![]() Once Anaconda is downloaded and installed, you will be ready to use conda. Run Anaconda Prompt (skip this section if you are familiar with conda) You can download the installer for Anaconda here. If you are low on hard drive space, Miniconda is fine - just don’t be surprised by the number of packages you’ll have to install that would be ready out of the box with Anaconda (Pandas, Numpy, Matplotlib, Seaborn, Jupyter, Scikit-learn, etc.). Miniconda is a barebones version of the Anaconda distribution, and is a little less beginner-friendly, coming with only Python, conda, pip, and a couple of dependencies necessary to make them work. Install AnacondaĪlthough Codecademy recommends installing Miniconda, I highly recommend saving some headaches and installing the full version of Anaconda if you have the space on your PC and you are serious about getting into Data Analysis/Data Science. It is used primarily in the Data Science world, but can be used for much, much more.įor a detailed breakdown, read the excellent post by Jake VanderPlas (Software Engineer, Google), Conda: Myths and Misconceptions Instructions 1. In short, conda is a very powerful package manager that excels at managing dependencies and offers an easy way to create and use virtual environments for your projects. (This post assumes you have already installed and used Git Bash previously) What is conda, and why would I want to use it?īefore we dive into the instructions, it’s important to understand a little about conda and how it differs from pip. If you use and enjoy Git Bash and want to take advantage of the power of conda without switching terminals, follow the instructions below to get it up and running. If you any questions or thoughts on the tutorial, feel free to reach out in the comments below or through Twitter.If you’re a Windows user following along with the Data Science or Computer Science career paths on Codecademy (or the Learn Python courses), you may have noticed the recommendation to use Git Bash for your terminal, and the instructions on installing Python via Miniconda, but the lack of guidance on using conda within the Git Bash terminal rather than CMD or Anaconda Prompt. If you want to learn about Python for Data Science, I suggest you check out the DataCamp course Intro to Python for Data Science. If you aren't sure what to do to start coding on your computer, I recommend you check out the the Jupyter Notebook Definitive Guide to learn how to code using Jupyter Notebooks. If you would like to learn more about Anaconda, you can learn more about it here. ![]() This tutorial provided a quick guide on how to install Anaconda on Windows as well as how to deal with a common installation issue. Try typing conda -version and python -version into the Command Prompt to check to see if everything went well. If you are having issues, here is a short video on adding conda and python to your PATH.ĥ. You can do this by going to your Environment Variables and adding the output of step 3 (enclosed in the red rectangle) to your path. This is telling you where conda and python are located on your computer. If you don't know where your conda and/or python is, open an Anaconda Prompt and type in the following commands. If you get an output similar to the right side of the image below, you have already added Anaconda to your path. If you get a command not recognized error like in the left side of the image below, proceed to step 3. This is checking if you already have Anaconda added to your path. Enter the commands below into your Command Prompt. Check if you already have Anaconda added to your path. The advantage of this is that you will be able to use Anaconda in your Command Prompt, Git Bash, cmder etc.Ģ. This is for the case where you didn't check the box in step 6 and now want to add Anaconda to your Path. You can install Microsoft VSCode if you wish, but it is optional.ĩ. If you want to be able to use Anaconda in your command prompt (or git bash, cmder, powershell etc), please use the alternative approach and check the box. This means you will have to use Anaconda Navigator or the Anaconda Command Prompt (located in the Start Menu under "Anaconda") when you wish to use Anaconda (you can always add Anaconda to your PATH later if you don't check the box). The recommended approach is to not check the box to add Anaconda to your path. This is an important part of the installation process. Note your installation location and then click Next.Ħ. ![]() Read the license agreement and click on I Agree.ĥ. When the screen below appears, click on Next.ģ. Locate your download and double click it. Note: see our installing anaconda on Mac OS X tutorial if you're not on Windows.Ģ. If you aren't sure which Python version you want to install, choose Python 3. Go to the Anaconda Website and choose a Python 3.x graphical installer (A) or a Python 2.x graphical installer (B).
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |