— Manual Installation

— Manual Installation#

Press here for Windows

Video Guide — description found below

Step 1: Install Miniconda#

  1. Before starting, you need to know which processor you have. If you do not know which you have, you can find out by pressing the logo at the top left of your screen. Go to About This Mac ‣ Chip/Processor. You need to know if it is an M1, M2, M3 or Intel processor.

    ../../_images/macos-fully-manual-processor.png

  2. Go to this website.

  3. Look for the title Latest Miniconda installer links. Here, you will see different installers, and you must download the correct one.

    • If you have an Intel processor, select Miniconda3 MacOS Intel x86 64-bit pkg.

    • If you have an M processor, select Miniconda3 MacOS Apple M1 64-bit pkg. Even if you have an M2 or M3.

    ../../_images/macos-fully-manual-miniconda.png

  4. Follow the instructions from the package.

    ../../_images/macos-fully-manual-miniconda-pkg.png

Step 2: Install Python#

  1. Search for Terminal using your Spotlight search (Command+Space) and press Enter.

    ../../_images/MacOS-SpotlightSearch-Terminal.png

  2. Run the following command in the Terminal by copying and pasting and pressing Enter:

    conda config --add channels conda-forge ; conda config --remove channels defaults ; conda config --set channel_priority strict

    Tip

    You can copy and paste code in the gray code blocks by hovering your mouse over the block and pressing the icon appearing in the top right.

  3. Copy and paste the following line of code into your terminal and press Enter:

    conda install python=3.11 dtumathtools pandas scipy statsmodels uncertainties -y

Step 3: Install Visual Studio Code#

After the installation is finished, you need to download Visual Studio Code.

  1. Go to this website.

  2. Click the download button and follow the instructions.

    ../../_images/macos-fully-manual-vsc-webpage.png

  3. Make sure that Visual Studio Code is under the applications folder in Finder.

    ../../_images/MacOS-finder-VSC.png

Step 4: Install extensions for Visual Studio Code#

  1. Open Visual Studio Code and select the Extensions extensions tab on the left.

    ../../_images/VSC-extensions.png

  2. Search for Python, and download the extension. Make sure that it is from Microsoft.

    ../../_images/macos-package-managed-python.png

  3. Hereafter search for Jupyter, and download that extension as well. This also needs to be from Microsoft.

    ../../_images/macos-package-managed-jupyter.png

Verification#

Verify that your installation is successful by following these steps:

  1. Search for Terminal using your Spotlight search (Command+Space) and press Enter. Verify that (base) is shown to the left of your username. Something like the image below:

    ../../_images/conda-check-base.gif

  2. Type idle3 in the Terminal, then press Enter. This should open a new window in which you can run Python code.

  3. Verify the IDLE window says Python 3.11.X in the top left (or in the range of 3.8 – 3.11).

  4. Copy the following Python code into the IDLE window, then press Enter:

    import dtumathtools, pandas, scipy, statsmodels, uncertainties

    Verify that a new line (>>>) appears without any text (indicating everything got imported correctly). See the below image for an example:

    ../../_images/MacOS-IDLE-import.png

If some steps result in a different than described above, please continue reading the Troubleshooting section.

Troubleshooting#

Only follow these troubleshooting steps if something in the previous section did not check out.

  • Ensure that Miniconda is installed, follow these instructions.

  • Ensure the packages are installed (if they are already installed, this will not do anything).

    Paste the following line of code to the Terminal and press Enter:

    conda install python=3.11 dtumathtools pandas scipy statsmodels uncertainties -y

  • Go back to the previous Verification section and check them again.

If you are still having trouble or have any questions, please do not hesitate to visit us during office hours or contact us via email or Discord. More information can be found on our homepage.

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