To all the young programmers worrying about the uncertain job market, I promise things will get better.
Games and gaming offer a useful analogy for real life. By closely examining the way AI plays games, we can learn some valuable lessons.
Data often reflects the biases that pervade the larger world. To make machine learning processes more equitable, we need to employ a variety of methods to eliminate bias.
Code review is important, but it can be time- and labor-intensive. Fortunately, a few simple steps can streamline the process nicely.
Trying and failing to decipher your own codebase? Remember: Good code is its own best documentation.
Here are a few important caveats to keep in mind when you’re encoding data with pandas.get_dummies().
Here’s how to heat up your heat maps and make sure they stand out.
Read data directly from the clipboard without saving it first. Here’s how.
Here’s an overview of some commonly used Python libraries that provide an easy and intuitive way to transform images.
Agile won’t produce great software on its own. For that, you need great management of engineers and product designers.
