Downloading, Installing, and Starting Python SciPy
Get the Python and SciPy platform installed on your system if it is not already. One can easily follow the installation guide for it.
1.1 Install SciPy Libraries:
Working on Python version 2.7 or 3.5+.
There are 5 key libraries that you will need to install. Below is a list of the Python SciPy libraries required for this tutorial:
- scipy
- numpy
- matplotlib
- pandas
- sklearn
1.2 Start Python and Check Versions:
It is a good idea to make sure your Python environment was installed successfully and is working as expected.
The script below will help to test out the environment. It imports each library required in this tutorial and prints the version.
Type or copy and paste the following script:
Python3
# Check the versions of libraries # Python version import sys print ( 'Python: {}' . format (sys.version)) # scipy import scipy print ( 'scipy: {}' . format (scipy.__version__)) # numpy import numpy print ( 'numpy: {}' . format (numpy.__version__)) # matplotlib import matplotlib print ( 'matplotlib: {}' . format (matplotlib.__version__)) # pandas import pandas print ( 'pandas: {}' . format (pandas.__version__)) # scikit-learn import sklearn print ( 'sklearn: {}' . format (sklearn.__version__)) |
If an error arises, stop. Now is the time to fix it.