Here's a collection of resources on how to get started using Python.
If you think your software experience will let you build a hardware project easily, you might be a bit too ambitious. It's very different from software.
At some point in your career, you may well be advised to seek out a mentor. However, the benefits of being a mentor are often overlooked.
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.
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…
To overcome SQL limitations, many companies introduced programming languages for building applications that interface with SQL databases—for example PL/SQL from Oracle. PL/SQL applications can be inefficient. But you can streamline this interface using data type collections, making PL/SQL applications faster and more efficient.
7N is an international freelance agency that has been connecting the best IT consultants with leading organizations around the world for more than 30 years. Here's the five qualities that make the perfect consultant.
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…
We spent over a hundred hours in 1-on-1 interviews and collected thousands of survey responses to better understand what our community and customers wanted to see in this product. This feedback shaped everything from naming to moderation, and helped us evolve and iterate the concept into what it is today.