In our previous post we learned how to verify what Python virtual environments were installed on our machine and what Python packages they contained. We also learned how to delete unwanted environments. In this post we are going to learn how to share our virtual environment with others. This is incredibly useful in this day and age of research reproducibility.
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In our first post we learned about Python virtual environments and how to use conda to create and manage them. In our second post, we learned how to install packages that were not directly accessible from the command conda install. Specifically, we learned about conda channels hosted at https://anaconda.org as well as pip, both of which can be used to
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In our previous post we learned about Python virtual environments and how conda makes it easy for us as scientists to use virtual environments and access hundreds of useful packages. Despite the number of packages directly available through conda, not all packages can be downloaded this way. In this post we will learn how to add such packages to our
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I have been coding with Python for several years and I only recently took the time to learn about Python environments. Now that I understand them, I can see why they are so useful, especially in this day and age of large team collaborations, research reproducibility, and sharing data and code when research results are published. The purpose of this
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In the previous posts, we learned how to use python scripts and modules to avoid repeating ourselves when we write programs. This is important. If you subsequently discover an error in your code (i.e. a bug), you have to fix it in only one place. Problems arise when you have to find and fix the same bug in multiple places.
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Raw data are not always pretty. Data can have different patterns, be noisy, and vary from trial to trial. We usually collect data to measure, or more accurately, estimate an effect or phenomenon. At times, it is necessary to fit a mathematical expression to raw data in order to estimate the underlying effect or phenomenon. We can then use this
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