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Conda install package
Conda install package








conda install package

A possible solution is to set up a new environment for you application, that contains the Python version and the packages that are completely compatible with your application. Perhaps one of the packages is no longer compatible with the other parts of your program (due to the so-called breaking changes). But now you’ve tried to run it, and it is not working.

  • You have an application (developed by yourself or by someone else) that once worked beautifully.
  • In this case, you need to set up different so-called environments.Īside from this situation, there are more use cases when having additional environments might come in handy: These applications may need other versions of Python/packages than the ones you have been currently using. Then, most likely, you immerse yourself in this world, and download Python applications from GitHub, Kaggle or other sources. When you start learning Python, it is a good starting point to install the newest Python version with the latest versions of the packages you need or want to play around with. So why exactly do you need Python environments? You might ask: shouldn’t I just install the latest Python version? Why you need multiple Python environments If you’ve opened this article, chances are that you already know what Python is, why it is a great tool, and you even have a Python installed on your computer. Thus, my main motivation for writing this article was to help current and potential Python users to have a better understanding of how to manage such environments.

    conda install package

    I’ve been teaching it for quite some time now, and according to my experience, establishing Python environments is a challenging topic. So back to my question: given that I'm still on Python 2.I have over two decades of professional experience as a developer, I know a wide variety of frameworks and programming languages, and one of my favorites is Python. Tells me that that's a new way to encode the specific build of the package.

    conda install package

    But what do py27_0 and defaults mean? More mind boggling was new appearance of the trailing hex numbers like in py27h7cd2321_0. I understand the meaning of 2.1.0, 3.3.1, and so on-the version numbers. For example, on my installation, conda search pillow gives: pillow 2.1.0 py26_0 defaults But look below-there are several pillow packages version 4.2.1 that has "py27" prefix on it.īackground: I am scratching my head to figure the meaning of "conda search" output. Is there any way to install a specific build+version of a package in Anaconda? Stack Overflow post "anaconda/conda - install a specific package version" shows how to install a specific version of the package.










    Conda install package