Python For The Lab is a collection of resources to help you start using Python
for developing solutions in your lab.
From analyzing data collected with your experiments to writing software to control your setup.
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Importing is not only a matter of using external libraries, but it also allows you to keep your code clean and organized. In this tutorial, we are going to discuss from the very basics of importing to complex topics such as lazy loading of modules in your packages. You are …read more
When working with threads in Python, you will find very useful to be able to share data between different tasks. One of the advantages of threads in Python is that they share the same memory space, and thus exchanging information is relatively easy. However, some structures can help you achieve …read more
If you have developed code for long enough, probably you have faced the situation in which a task takes longer to complete and in the meantime, your program can't perform any other task. Most likely you can't even politely cancel what the program is doing, you will have to resort …read more
Monkey patching is a technique that allows you to alter the behavior of objects at runtime. Even though it can be a very useful feature, it can also make your code much harder to understand and debug, and therefore you have to be careful with how you implement monkey patching …read more