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1.3.1 Installing scikit-learn

1.3.1 Installing scikit-learn


scikit-learn depends on two other Python packages, NumPy and SciPy. For plotting and interactive development, you should also install matplotlib, IPython, and the Jupyter Notebook. We recommend using one of the following prepackaged Python distributions, which will provide the necessary packages:


Anaconda

A Python distribution made for large-scale data processing, predictive analytics, and scientific computing. Anaconda comes with NumPy, SciPy, matplotlib, pandas, IPython, Jupyter Notebook, and scikit-learn. Available on Mac OS, Windows, and Linux, it is a very convenient solution and is the one we suggest for people without an existing installation of the scientific Python packages.


Enthought Canopy

Another Python distribution for scientific computing. This comes with NumPy, SciPy, matplotlib, pandas, and IPython, but the free version does not come with scikit-learn. If you are part of an academic, degree-granting institution, you can request an academic license and get free access to the paid subscription version of Enthought Canopy. Enthought Canopy is available for Python 2.7.x, and works on Mac OS, Windows, and Linux.


Python(x,y)

A free Python distribution for scientific computing, specifically for Windows. Python(x,y) comes with NumPy, SciPy, matplotlib, pandas, IPython, and scikit-learn.
If you already have a Python installation set up, you can use pip to install all of these packages:

$ pip install numpy scipy matplotlib ipython scikit-learn pandas pillow





















































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