SciPy is a popular open-source Python library for scientific computing, built on NumPy. It offers modules for optimization, linear algebra, integration, signal and image processing, statistics and more. If you're using macOS for Python development or data science, installing SciPy is an essential step. macOS allows multiple methods for installing Python packages. Below are the most commonly used methods:
Method 1: Install Scipy using pip
Follow the below steps to install the Scipy package on macOS using pip:
1. Install the latest Python3 in MacOS.
2. Check if pip3 and python3 are correctly installed.
python3 --version
pip3 --version
3. Upgrade your pip to avoid errors during installation.
pip3 install --upgrade pip
4. Enter the following command to install Scipy using pip3.
pip3 install scipy
5. Verify SciPy installation.
python3 -m pip show scipy
You can also test by importing it in Python:
import scipy
print(scipy.__version__)
Method 2: Using setup.py to install Scipy
Follow the below steps to install the Scipy package on macOS using the setup.py file:
1. Download the latest source package of Scipy for python3 from here.
curl https://files.pythonhosted.org/packages/47/33/a24aec22b7be7fdb10ec117a95e1e4099890d8bbc6646902f443fc7719d1/scipy-1.7.1.tar.gz > scipy.tar.gz
2. Extract the downloaded package using the following command.
tar -xzvf scipy.tar.gz
3. Go inside the folder and Enter the following command to install the package.
Note: You must have developer tools for XCode MacOS installed in your system
cd scipy-1.7.1
python3 setup.py install
Verifying Scipy installation on macOS
Make the following import in your python terminal to verify if the installation has been done properly:
import scipy
If there is any error while importing the module then is not installed properly.