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Edward Hearn Edward Hearn
Updated on March 15, 2023

Is Your Company Sourcing the Wrong Type of Talent?

Tech companies often prefer job candidates with majors in STEM fields in their hiring practices. The day-to-day reality of the workplace, however, suggests they would be better served to focus on a different set of criteria.

Sara A. Metwalli Sara A. Metwalli
Updated on March 15, 2023

5 Ways to Write More Pythonic Code

Coding is an art form. Here’s how to elevate the quality and legibility of your Python code.

Mitchell Telatnik Mitchell Telatnik
Updated on March 15, 2023

Is AI Taking the Human Out of Human Resources?

Companies recognize the benefits of machine learning for their people management teams, but do the costs outweigh the benefits?

Updated on March 15, 2023

Why Go? 8 Engineers Discuss Golang’s Advantages and How They Use It.

Go's clarity and lack of ambiguity around its syntax makes it a favorite with developers.

Peter Grant Peter Grant
Updated on March 15, 2023

Learn the Fundamentals of Control Flow in Python

Your Python scripts have to make decisions and control flow is the key.

Mitchell Telatnik Mitchell Telatnik
Updated on March 15, 2023

Machine Learning for Beginners

Whether you’re brand new to machine learning or have tried (and failed) to get models working in Python, Weka may be the perfect starting point for you.

Stephen Gossett Stephen Gossett
Updated on March 15, 2023

Is VR the Next Frontier in Data Visualization?

Immersive data viz is already going viral. Next step? Conference rooms.

Tammy Xu Tammy Xu
Updated on March 15, 2023

AI Makes Decisions We Don’t Understand. That’s a Problem.

Fixing it won’t be easy, however.

Peter Grant Peter Grant
Updated on March 15, 2023

How to Improve Your Control Flow Coding in Python

Have you perfected the fundamentals of control flow? These tips and tricks will take your Python game to the next level.

Sadrach Pierre Sadrach Pierre
Updated on March 15, 2023

Mastering Machine Learning Explainability in Python

To make the most of machine learning for their clients, data scientists need to be able to explain the likely factors behind a model's predictions. Python offers multiple ways to do just that.