Getting started with… Python
Here's a collection of resources on how to get started using Python.
Learning from the real world: A hardware hobby project
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.
The unexpected benefits of mentoring others
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.
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.
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…
Using collections to make your SQL access easier and more efficient
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.
What makes a great IT consultant – and how you can become one
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.
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…
Unpacking the user research behind Collectives™
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.
Announcing the launch of Collectives™ on Stack Overflow
We're thrilled to be launching this new product with Google Cloud and Go.
Can InnerSource bring open source practices to closed corporate bureaucracies?
Open source won. Now, the OSS way of working is making inroads into new territories: the corporate engineering department.