code-for-a-living July 5, 2021

Best practices for writing code comments

While there are many resources to help programmers write better code—such as books and static analyzers—there are few for writing better comments. While it's easy to measure the quantity of comments in a program, it's hard to measure the quality, and the two are not necessarily correlated. A bad comment is worse than no comment at all. Here are some rules to help you achieve a happy medium.
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code-for-a-living July 3, 2021

Level Up: Linear Regression in Python – Part 7

In the seventh lesson of the series we’ll discuss some methods for comparing linear regression models. In the process, we’ll learn about the problem of overfitting and investigate some of the pros and cons of various evaluation methods (such as R-squared, adjusted R-squared, log likelihood, AIC, and BIC). We’ll also continue to practice our Python…
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Podcast logo The Stack Overflow Podcast is a weekly conversation about working in software development, learning to code, and the art and culture of computer programming.
code-for-a-living June 26, 2021

Level Up: Linear Regression in Python – Part 6

In the sixth lesson of the series we’ll discuss some methods for data transformation to improve a linear regression model. In the process, we’ll learn to simulate data with known properties, review some of the assumptions of linear regression, and continue to practice our Python skills. Here are some Stack Overflow questions related to the…
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code-for-a-living June 19, 2021

Level Up: Linear Regression in Python – Part 5

In the fifth lesson of the series we’ll learn how to build more flexible linear models by adding interaction and polynomial terms. We’ll fit and inspect our models both mathematically and visually to understand how they work. In the process, we’ll continue to practice our Python skills and discuss some of the merits (and drawbacks)…
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