube channel just hit 10,000 subscribers - buildwithpython

https://www.reddit.com/r/Python/comments/di5nw6/my_python_youtube_channel_just_hit_10000/
Why is my validation loss lower than my training loss?

In this tutorial, you will learn the three primary reasons your validation loss may be lower than ...

https://www.pyimagesearch.com/2019/10/14/why-is-my-validation-loss-lower-than-my-training-loss/
A Deep dive into H2O’s AutoML

An overview of Automated Machine Learning and how to achieve it with…

https://towardsdatascience.com/a-deep-dive-into-h2os-automl-4b1fe51d3f3e
Sending Emails in Python — Tutorial with Code Examples

What do you need to send an email with Python? Some basic programming and web knowledge along with ...

https://julien.danjou.info/sending-emails-in-python-tutorial-code-examples/
Introduction to Adversarial Machine Learning

Here we are in 2019, where we keep seeing State-Of-The-Art (from now on SOTA) classifiers getting ...

https://blog.floydhub.com/introduction-to-adversarial-machine-learning/
Does Python Have a Ternary Conditional Operator?

The ternary conditional operator is a short-hand…

https://medium.com/better-programming/does-python-have-a-ternary-conditional-operator-830454c34de7
3 Reasons Why I’m Ditching SSIS for Python

I love SQL Server Integration Services, but it’s time to…

https://towardsdatascience.com/3-reasons-why-im-ditching-ssis-for-python-ee129fa127b5
Mac Python Distribution Post Updated for Catalina and Notarization

I previously wrote a post about shipping a PyGame app to users on
macOS. It’s now substantially ...

https://glyph.twistedmatrix.com/2019/10/catalina-notarize-python.html
Meta-Programming in Python

A short tutorial on decorators and meta-classes

https://medium.com/better-programming/meta-programming-in-python-7fb94c8c7152
How to Setup an Awesome Python Environment for Data Science or Anything Else

Tools and techniques to…

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