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If you work in shell/terminal often enough, then over time the history will become your personal knowledge vault, documentation and command reference. Being able to use this personal documentation efficiently can hugely boost your productivity. So, here are a couple of tips on how to optimize your shell history configuration and usage to get the most out of it. Configuration I use ZSH and Oh My Zs
All of us - software engineers - use git every day, however most people only ever touch the most basic of commands, such as add, commit, push or pull, like it's still 2005. Git however, introduced many features since then, and using them can make your life so much easier, so let's explore some of the recently added, modern git commands, that you should know about. Switch New since 2019, or more pr
In the ancient times of containers (really more like 4 years ago) Docker was the only player in the container game. That's not the case anymore though and Docker is not the only, but rather just another container engine on the landscape. Docker allows us to build, run, pull, push or inspect container images, but for each of these tasks there are other alternative tools, which might just do better
Even if you write clear and readable code, even if you cover your code with tests, even if you are very experienced developer, weird bugs will inevitably appear and you will need to debug them in some way. Lots of people resort to just using bunch of print statements to see what's happening in their code. This approach is far from ideal and there are much better ways to find out what's wrong with
As your project grows, it might get to the point that it becomes too hard to handle with just single VM or some simple SaaS solution. You can solve that by switching to more robust solution like Kubernetes. That might however, be little too complex if you are not familiar with it's concepts or if just never used it before. So, to help you out - in this article - we will go over all you need to get
Python haters always say, that one of reasons they don't want to use it, is that it's slow. Well, whether specific program - regardless of programming language used - is fast or slow is very much dependant on developer who wrote it and their skill and ability to write optimized and fast programs. So, let's prove some people wrong and let's see how we can improve performance of our Python programs
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