outer, uncompressed ZIP-format container, with 2 inner compressed .tar files. For the .conda format's initial internal compression format support, we chose Zstandard (zstd). The actual compression format metapackages function as a tool to help achieve mutual exclusivity among packages with different names. Let's look at some examples for how to use mutex metapackages to build NumPy against different BLAS implementa- build-time and an install-time concern. We’ll show how to use metapackages to achieve this need. Let's start with the metapackage blas=1.0=mkl: https://github.com/AnacondaRecipes/intel_repack-feedstock/blob/

outer, uncompressed ZIP-format container, with 2 inner compressed .tar files. For the .conda format's initial internal compression format support, we chose Zstandard (zstd). The actual compression format metapackages function as a tool to help achieve mutual exclusivity among packages with different names. Let's look at some examples for how to use mutex metapackages to build NumPy against different BLAS implementa- build-time and an install-time concern. We’ll show how to use metapackages to achieve this need. Let's start with the metapackage blas=1.0=mkl: https://github.com/AnacondaRecipes/intel_repack-feedstock/blob/

outer, uncompressed ZIP-format container, with 2 inner compressed .tar files. For the .conda format's initial internal compression format support, we chose Zstandard (zstd). The actual compression format metapackages function as a tool to help achieve mutual exclusivity among packages with different names. Let's look at some examples for how to use mutex metapackages to build NumPy against different BLAS implementa- build-time and an install-time concern. We’ll show how to use metapackages to achieve this need. Let's start with the metapackage blas=1.0=mkl: https://github.com/AnacondaRecipes/intel_repack-feedstock/blob/

outer, uncompressed ZIP-format container, with 2 inner compressed .tar files. For the .conda format's initial internal compression format support, we chose Zstandard (zstd). The actual compression format metapackages function as a tool to help achieve mutual exclusivity among packages with different names. Let's look at some examples for how to use mutex metapackages to build NumPy against different BLAS implementa- build-time and an install-time concern. We’ll show how to use metapackages to achieve this need. Let's start with the metapackage blas=1.0=mkl: https://github.com/AnacondaRecipes/intel_repack-feedstock/blob/

welcome 9 Python Module Index 765 Index 769 i ii conda, Release 25.1.2.dev1 Welcome to conda's documentation! Conda provides package, dependency, and environment management for any language. Here Anaconda that comes preconfigured for use with the Anaconda Repository. See the notes about Anaconda's Terms of Service. Windows x86_64 macOS arm64 (Apple Silicon) macOS x86_64 (Intel) Linux x86_64 (amd64) See also Want to get even more in-depth training on how to use conda for free? Check out Anaconda's free course on conda basics. 5 conda, Release 25.1.2.dev1 6 Chapter 2. New to conda? CHAPTER THREE

welcome 9 Python Module Index 761 Index 765 i ii conda, Release 24.11.3.dev2 Welcome to conda's documentation! Conda provides package, dependency, and environment management for any language. Here Anaconda that comes preconfigured for use with the Anaconda Repository. See the notes about Anaconda's Terms of Service. Windows x86_64 macOS arm64 (Apple Silicon) macOS x86_64 (Intel) Linux x86_64 (amd64) See also Want to get even more in-depth training on how to use conda for free? Check out Anaconda's free course on conda basics. 5 conda, Release 24.11.3.dev2 6 Chapter 2. New to conda? CHAPTER THREE

welcome 9 Python Module Index 743 Index 747 i ii conda, Release 24.9.3.dev1 Welcome to conda's documentation! Conda provides package, dependency, and environment management for any language. Here Anaconda that comes preconfigured for use with the Anaconda Repository. See the notes about Anaconda's Terms of Service. Windows x86_64 macOS arm64 (Apple Silicon) macOS x86_64 (Intel) Linux x86_64 (amd64) See also Want to get even more in-depth training on how to use conda for free? Check out Anaconda's free course on conda basics. 5 conda, Release 24.9.3.dev1 6 Chapter 2. New to conda? CHAPTER THREE

welcome 9 Python Module Index 735 Index 739 i ii conda, Release 24.1.2.dev2 Welcome to conda's documentation! Conda provides package, dependency, and environment management for any language. Here See also: Want to get even more in-depth training on how to use conda for free? Check out Anaconda's free course on conda basics. 5 conda, Release 24.1.2.dev2 6 Chapter 2. New to conda? CHAPTER THREE latest cheatsheet for commonly used commands Configuring conda Learn about the various ways conda's behavior can be configured Glossary Important vocabulary to know when working with conda 7 conda

Contributors welcome 9 Python Module Index 749 Index 753 i ii conda, Release 24.7.1 Welcome to conda's documentation! Conda provides package, dependency, and environment management for any language. Here See also Want to get even more in-depth training on how to use conda for free? Check out Anaconda's free course on conda basics. 5 conda, Release 24.7.1 6 Chapter 2. New to conda? CHAPTER THREE latest cheatsheet for commonly used commands Configuring conda Learn about the various ways conda's behavior can be configured Glossary Important vocabulary to know when working with conda 7 conda

welcome 9 Python Module Index 723 Index 727 i ii conda, Release 23.11.1.dev1 Welcome to conda's documentation! Conda provides package, dependency, and environment management for any language. Here See also: Want to get even more in-depth training on how to use conda for free? Check out Anaconda's free course on conda basics. 5 conda, Release 23.11.1.dev1 6 Chapter 2. New to conda? CHAPTER THREE latest cheatsheet for commonly used commands Configuring conda Learn about the various ways conda's behavior can be configured Glossary Important vocabulary to know when working with conda 7 conda