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If nothing happens and another prompt appears scikit-learn has been installed correctly. You will know this because there will be some text and three chevrons, “>”, prompting input. Open up a command line terminal and type: python Now we must see if everything installed correctly. On Linux: Use the package manager or follow the build instructions at Step 6: Test Installation
#Install tqdm ubuntu python 3.6 install
On Windows: use pip to install scikit-learn: pip install scikit-learn NOTE: More information on installing scikit-learn at the link provided above ( ) If you are on Linux you can use apt-get (or whatever package manager you have): sudo apt-get install python-pip Step 5: Install scikit-learn
#Install tqdm ubuntu python 3.6 windows
The easiest way to install pip on Windows is by using the ‘get_pip.py’ script and then running it in your command line: python get_pip.py It comes in handy so much that I highly recommend that you install it to help manage python packages. Pip is a package manager specifically for Python. It is important that you find the right installer for your OS and Python version! Step 4: Install Pip NOTE: There are a few installers based on your OS version AND the version of Python you have. It is important that you find the right installer for your OS and Python version! Step 3: Install SciPyĭownload the SciPy installer using the link provided above ( ) and run it. Install NumPy by downloading the correct installer using the link provided above ( ) then run the installer. NumPy is a powerful library for Python that contains advanced numerical capabilities. That shows that python is working and accessible from the cmd line. Something similar to “Python 2.7.6” should display. In the command line, enter: python -version I would recommend creating a shortcut if you are doing this a lot. Open a terminal by searching for ‘cmd’ or running C:\Windows\System32\cmd.exe. Once installed, we will need to check to see if Python is available on the command line. The installer for python is quick and good. I will be using Python 2.7 for this tutorial. If you do not already have Python, install it now at the address provied above ( ). By providing the links as they are, it is my hope that even if new versions come out, you will be able to use this tutorial to find the resources you need. NOTE: I have provided the links unlabeled above because, like all tech/installation tutorials, over time they become obsolete. In the process of this tutorial, you will install (or already have) the following - in this order:
#Install tqdm ubuntu python 3.6 how to
Thus, my motivation to set the record straight and provide a quick tutorial on how to install scikit-learn - mostly on Windows, but I have provided links and notes on both Linux and Mac installations as well. To a novice, this can be a frustrating task since the order of installation matters and many Google searches will only produce unhelpful and long-winded responses. The only problem with scikit-learn is that it builds off of some powerful-yet-finicky libraries, and you will need to install those libraries, NumPy and SciPy, before you can proceed with installing scikit-learn. I wanted to use something that was easy and powerful. I first encountered scikit-learn when I was developing prototypes for my first business venture.

It provides a powerful array of tools to classify, cluster, reduce, select, and so much more. Scikit-learn is a great data mining library for Python. If it successfully imports (no errors), then sklearn is installed correctly. Test installation by opening a python interpreter and importing sklearn:
#Install tqdm ubuntu python 3.6 download
Pip installed (If it is not already installed, download and install pip: ).The instructions are here:Īssumptions (What I expect to already be installed):

If you are using Python 3, the process is simplified.

Update: The instructions of this post are for Python 2.7.
