Python mac インストール 






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When you no longer need a particular environment, simply copy your code out of it, and then delete the main directory for the environment. Once you have finished working in the current virtual environment, run deactivate to restore your settings to normal. It also enables you to add this network installation capability to your own Python software with very little work.
This is particularly important for Web development, where each framework and application will have many dependencies. Each new environment automatically includes a copy of pip, so that you can setup the third-party libraries and tools that you want to use in that environment. It also enables you to add this network installation capability to your own Python software with very little work. This is particularly important for Web development, where each framework and application will have many dependencies.
Each new environment automatically includes a copy of pip, so that you can setup the third-party libraries and tools that you want to use in that environment. If you install virtualenv before you begin coding then you can get into the habit of using it to create completely clean Python environments for each project. Put your own code within a subdirectory of the environment, however you wish. When you no longer need a particular environment, simply copy your code out of it, and then delete the main directory for the environment. It also enables you to add this network installation capability to your own Python software with very little work. Your command prompt will change to show the active environment. This is particularly important for Web development, where each framework and application will have many dependencies. Once you add Distribute to your Python system you can download and install any compliant Python software product with a single command. Once you have finished working in the current virtual environment, run deactivate to restore your settings to normal.
【決定版】MacでPythonを使って『機械学習』を学ぶための環境構築 - When you no longer need a particular environment, simply copy your code out of it, and then delete the main directory for the environment.