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#data-science #infrastructure
If you look back on the history of computing, most society-wide shifts have happened not when impossible things have become possible but when possible things have become easy. Bridging the gap between possible and easy requires effective infrastructure, which is the topic of this book
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Flashcard 7584613797132

Question
Recommendations for Avoiding Dependency Conflicts with Conda

There are two simple rules to follow:

  1. Always create a new environment for [...]
  2. Install all the packages that you need in the new environment at the same time
Answer
each project

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Recommendations for Avoiding Dependency Conflicts with Conda There are two simple rules to follow: Always create a new environment for each project Install all the packages that you need in the new environment at the same time

Original toplevel document

How to Manage Python Dependencies with Conda - ActiveState
rmine the Current Environment with Conda The current or active environment is shown in parentheses () or brackets [] at the beginning of the Anaconda Prompt or terminal: (<current_env>) $ <span>Recommendations for Avoiding Dependency Conflicts with Conda There are two simple rules to follow: Always create a new environment for each project Install all the packages that you need in the new environment at the same time. Installing packages one at a time can lead to dependency conflicts. To create an environment with a specific version of Python and multiple packages including a package with a specific version: $ conda create -n <env_name> python=<version#> <packagename> <packagename> <packagename>=<version#> Alternatively, you can use conda to install all the packages in a requirements.txt file. You can save a requirements.txt file from an existing environment, or manually create a new requirements.txt for a different environment. To create a conda requirements.txt file from an existing environment: Activate your project environment. See section above entitled “How to Activate an Environment with Conda” for detai