The tool that we’re particularly interested in at this point is called Spyder (Scientific Python Development Environment) which is an IDE (integrated development environment) that allows you to work with Python and is particularly well suited for machine learning. It’s also a prerequisite for making machine learning incredibly easy to get started with. Step 4: Install SpyderĪnaconda Python comes with a bunch of different tools for working with Python which is cool if you’re really into Python development. If you’re launching Anaconda on a Mac, you’ll find Anaconda in your Applications folder. Begin typing anaconda and then click on the Anaconda Navigator application when it shows up. If you’re on a PC this means going to your taskbar to search for the application. Once Anaconda is downloaded and installed on your computer you’ll need to fire up the program for the first time. Unless you really want it, you can skip the install of Microsoft VSCode by clicking continue.Įt voilà! Anaconda Python is installed.Odds are this is going to take a few minutes. If you’re not sure, go with the default location. Select where you want Anaconda to be installed.The installer will want to check whether you already have Anaconda installed.pkg file that you just downloaded to launch the installer. Once you’ve downloaded your operating system’s version of Anaconda you’ll need to run the setup file. It’s a large file so it might take a few minutes to download – go ahead and grab a drink. At the time of writing this tutorial that’s Python 3.6 (although later versions are released frequently). Once you’ve selected your operating system choose the version of Python that you want to install – get the most recent version. The installation process is very similar for both Mac and Windows. Navigate to the Anaconda website and click the download icon for your specific operating system. Now that you’re sold on Anaconda let’s get it onto your computer asap. Since Anaconda already comes with everything a beginner needs to get started with machine learning, it’s pretty easy to get the hang of quickly, even if you’ve never looked at a line of code before. Plus, with so many different people using the software you can rest assured that the code recommendations and solutions offered up by the community will be pretty legit.Īdditionally, Anaconda provides an easy-to-use workspace (aka an integrated development environment or IDE) as standard with their pre-packaged solution and it’s configured to work with all the major machine learning kit. Out of the digital box, the Python variant of Anaconda comes with 250+ of the most popular Python data science packages that are “curated and compiled” and are available pre-loaded in their virtual environment manager so everything just works from the moment you get started – no need to install out there.īasically, Anaconda is one of the easiest ways get started with Python-based data science and machine learning projects.Īnaconda also has a community of some 6+ million users which is great if you’re searching around for questions online. It’s a data science package that is easy to download and install and works on Mac, Windows, and Linux. Part 3 covers the essential elements of Python for beginners.Īnaconda is a must-have tool for anyone looking to easily get started with machine learning and data science.Īnaconda is an open source distribution of the Python and R programming languages and looks to make getting underway in either of these languages as easy as possible. Part 1 walks through installing Python and the IDLE interface, while part 2 covers how to install Python via Anaconda. This is the second in a three-part series that introduces Python to absolute beginners.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |