lower-level (Python itself is a dependency provided in conda environments). Scroll to the right in the table below. Some other traits are: Python virtual environment Conda virtual environment Libraries Statically 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

lower-level (Python itself is a dependency provided in conda environments). Scroll to the right in the table below. Some other traits are: Python virtual environment Conda virtual environment Libraries Statically 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 23.9.1.dev1 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 lower-level (Python itself is a dependency provided in conda environments). Scroll to the right in the table below. 4.1. User guide 89 conda, Release 24.5.1.dev1 Some other traits are: Python virtual environment 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

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 lower-level (Python itself is a dependency provided in conda environments). Scroll to the right in the table below. 88 Chapter 4. Contributors welcome conda, Release 24.3.1.dev2 Some other traits are: Python 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

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 lower-level (Python itself is a dependency provided in conda environments). Scroll to the right in the table below. 88 Chapter 4. Contributors welcome conda, Release 24.3.1.dev7 Some other traits are: Python 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

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 lower-level (Python itself is a dependency provided in conda environments). Scroll to the right in the table below. Some other traits are: Python virtual environment Conda virtual environment Libraries Statically 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

lower-level (Python itself is a dependency provided in conda environments). Scroll to the right in the table below. 26 Chapter 4. Contributors welcome conda, Release 23.10.1.dev3 Some other traits are: Python 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 23.10.1.dev3

lower-level (Python itself is a dependency provided in conda environments). Scroll to the right in the table below. 26 Chapter 4. Contributors welcome conda, Release 23.11.1.dev1 Some other traits are: Python 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. Note: Both pip and conda are included lower-level (Python itself is a dependency provided in conda environments). Scroll to the right in the table below. 88 Chapter 4. Contributors welcome conda, Release 24.1.2.dev2 Some other traits are: Python 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

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 lower-level (Python itself is a dependency provided in conda environments). Scroll to the right in the table below. Some other traits are: Python virtual environment Conda virtual environment Libraries Statically 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