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Figure 40 obtained from the Anaconda website shows the Anaconda components. It is build on top of conda but provides a graphical interface for managing Python environments and packages. Anaconda makes it easy to create a Python setup conducive to data analytics that also facilitates package management (updates, installs), packaging projects, managing environments and sharing packages. It's easy to use and powerful, so let's get started with Jupyter Notebook.Anaconda is a Python distribution that includes the most popular data science package and conda in its distribution. Now that you have installed Anaconda and Python, you're going to discover the tool data scientists use for programming in Python. The next step is to launch Jupyter Notebook: Launch your first Jupyter Notebook! Once this is done, you will have several application as your disposal. On Windows, launch Anaconda Navigator in your program list. On Linux, open a console and launch: anaconda-navigator . On MacOs, launch Anaconda Navigator through Launchpad. You can check that everything went well by launching Jupyter (c.f. You can now launch Anaconda with the command anaconda in your console. The previous command added the Anaconda path to the. To PATH in your /home/ec2-user/.bashrc ? #ANACONDA NAVIGATOR TUTORIAL INSTALL#Scroll to the bottom enter yes to agree.ĭo you wish the installer to prepend the Anaconda3 install location ![]() The installer prompts “In order to continue the installation process, please review the license agreement.” Click enter to view license terms. In case the previous link doesn't work, here is a link to the Anaconda installation official tutorial: Install Anaconda on Windows or Macĭownload the Windows or MacOS installer, then double-click the installer to launch.Īnswer the different questions - default options are usually sufficient! Once installation is over, you can check that everything went well by launching Jupyter.ĭownload the Anaconda installer for Linux.Įnter the following to install Anaconda for Python 3:īash ~/Downloads/Anaconda3-5.3.0-Linux-x86_64.h To begin, download the Anaconda distribution: ![]() We recommend that you install Anaconda as it will install Python, Jupyter Notebook, and other commonly used scientific computing packages and data projects. Netflix uses Python to power its data analysis on the server side.ĭropbox uses Python for its desktop client.įor Data Science, Python is especially useful for data manipulation and visualization, thanks to the many different libraries that are available. ![]() It is one of the three official languages used by Google engineers. Many developers have also used Python to build productivity tools, games, and desktop apps. Professionally, Python is great for backend web development, data analysis, artificial intelligence, and scientific computing. Python is a general-purpose language, which means it can be used to build just about anything! #ANACONDA NAVIGATOR TUTORIAL HOW TO#We'll see how to do just that in a few minutes! What is Python ? #ANACONDA NAVIGATOR TUTORIAL CODE#You'll code in a console throughout the course, but we recommend you install Python via Anaconda and Jupyter notebook to code along. In this course, we're going to show you how to use basic Python operation for data analysis. ![]()
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