creating an environment @EXPLICIT lockfiles allow you to (re)create environments without invoking the solver. They consist of an @EXPLICIT header plus a list of conda package URLs, optionally followed by their package with the same name appears in a higher priority channel. With flexible channel priority, the solver may reach into lower priority channels to fulfill dependencies, rather than raising an unsatisfiable conda install python=3.10 Managing virtual packages "Virtual" packages are injected into the conda solver to allow real packages to depend on features present on the system that cannot be managed directly

creating an environment @EXPLICIT lockfiles allow you to (re)create environments without invoking the solver. They consist of an @EXPLICIT header plus a list of conda package URLs, optionally followed by their package with the same name appears in a higher priority channel. With flexible channel priority, the solver may reach into lower priority channels to fulfill dependencies, rather than raising an unsatisfiable conda install python=3.10 Managing virtual packages "Virtual" packages are injected into the conda solver to allow real packages to depend on features present on the system that cannot be managed directly

creating an environment @EXPLICIT lockfiles allow you to (re)create environments without invoking the solver. They consist of an @EXPLICIT header plus a list of conda package URLs, optionally followed by their package with the same name appears in a higher priority channel. With flexible channel priority, the solver may reach into lower priority channels to fulfill dependencies, rather than raising an unsatisfiable conda install python=3.10 Managing virtual packages "Virtual" packages are injected into the conda solver to allow real packages to depend on features present on the system that cannot be managed directly

package with the same name appears in a higher priority channel. With flexible channel priority, the solver may reach into lower priority channels to fulfill dependencies, rather than raising an unsatisfiable conda install python=3.10 Managing virtual packages "Virtual" packages are injected into the conda solver to allow real packages to depend on features present on the system that cannot be managed directly facilitate switching from MKL (which is the default) to OpenBLAS. How did MKL become the default? The solver needs a way to prioritize some packages over others. We achieve that with an older conda feature

package with the same name appears in a higher priority channel. With flexible channel priority, the solver may reach into lower priority channels to fulfill dependencies, rather than raising an unsatisfiable conda install python=3.10 Managing virtual packages "Virtual" packages are injected into the conda solver to allow real packages to depend on features present on the system that cannot be managed directly facilitate switching from MKL (which is the default) to OpenBLAS. How did MKL become the default? The solver needs a way to prioritize some packages over others. We achieve that with an older conda feature

package with the same name appears in a higher priority channel. With flexible channel priority, the solver may reach into lower priority channels to fulfill dependencies, rather than raising an unsatisfiable conda install python=3.10 Managing virtual packages "Virtual" packages are injected into the conda solver to allow real packages to depend on features present on the system that cannot be managed directly facilitate switching from MKL (which is the default) to OpenBLAS. How did MKL become the default? The solver needs a way to prioritize some packages over others. We achieve that with an older conda feature

package with the same name appears in a higher priority channel. With flexible channel priority, the solver may reach into lower priority channels to fulfill dependencies, rather than raising an unsatisfiable conda install python=3.10 Managing virtual packages "Virtual" packages are injected into the conda solver to allow real packages to depend on features present on the system that cannot be managed directly facilitate switching from MKL (which is the default) to OpenBLAS. How did MKL become the default? The solver needs a way to prioritize some packages over others. We achieve that with an older conda feature

package with the same name appears in a higher priority channel. With flexible channel priority, the solver may reach into lower priority channels to fulfill dependencies, rather than raising an unsatisfiable conda install python=3.10 Managing virtual packages "Virtual" packages are injected into the conda solver to allow real packages to depend on features present on the system that cannot be managed directly facilitate switching from MKL (which is the default) to OpenBLAS. How did MKL become the default? The solver needs a way to prioritize some packages over others. We achieve that with an older conda feature

facilitate switching from MKL (which is the default) to OpenBLAS. How did MKL become the default? The solver needs a way to prioritize some packages over others. We achieve that with an older conda feature Reducing the index. 3. Expressing the package data and constraints as a SAT problem. 4. Running the solver. 5. Downloading and extracting packages. 6. Verifying package contents. 7. Linking packages from doesn’t have as much work to do. Reducing the index: • Reduces unnecessary input into generating solver clauses. • Reduces solve complexity. • Prefers newer packages that apply constraints. Read more

facilitate switching from MKL (which is the default) to OpenBLAS. How did MKL become the default? The solver needs a way to prioritize some packages over others. We achieve that with an older conda feature Reducing the index. 3. Expressing the package data and constraints as a SAT problem. 4. Running the solver. 5. Downloading and extracting packages. 6. Verifying package contents. 7. Linking packages from doesn’t have as much work to do. Reducing the index: • Reduces unnecessary input into generating solver clauses. • Reduces solve complexity. • Prefers newer packages that apply constraints. Read more