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In the following, it is assumed anaconda (or miniconda) is installed. Install in conda Environment¶ Install Conda On Macos X Then, use the package in this environment. Install special_functions package with any of the above methods. Install in virtualenv Environment¶Ĭreate a virtual environment and give it a name, such as special_functions_env Below we describe the installation procedure in two common virtual environments, namely, virtualenv and conda. If you do not want the installation to occupy your main python’s site-packages, you may install the package in an isolated virtual environment. For instance: Install in Virtual Environment¶
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You may set this directory accordingly to the directory of your Intel compiler.Ĭlone the source code and install this package byĪfter the package is built and installed from the source code, the package cannot be imported properly if the current working directory is the same as the source code directory.To properly import the package, change the current working directory to a directory anywhere else outside of the source code directory. Here, we assumed the Intel Fortran compiler is installed in C:Program Files (x86)InteloneAPI. Open the command prompt (where you will enter the installation commands in the next step) and load the Intel compiler variables by Windows: Install both Microsoft Visual C++ compiler and Intel Fortran compiler (Intel oneAPI). If gcc is already installed, but Fortran compiler is yet not available on macOS, you may resolve this issue by reinstalling: Linux: Install gcc, for instance, by apt (or any other package manager on your Linux distro)
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Install both C and Fortran compilers as follows. These dependencies are installed automatically during the build process and no action is needed. Build and Install from Source Code¶īuild dependencies: To build the package from the source code, numpy and cython are required. On macOS and Python 2.7, install this package with pip instead of conda.
#Conda install opencv mac os upgrade
If you are using PyPy instead of Python, ensure pip is installed and upgrade the existing pip byĪlternatively, the package can be installed through Anaconda could.
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The recommended installation method is through the package available at PyPi using pip.Įnsure pip is installed within Python and upgrade the existing pip by Install from PyPi¶ Install Conda Macos Brew Install by either through PyPi, Conda, or build locally. To install on the older Python 3 versions that are not listed in the above (for example Python 3.5), you should build this package from the source code (see build instructions).Īt runtime: This package does not have any dependencies at runtime.įor tests: To run tests, scipy package is required and can be installed by This package cannot be installed via pip or conda on the Python/PyPy versions indicated by ✖ in the above table. Successful installation and tests have been performed on the following platforms and Python/PyPy versions shown in the table below.įor the Python/PyPy versions indicated by ✔ in the above, this package can be installed using either pip or conda (see installation instructions below.) You should see: A new miniconda3 directory in your home The shell prompt modified to prepend the word '(base)'.Ĭonda install linux-ppc64le v0.10.3 osx-arm64 v0.10.3 linux-64 v0.10.3 win-32 v0.9.0 linux-aarch64 v0.10.3 osx-64 v0.10.3 win-64 v0.10.3 To install this. After the installation, bring up a terminal to see what you have. The install took about 158MB of space on my system.
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To install Conda, download the PKG format file, do the usual double-click, and select the 'Install for me only' option.MacOS Catalina (and later) If you are on macOS Catalina (or later versions), the default shell is zsh. In order to initialize after the installation process is done, first run source conda/bin/activate and then run conda init. If you enter “no”, then conda will not modify your shell scripts at all.Conda easily creates, saves, loads, and switches between environments on your local computer. Conda quickly installs, runs, and updates packages and their dependencies. Conda is an open-source package management system and environment management system that runs on Windows, macOS, and Linux.