about build strings and package naming conventions. Learn more about package specifications and meta- data. For example, if you want to install llvmlite 0.31.0dev0 on Python 3.7.8, you would enter: conda 1. Downloading and processing index metadata. 2. Reducing the index. 3. Expressing the package data and constraints as a SAT problem. 4. Running the solver. 5. Downloading and extracting packages reduced by conda based upon the user's input specs. It's likely that your repodata contains package data that is not used in the solving stage. Filtering out these unnecessary packages before solving can

about build strings and package naming conventions. Learn more about package specifications and meta- data. For example, if you want to install llvmlite 0.31.0dev0 on Python 3.7.8, you would enter: conda 1. Downloading and processing index metadata. 2. Reducing the index. 3. Expressing the package data and constraints as a SAT problem. 4. Running the solver. 5. Downloading and extracting packages reduced by conda based upon the user's input specs. It's likely that your repodata contains package data that is not used in the solving stage. Filtering out these unnecessary packages before solving can

about build strings and package naming conventions. Learn more about package specifications and meta- data. For example, if you want to install llvmlite 0.31.0dev0 on Python 3.7.8, you would enter: conda 1. Downloading and processing index metadata. 2. Reducing the index. 3. Expressing the package data and constraints as a SAT problem. 4. Running the solver. 5. Downloading and extracting packages reduced by conda based upon the user's input specs. It's likely that your repodata contains package data that is not used in the solving stage. Filtering out these unnecessary packages before solving can

about build strings and package naming conventions. Learn more about package specifications and meta- data. For example, if you want to install llvmlite 0.31.0dev0 on Python 3.7.8, you would enter: conda 1. Downloading and processing index metadata. 2. Reducing the index. 3. Expressing the package data and constraints as a SAT problem. 4. Running the solver. 5. Downloading and extracting packages reduced by conda based upon the user's input specs. It's likely that your repodata contains package data that is not used in the solving stage. Filtering out these unnecessary packages before solving can

reference 137 5 Glossary 161 6 Developer guide 167 7 Release notes 227 Python Module Index 363 Index 365 i ii conda Documentation, Release 0.0.0.dev0+placeholder Package, dependency and environment management about build strings and package naming conventions. Learn more about package specifications and meta- data. For example, if you want to install llvmlite 0.31.0dev0 on Python 3.7.8, you would enter: conda 1. Downloading and processing index metadata. 2. Reducing the index. 3. Expressing the package data and constraints as a SAT problem. 4. Running the solver. 5. Downloading and extracting packages

reference 137 5 Glossary 165 6 Developer guide 171 7 Release notes 229 Python Module Index 363 Index 365 i ii conda Documentation, Release 23.3.1.post2+bdcba5dd0 Package, dependency and environment management about build strings and package naming conventions. Learn more about package specifications and meta- data. For example, if you want to install llvmlite 0.31.0dev0 on Python 3.7.8, you would enter: conda 1. Downloading and processing index metadata. 2. Reducing the index. 3. Expressing the package data and constraints as a SAT problem. 4. Running the solver. 5. Downloading and extracting packages

Distribution Anaconda Distribution is a full featured installer that comes with a suite of packages for data science, as well as Anaconda Navigator, a GUI application for working with conda environments. Miniforge following: (/absolute/path/to/envs) $ This can result in long prefixes: (/Users/USER_NAME/research/data-science/PROJECT_NAME/envs) $ To remove this long prefix in your shell prompt, modify the env_prompt just released a new version (dependency version number update). • you need an additional package for data analysis (add a new dependency). • you have found a better package and no longer need the older package

the other methods of this class. You should only use this method if you are sure you have outdated data. Returns SubdirData class conda.api.PackageCacheData(pkgs_dir) Beta While in beta, expect both the other methods of this class. You should only use this method if you are sure you have outdated data. Returns PackageCacheData class conda.api.PrefixData(prefix_path) Beta While in beta, expect both the other methods of this class. You should only use this method if you are sure you have outdated data. Returns PrefixData 98 Chapter 4. Conda Python API CHAPTER 5 Release notes This information is

the other methods of this class. You should only use this method if you are sure you have outdated data. Returns SubdirData class conda.api.PackageCacheData(pkgs_dir) Beta While in beta, expect both the other methods of this class. You should only use this method if you are sure you have outdated data. Returns PackageCacheData class conda.api.PrefixData(prefix_path) Beta While in beta, expect both the other methods of this class. You should only use this method if you are sure you have outdated data. Returns PrefixData 98 Chapter 4. Conda Python API CHAPTER 5 Release notes This information is

Distribution Anaconda Distribution is a full featured installer that comes with a suite of packages for data science, as well as Anaconda Navigator, a GUI application for working with conda environments. Miniforge following: (/absolute/path/to/envs) $ This can result in long prefixes: (/Users/USER_NAME/research/data-science/PROJECT_NAME/envs) $ To remove this long prefix in your shell prompt, modify the env_prompt just released a new version (dependency version number update). • you need an additional package for data analysis (add a new dependency). • you have found a better package and no longer need the older package