conda command is the primary interface for managing installations of various packages. It can: • Query and search the Anaconda package index and current Anaconda installation. • Create new conda environments differentiators There are potential benefits for choosing PyPI or conda. PyPI has one global namespace and distributed ownership of that namespace. Because of this, it is easier within PyPI to have single sources for for a package directly from package maintainers. Conda has unlimited namespaces (channels) and distributed ownership of a given channel. As such, it is easier to ensure binary compatibility within a channel

conda command is the primary interface for managing installations of various packages. It can: • Query and search the Anaconda package index and current Anaconda installation. • Create new conda environments differentiators There are potential benefits for choosing PyPI or conda. PyPI has one global namespace and distributed ownership of that namespace. Because of this, it is easier within PyPI to have single sources for for a package directly from package maintainers. Conda has unlimited namespaces (channels) and distributed ownership of a given channel. As such, it is easier to ensure binary compatibility within a channel

conda command is the primary interface for managing installations of various packages. It can: • Query and search the Anaconda package index and current Anaconda installation. • Create new conda environments differentiators There are potential benefits for choosing PyPI or conda. PyPI has one global namespace and distributed ownership of that namespace. Because of this, it is easier within PyPI to have single sources for for a package directly from package maintainers. Conda has unlimited namespaces (channels) and distributed ownership of a given channel. As such, it is easier to ensure binary compatibility within a channel

conda command is the primary interface for managing installations of various packages. It can: • Query and search the Anaconda package index and current Anaconda installation. • Create new conda environments differentiators There are potential benefits for choosing PyPI or conda. PyPI has one global namespace and distributed ownership of that namespace. Because of this, it is easier within PyPI to have single sources for for a package directly from package maintainers. Conda has unlimited namespaces (channels) and distributed ownership of a given channel. As such, it is easier to ensure binary compatibility within a channel

conda command is the primary interface for managing installations of various packages. It can: • Query and search the Anaconda package index and current Anaconda installation. • Create new conda environments differentiators There are potential benefits for choosing PyPI or conda. PyPI has one global namespace and distributed ownership of that namespace. Because of this, it is easier within PyPI to have single sources for for a package directly from package maintainers. Conda has unlimited namespaces (channels) and distributed ownership of a given channel. As such, it is easier to ensure binary compatibility within a channel

conda command is the primary interface for managing installations of various packages. It can: • Query and search the Anaconda package index and current Anaconda installation. • Create new conda environments differentiators There are potential benefits for choosing PyPI or conda. PyPI has one global namespace and distributed ownership of that namespace. Because of this, it is easier within PyPI to have single sources for for a package directly from package maintainers. Conda has unlimited namespaces (channels) and distributed ownership of a given channel. As such, it is easier to ensure binary compatibility within a channel

conda command is the primary interface for managing installations of various packages. It can: • Query and search the Anaconda package index and current Anaconda installation. • Create new conda environments differentiators There are potential benefits for choosing PyPI or conda. PyPI has one global namespace and distributed ownership of that namespace. Because of this, it is easier within PyPI to have single sources for for a package directly from package maintainers. Conda has unlimited namespaces (channels) and distributed ownership of a given channel. As such, it is easier to ensure binary compatibility within a channel

conda command is the primary interface for managing installations of various packages. It can: • Query and search the Anaconda package index and current Anaconda installation. • Create new conda environments differentiators There are potential benefits for choosing PyPI or conda. PyPI has one global namespace and distributed ownership of that namespace. Because of this, it is easier within PyPI to have single sources for for a package directly from package maintainers. Conda has unlimited namespaces (channels) and distributed ownership of a given channel. As such, it is easier to ensure binary compatibility within a channel

conda command is the primary interface for managing installations of various packages. It can: • Query and search the Anaconda package index and current Anaconda installation. • Create new conda environments differentiators There are potential benefits for choosing PyPI or conda. PyPI has one global namespace and distributed ownership of that namespace. Because of this, it is easier within PyPI to have single sources for for a package directly from package maintainers. Conda has unlimited namespaces (channels) and distributed ownership of a given channel. As such, it is easier to ensure binary compatibility within a channel

conda command is the primary interface for managing installations of various packages. It can: • Query and search the Anaconda package index and current Anaconda installation. • Create new conda environments differentiators There are potential benefits for choosing PyPI or conda. PyPI has one global namespace and distributed ownership of that namespace. Because of this, it is easier within PyPI to have single sources for for a package directly from package maintainers. Conda has unlimited namespaces (channels) and distributed ownership of a given channel. As such, it is easier to ensure binary compatibility within a channel