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1. Python modules works in anaconda prompt but not in terminal full version#
2. Python modules works in anaconda prompt but not in terminal install#
3. Python modules works in anaconda prompt but not in terminal download#
4. Python modules works in anaconda prompt but not in terminal windows#

$'/conda.sh" > ~/.bashrcĪfter running this command, you will need to close Git Bash and reopen it for it to take effect. Now, so long as the path to your file has no spaces, you can add conda.sh to your. This will open a new instance of Git Bash to the correct directory. If you don’t remember, the easiest way to find it is to use the search bar and search for “Anaconda3” and scroll down to the folders: If you remember where that is, you can navigate there using the File Explorer. The shell script we need is located inside of the folder your Anaconda distribution added to your computer. This is the same file that you store your bash aliases in (such as the sqlite3 alias you probably created when you followed these instructions). In order to make the conda command available in Git Bash, you need to add conda’s shell script to your. This is because conda has only been set up to run from Anaconda Prompt by default. If you type conda list in Git Bash, you will receive an error that looks something like this: bash: conda: command not found Unfortunately, it’s not quite that simple. As you can see, there is nothing on the prompt to indicate whether you are inside an active conda environment or not.

Now that you have an idea of how conda should look, go ahead and open Git Bash. Make conda run in Git Bash A) Open Git Bash If you are interested in seeing which packages are installed in your base environment, simply type the command conda list. For example, if you make and activate an environment called “test”, you will see (test) at the beginning of the prompt. When you do, you will see the name of the currently active conda environment inside of the parentheses. Later on, as you become more familiar with conda, you should begin creating new environments for each project you work on. This base environment is where all of the pre-loaded packages are contained. This tells you that you are currently inside of the conda virtual environment called base. Notice that at the beginning of the prompt, you see (base). Click on it to use conda for the first time:

Python modules works in anaconda prompt but not in terminal windows#

If you type Anaconda in your Windows search bar, you will see Anaconda Prompt come up. Before we set it up in Git Bash, it is useful to see what it looks like when you are using conda.Īnaconda and Miniconda come with a program called Anaconda Prompt on Windows, which is essentially just CMD terminal that is pre-set-up for conda. 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)

Python modules works in anaconda prompt but not in terminal download#

You can download the installer for Anaconda here.

Python modules works in anaconda prompt but not in terminal install#

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.

Python modules works in anaconda prompt but not in terminal full version#

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’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.