- #Conda install package for specific version of python update#
- #Conda install package for specific version of python Patch#
- #Conda install package for specific version of python full#
- #Conda install package for specific version of python software#
- #Conda install package for specific version of python code#
I have released a slightly modified version of them, called ownconda tools, To aid our work with GitLab and Conda, we developed some supplementary tools. Projects like conda-forge weren’t even in sight. Thisĭates back to at least to Conda v2.1 which was released in 2013. And maybe we would have had similar problems, too,īecause we need to package more than just Python, we chose to use Conda. However, the devs are very friendly and usually fixĬritical bugs quite fast.
#Conda install package for specific version of python Patch#
Past, even patch releases introduced backwards incompatible changes and bugs
#Conda install package for specific version of python full#
However, if you want full control over your own packages Little effort you can create a self-extracting Python distribution withĪ selection of custom packages (similar to the Miniconda distribution).Ĭonda-forge is a (relatively) new project that has a huge library of Conda This is a bit more involved because you have to convert every package that youįind on PyPI, but it also lets you patch and extend every package. Instead, you have to createĪ Conda recipe for every package and build it with conda-build. Conda is not directly compatible with Python’s Like virtualenv, Conda can create isolated In contrast to Pip, Conda is a full-fledged package manager similar toĪpt or dnf. Packaging Authority working group ( PyPA).Ĭonda stems from the scientific community and is being developed by Anaconda. The Python packaging ecosystem is overlooked by the Python Devpi can both, mirror/cache PyPI and store your own packages. Isolate different projects from another, and Devpi to host your own package The current environment’s site-packages directory and can optionallyĬreate entry points in its bin directory. Source distributions and (binary) Wheel packages. Pip is the official package installer for Python. GitLab has a free core and some paid versions that add more features and support.
#Conda install package for specific version of python software#
One of the few pieces of software that I actually enjoy using. And-more importantly-it also has a really nice UX and is
LDAP and Kerberos support, issue labels and boards, Mattermost integration or It hasĪ lot more features that are very useful for an organization wide use, e.g., The only tool that (currently) meets these requirements is GitLab. Gitbucket or Kallithea-just to name a few. There are plenty of competitors in this field: GitLab, Gitea, Gogs, In some countries it may even be forbidden to use a US cloud Services, you should probably use a self-hosted service to retain full control Though you could use private repositories from one of the well-known cloud In this section I’ll briefly explain the reasons why we are using GitLab and Conda.
#Conda install package for specific version of python update#
I will not necessarily update and fix the code, but it is released under theīlue Oak license so you can copy and use it. In order to make a clear distinction between our own and third-party code. These tools and examples are using the own prefix
#Conda install package for specific version of python code#
You can find all code and examples referenced in this article under In this article, I describe how we solve this problem with GitLab, Conda and a few other tools. Store and manage your code? How do you distribute your packages? Only focus on publishing (open source) code to PyPI.īut what do you do when your organization uses Python for in-house developmentĪnd you can’t (or don’t want to) make everything Open Source? Where do you Python Packaging has recently been discussed a lot, but the articles usually