2/16/2024 0 Comments Downloading Imagine 1.3.0![]() Let’s look at three different scenarios of package versioning for this project: ![]() However, we introduced new functionality that used python-dateutil=2.8.1, and this turned out to be a huge issue that we weren’t able to catch until it was too late. If our second requirement specified python-dateutil =1.3.0, which had a dependency on python-dateutil>=2.7.3. Once it finishes with the pandas package, it moves on to the next requirement, python-dateutil, and repeats this process. It will then install the packages that pandas relies on, including numpy>=1.18 and python-dateutil>=2.8.1, install the newest compatible version of these, and so on. ![]() Imagine you’re working with project A, which relies on package B versions >=1.0.0 and package C versions =1.3.0ĭuring pip installation, pip will install the newest compatible version of pandas, which is 1.4.3 as of writing.
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