Documentation, Release 23.3.1.post2+bdcba5dd0 Package system differentiators There are potential benefits for choosing PyPI or conda. PyPI has one global namespace and distributed ownership of that namespace other package and environment management systems through its utility for data science. Conda’s benefits include: • Providing prebuilt packages which avoid the need to deal with compilers or figuring • Implementation – Hook – Packaging using a pyproject.toml file • Conda plugins use cases • Benefits of conda plugins In order to enable customization and extra features that are compatible with and

Documentation, Release 0.0.0.dev0+placeholder Package system differentiators There are potential benefits for choosing PyPI or conda. PyPI has one global namespace and distributed ownership of that namespace other package and environment management systems through its utility for data science. Conda’s benefits include: • Providing prebuilt packages which avoid the need to deal with compilers or figuring • Implementation – Hook – Packaging using a pyproject.toml file • Conda plugins use cases • Benefits of conda plugins In order to enable customization and extra features that are compatible with and

containing the actual files of the environment? Package system differentiators There are potential benefits for choosing PyPI or conda. PyPI has one global namespace and distributed ownership of that namespace other package and environment management systems through its utility for data science. Conda’s benefits include: • Providing prebuilt packages which avoid the need to deal with compilers or figuring • Implementation – Hook – Packaging using a pyproject.toml file • Conda plugins use cases • Benefits of conda plugins In order to enable customization and extra features that are compatible with and

containing the actual files of the environment? Package system differentiators There are potential benefits for choosing PyPI or conda. PyPI has one global namespace and distributed ownership of that namespace other package and environment management systems through its utility for data science. Conda’s benefits include: • Providing prebuilt packages which avoid the need to deal with compilers or figuring • Implementation – Hook – Packaging using a pyproject.toml file • Conda plugins use cases • Benefits of conda plugins In order to enable customization and extra features that are compatible with and

User guide 27 conda, Release 23.10.1.dev3 Package system differentiators There are potential benefits for choosing PyPI or conda. PyPI has one global namespace and distributed ownership of that namespace other package and environment management systems through its utility for data science. Conda’s benefits include: • Providing prebuilt packages which avoid the need to deal with compilers or figuring language support (e.g., C, Rust) • Experimental features that are not currently covered by conda Benefits of conda plugins A conda plugin ecosystem enables contributors across the conda community to develop

User guide 27 conda, Release 23.11.1.dev1 Package system differentiators There are potential benefits for choosing PyPI or conda. PyPI has one global namespace and distributed ownership of that namespace other package and environment management systems through its utility for data science. Conda’s benefits include: • Providing prebuilt packages which avoid the need to deal with compilers or figuring language support (e.g., C, Rust) • Experimental features that are not currently covered by conda Benefits of conda plugins A conda plugin ecosystem enables contributors across the conda community to develop

path to a subdirectory of your project directory when creating an environment has the following benefits: • It makes it easy to tell if your project uses an isolated environment by including the environment conda environment. 38 Chapter 4. Contributors welcome conda, Release 24.1.2.dev2 To gain the benefits of conda integration, be sure to install pip inside the currently active conda environment and then User guide 89 conda, Release 24.1.2.dev2 Package system differentiators There are potential benefits for choosing PyPI or conda. PyPI has one global namespace and distributed ownership of that namespace

path to a subdirectory of your project directory when creating an environment has the following benefits: • It makes it easy to tell if your project uses an isolated environment by including the environment conda environment. 38 Chapter 4. Contributors welcome conda, Release 24.3.1.dev2 To gain the benefits of conda integration, be sure to install pip inside the currently active conda environment and then User guide 89 conda, Release 24.3.1.dev2 Package system differentiators There are potential benefits for choosing PyPI or conda. PyPI has one global namespace and distributed ownership of that namespace

path to a subdirectory of your project directory when creating an environment has the following benefits: • It makes it easy to tell if your project uses an isolated environment by including the environment conda environment. 38 Chapter 4. Contributors welcome conda, Release 24.3.1.dev7 To gain the benefits of conda integration, be sure to install pip inside the currently active conda environment and then User guide 89 conda, Release 24.3.1.dev7 Package system differentiators There are potential benefits for choosing PyPI or conda. PyPI has one global namespace and distributed ownership of that namespace

path to a subdirectory of your project directory when creating an environment has the following benefits: • It makes it easy to tell if your project uses an isolated environment by including the environment conda environment. 38 Chapter 4. Contributors welcome conda, Release 24.5.1.dev1 To gain the benefits of conda integration, be sure to install pip inside the currently active conda environment and then Contributors welcome conda, Release 24.5.1.dev1 Package system differentiators There are potential benefits for choosing PyPI or conda. PyPI has one global namespace and distributed ownership of that namespace