NOTE: If you get an error message, make sure you closed and re-opened the Terminal window after installing, or do it now. Then verify that you are logged into the same user account that you used to install com/support/ . 1.4 Installation • System requirements • Regular installation • Installing in silent mode • Installing conda on a system that has other Python installations or packages The fastest way For information on using our graphical installers for Windows or macOS, see the instructions for installing Anaconda. 1.4.1 System requirements • 32- or 64-bit computer. • For Miniconda—400 MB disk space

NOTE: If you get an error message, make sure you closed and re-opened the Terminal window after installing, or do it now. Then verify that you are logged into the same user account that you used to install com/support/ . 1.4 Installation • System requirements • Regular installation • Installing in silent mode • Installing conda on a system that has other Python installations or packages The fastest way For information on using our graphical installers for Windows or macOS, see the instructions for installing Anaconda. 1.4.1 System requirements • 32- or 64-bit computer. • For Miniconda—400 MB disk space

search scipy • You may install a package conda install scipy • You may build a package after installing conda-build 4 Chapter 1. User guide conda Documentation, Release 23.3.1.post2+bdcba5dd0 conda are not mutually exclusive. There’s nothing stopping conda from installing both at once. There’s nothing stopping conda from installing NumPy with MKL and SciPy with OpenBLAS. The metapackage is what allows libraries) will have correct dependency information to achieve the unified runtime library collection. Installing NumPy with BLAS variants To specify which variant of NumPy that you want, you could potentially

search scipy • You may install a package conda install scipy • You may build a package after installing conda-build 4 Chapter 1. User guide conda Documentation, Release 0.0.0.dev0+placeholder conda are not mutually exclusive. There’s nothing stopping conda from installing both at once. There’s nothing stopping conda from installing NumPy with MKL and SciPy with OpenBLAS. The metapackage is what allows libraries) will have correct dependency information to achieve the unified runtime library collection. Installing NumPy with BLAS variants To specify which variant of NumPy that you want, you could potentially

search scipy • You may install a package conda install scipy • You may build a package after installing conda-build 4 Chapter 1. User guide conda, Release 23.7.4.dev7 conda build my_fun_package Package are not mutually exclusive. There’s nothing stopping conda from installing both at once. There’s nothing stopping conda from installing NumPy with MKL and SciPy with OpenBLAS. The metapackage is what allows libraries) will have correct dependency information to achieve the unified runtime library collection. Installing NumPy with BLAS variants To specify which variant of NumPy that you want, you could potentially

search scipy • You may install a package conda install scipy • You may build a package after installing conda-build 4 Chapter 1. User guide conda, Release 23.9.1.dev1 conda build my_fun_package Package are not mutually exclusive. There’s nothing stopping conda from installing both at once. There’s nothing stopping conda from installing NumPy with MKL and SciPy with OpenBLAS. The metapackage is what allows libraries) will have correct dependency information to achieve the unified runtime library collection. Installing NumPy with BLAS variants To specify which variant of NumPy that you want, you could potentially

Note Miniconda and Anaconda Distribution come preconfigured to use the Anaconda Repository and installing/using packages from that repository is governed by the Anaconda Terms of Service, which means that and the asterisk (*) returns to base. To verify, you can repeat the conda info --envs command. Installing packages You can also install packages into a previously created environment. To do this, you option conda install --name myenvironment matplotlib For more information on searching for and installing packages, see Managing packages. Specifying channels Channels are locations (on your own computer

Note Miniconda and Anaconda Distribution come preconfigured to use the Anaconda Repository and installing/using packages from that repository is governed by the Anaconda Terms of Service, which means that and the asterisk (*) returns to base. To verify, you can repeat the conda info --envs command. Installing packages You can also install packages into a previously created environment. To do this, you option conda install --name myenvironment matplotlib For more information on searching for and installing packages, see Managing packages. Specifying channels Channels are locations (on your own computer

Note Miniconda and Anaconda Distribution come preconfigured to use the Anaconda Repository and installing/using packages from that repository is governed by the Anaconda Terms of Service, which means that and the asterisk (*) returns to base. To verify, you can repeat the conda info --envs command. Installing packages You can also install packages into a previously created environment. To do this, you option conda install --name myenvironment matplotlib For more information on searching for and installing packages, see Managing packages. Specifying channels Channels are locations (on your own computer

and the asterisk (*) returns to base. To verify, you can repeat the conda info --envs command. Installing packages You can also install packages into a previously created environment. To do this, you option conda install --name myenvironment matplotlib For more information on searching for and installing packages, see Managing packages. Specifying channels Channels are locations (on your own computer want is located in another channel, such as conda-forge, you can manually specify the channel when installing the package: conda install conda-forge::numpy You can also override the default channels in your