![\"Python](\"http:\/\/blog.cloudxlab.com\/wp-content\/uploads\/2017\/10\/scikit-learnpython-1024x512.png\")
<\/p>\n<\/p>\n
In this post, we will learn how to configure tools required for CloudxLab’s\u00a0Python for Machine Learning<\/a> course.\u00a0We will use Python 3 and Jupyter notebooks for hands-on practicals in the course. Jupyter notebooks provide a really good user interface to write code, equations, and visualizations.<\/p>\n Please choose one of the options listed below for practicals during the course.<\/p>\n <\/p>\n At CloudxLab, we provide the virtual online cloud-based lab with all the software and tools pre-installed so that you can start practicing immediately instead of going through the pain of installing and configuring the tools and software on your local machine.<\/p>\n Please find more details on the lab\u00a0here<\/a>.\u00a0You can start with the 1-month plan and extend it as per your convenience.<\/p>\n We recommend to signup for the lab to get most out of the course. If you prefer using your local machine instead, then please follow the steps given in the later section of this guide.<\/p>\n Please note that due to a high number of signups in this course, it will be difficult for us to provide support in case of installation issues on your local machine.<\/p>\n After your subscription to the lab, Navigate to “My Lab”<\/a>\u00a0and click on “Lab Credentials”. Here you will see your lab username, password, and links to access various services like Ambari, Hue, Web Console and Jupyter. Click on “Jupyter”.<\/p>\n Log in with your lab username and password. After successful login, Jupyter lists all the files and folders in your home directory (if you have any)<\/p>\n Let’s launch a Python 3 notebook. Click on “New” and select “Python 3” to launch a Python 3 notebook<\/p>\n Jupyter notebook consists of cells where we write the code. Let’s import few python packages and check if Python packages are available. Type below code in the cell and press “Shift + Enter” to execute the code.<\/p>\n As you can see that we have successfully imported the packages as there is no error displayed by the notebook. Now we’re good to go for doing hands-on in the lab during the course.<\/p>\n If you prefer installing these tools locally then please follow below steps<\/p>\n We’ll use Anacoda to configure packages required for the course. Anaconda is a Python distribution that makes it easy to install Python and other data science and machine learning libraries in a flexible way on a Windows, Mac and Linux machines.<\/p>\n Let’s download Anaconda. Go to Anaconda download page<\/a>\u00a0and download Python 3.6, 64-bit Graphical installer. Please, select 32-bit installer if your Windows is 32-bit.<\/p>\n Now install the Anaconda’s .exe\u00a0file. After the installation is complete, search for “Anaconda Navigator” in the programs and click on it.<\/p>\n Now click on “Launch” in the Jupyter box and the notebook will open in the browser window<\/p>\n We can also open a notebook from the command line. Search for “Anaconda Prompt” in the programs and click on it.<\/p>\n Anaconda prompt opens. Type “jupyter notebook” on the prompt and press enter to launch the notebook.<\/p>\n We can also install the libraries from the command line. For example, to install the library ‘pymysql’ type below command, press enter, and the package will be installed<\/p>\n Download Python 3.6, 64-bit graphical installer from here<\/a> and install it. Choose “install for this user only” during the setup process. After the installation open “anaconda-Navigator” and click on “Launch” under Jupyter to launch notebook.<\/p>\n To access anaconda using command line, search for anaconda and click on “anaconda” which is UNIX executable<\/p>\nOption 1- Use CloudxLab’s lab<\/h2>\n
![\"Jupyter](\"http:\/\/blog.cloudxlab.com\/wp-content\/uploads\/2017\/10\/jupyter-service-1024x377.png\")
![\"Files](\"http:\/\/blog.cloudxlab.com\/wp-content\/uploads\/2017\/10\/Files_in_home_folder--1024x499.png\")
![\"Python](\"http:\/\/blog.cloudxlab.com\/wp-content\/uploads\/2017\/10\/Python3_notebook-1024x428.png\")
import numpy\r\nimport pandas<\/pre>\n
![\"Importing](\"http:\/\/blog.cloudxlab.com\/wp-content\/uploads\/2017\/10\/importing_python_packages-1024x360.png\")
Option 2 – Install Python 3 on your local machine<\/h2>\n
2.1 Installation on Windows<\/h2>\n
![\"Download](\"http:\/\/blog.cloudxlab.com\/wp-content\/uploads\/2017\/10\/anaconda-download-1024x434.png\")
![\"Anaconda](\"http:\/\/blog.cloudxlab.com\/wp-content\/uploads\/2017\/10\/Anaconda-navigator-1024x557.png\")
![\"Launch](\"http:\/\/blog.cloudxlab.com\/wp-content\/uploads\/2017\/10\/Jupyter_icon_anaconda_navigator-1024x422.png\"){kind=icon}
![\"Jupyter](\"http:\/\/blog.cloudxlab.com\/wp-content\/uploads\/2017\/10\/Jupyter-on_windows-1024x297.png\")
![\"Anaconda](\"http:\/\/blog.cloudxlab.com\/wp-content\/uploads\/2017\/10\/Anaconda-Prompt-1024x552.png\")
![\"Jupyter](\"http:\/\/blog.cloudxlab.com\/wp-content\/uploads\/2017\/10\/jupyter-notebook-1024x518.png\")
conda install pymysql<\/pre>\n
![\"Conda](\"http:\/\/blog.cloudxlab.com\/wp-content\/uploads\/2017\/10\/conda-install-1024x514.png\")
2.2 Installation on Mac OS<\/h2>\n
![\"Anaconda](\"http:\/\/blog.cloudxlab.com\/wp-content\/uploads\/2017\/10\/anaconda-command-line-mac-1.png\")
2.3 Installation on Linux<\/h2>\n