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Small Programming Tricks

In the world of programming, it's often the small details that make a significant difference in productivity. These nuggets of knowledge, such as being cognizant of a language feature, understanding the implications of certain network settings, or employing a clever command, can greatly enhance one's efficiency. This concept is not only self-evident but also crucial.

Each piece of knowledge is built upon smaller components. The importance of these smaller pieces should not be underestimated, but some knowledge nuggets stand out for their value. For instance, knowing that Python's `python3 -m http.server` command can swiftly establish a basic server in a directory might streamline work processes.

In the following sections, I will share a few examples of such small but impactful knowledge nuggets. You may already be familiar with all of these, or you might encounter them in a different domain where they prove to be useless. However, even if these specific tricks do not benefit you, it's likely that you possess a collection of personal tricks that simplify your work.

On a company level, the emphasis on such high-leverage nuggets becomes even more pronounced. At a previous company, I initiated the practice of sharing such tips daily with the engineering team via Slack, encompassing both technical and company-specific information. The colleagues found these nuggets beneficial. Even if you've only mastered nine out of ten of these tricks, the remaining one could potentially save considerable time.

To prevent overwhelming the audience with too much information, sharing just one trick per day proved to be an effective approach. Occasionally, this routine could even stimulate insightful discussions.

If you are a more experienced engineer within your company, you might consider adopting a similar practice. Julia Evans, a proficient writer in this field, effectively exemplifies the essence of this post through her engaging and approachable content.

Written by urgent.news from Lobsters's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

Read the original at will-keleher.com →

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