with pip. The differences between pip and conda packages cause certain unavoidable limits in compatibility, but conda works hard to be as compatible with pip as possible. NOTE: Both pip and conda are consistent with those specifications and compatible with the underlying environment. If full compatibility cannot be assured, an error is reported and the environment is not changed. Conda attempts to • resolve #7591 updates and improvements from namespace PR for 4.6 (#7599) • resolve #7592 compatibility shims (#7606) • user-agent context refactor (#7630) • solver performance improvements with benchmarks

with pip. The differences between pip and conda packages cause certain unavoidable limits in compatibility, but conda works hard to be as compatible with pip as possible. NOTE: Both pip and conda are consistent with those specifications and compatible with the underlying environment. If full compatibility cannot be assured, an error is reported and the environment is not changed. Conda attempts to • resolve #7591 updates and improvements from namespace PR for 4.6 (#7599) • resolve #7592 compatibility shims (#7606) • user-agent context refactor (#7630) • solver performance improvements with benchmarks

based on the same code. Why use conda virtual environments? • You want control over binary compatibility choices. • You want to utilize newer language standards, such as C++ 17. • You need libraries (channels) and distributed ownership of a given channel. As such, it is easier to ensure binary compatibility within a channel using conda. 22 Chapter 1. User guide conda Documentation, Release 23.3.1.post2+bdcba5dd0 with pip. The differences between pip and conda packages cause certain unavoidable limits in compatibility but conda works hard to be as compatible with pip as possible. Note: Both pip and conda are included

based on the same code. Why use conda virtual environments? • You want control over binary compatibility choices. • You want to utilize newer language standards, such as C++ 17. • You need libraries (channels) and distributed ownership of a given channel. As such, it is easier to ensure binary compatibility within a channel using conda. 22 Chapter 1. User guide conda Documentation, Release 0.0.0.dev0+placeholder with pip. The differences between pip and conda packages cause certain unavoidable limits in compatibility but conda works hard to be as compatible with pip as possible. Note: Both pip and conda are included

based on the same code. Why use conda virtual environments? • You want control over binary compatibility choices. • You want to utilize newer language standards, such as C++ 17. • You need libraries (channels) and distributed ownership of a given channel. As such, it is easier to ensure binary compatibility within a channel using conda. 22 Chapter 1. User guide conda, Release 23.7.4.dev7 1.1. Concepts with pip. The differences between pip and conda packages cause certain unavoidable limits in compatibility but conda works hard to be as compatible with pip as possible. Note: Both pip and conda are included

with pip. The differences between pip and conda packages cause certain unavoidable limits in compatibility but conda works hard to be as compatible with pip as possible. � Note Both pip and conda are based on the same code. Why use conda virtual environments? • You want control over binary compatibility choices. • You want to utilize newer language standards, such as C++ 17. • You need libraries (channels) and distributed ownership of a given channel. As such, it is easier to ensure binary compatibility within a channel using conda. Installing with conda Conda packages can be installed by running

based on the same code. Why use conda virtual environments? • You want control over binary compatibility choices. • You want to utilize newer language standards, such as C++ 17. • You need libraries (channels) and distributed ownership of a given channel. As such, it is easier to ensure binary compatibility within a channel using conda. 28 Chapter 4. Contributors welcome conda, Release 23.11.1.dev1 with pip. The differences between pip and conda packages cause certain unavoidable limits in compatibility but conda works hard to be as compatible with pip as possible. 92 Chapter 4. Contributors welcome

with pip. The differences between pip and conda packages cause certain unavoidable limits in compatibility but conda works hard to be as compatible with pip as possible. Note: Both pip and conda are included based on the same code. Why use conda virtual environments? • You want control over binary compatibility choices. • You want to utilize newer language standards, such as C++ 17. • You need libraries (channels) and distributed ownership of a given channel. As such, it is easier to ensure binary compatibility within a channel using conda. Installing with conda Conda packages can be installed by running

with pip. The differences between pip and conda packages cause certain unavoidable limits in compatibility but conda works hard to be as compatible with pip as possible. Note: Both pip and conda are included based on the same code. Why use conda virtual environments? • You want control over binary compatibility choices. • You want to utilize newer language standards, such as C++ 17. • You need libraries (channels) and distributed ownership of a given channel. As such, it is easier to ensure binary compatibility within a channel using conda. Installing with conda Conda packages can be installed by running

with pip. The differences between pip and conda packages cause certain unavoidable limits in compatibility but conda works hard to be as compatible with pip as possible. Note: Both pip and conda are included based on the same code. Why use conda virtual environments? • You want control over binary compatibility choices. • You want to utilize newer language standards, such as C++ 17. • You need libraries (channels) and distributed ownership of a given channel. As such, it is easier to ensure binary compatibility within a channel using conda. Installing with conda Conda packages can be installed by running