CODEWITHSUNDEEP
pythonpipupgrade
Aidas Bendoraitis
Aidas Bendoraitis

Reputation: 4003

Strategies for upgrading multiple Python packages

I have a big legacy Django project that I need to upgrade to some newer Django version. The project has about 70 dependencies saved in the requirements.txt file. Some of the packages are dependencies for several other packages. What are the best ways to upgrade the dependencies so, that some of them get freezed to some specific version, for example, Django 1.8, but others would be upgraded to the maximal possible version? Are there any helper tools or pip switches for that? If not, what would be the optimal strategy to do that manually?

(Here I am not questioning the database migrations that I will need to execute at each iteration)

Upvotes: 0

Views: 79

Answers (1)

Matheus Fernandes
Matheus Fernandes

Reputation: 21

Hi you can set in your requirements.txt the version you want like:

Django==1.8

and if you don't, it will get the last one:

Django

to install all depedences in requirements.txt you need to run:

pip install -r requirements.txt

I recommend you use a virtual env to test

Upvotes: 2

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