in the below example, I typed cd De to get expanded to cd Desktop automagically. Note that the terminal supports Tab completion, i.e. So, in the terminal, using the cd command, navigate to the directory where the files are located. In the following we assume that the downloaded course files are extracted to the Windows Desktop. In the Navigator click on Environments on the left and choose Create in the bottom:Īs the environment name we choose dspcourse and we click Create in the dialog:Īfter the environment is created, we will run a Terminal within the environment:Ī windows command line terminal starts, indicating (dspcourse) at the prompt, which means that we are currently working in the dspcourse Python environment. Open the Windows Start menu and start thp Anaconda Navigator. In the following screens, you can safely keep the defaults:Īfter installing git, we can now setup the Python Environment. Go to the git homepage and download the installer. If the setup asks to install Visual Studio Code, you can safely skip this installation step, as we do not need the VS Code editor.Īfter Anaconda is installed, we are going to install git which we need to download the tikzmagic extension. After the file is downloaded, start the installation:Īnswer yes to register Anaconda as the system Python installation: Any 64bit Python above 3.3 will be fine running the course. This course is tested with Anaconda 5.2 containing Python 3.6 64bit. We start by downloading the Anaconda Python Distribution. Therefore it is recommended to stick with Python 3.6 for now, see here on how to install an older version of Anaconda that contains Python 3.6 instead of 3.7. Please note: With the recent Python 3.7 for Windows, Jupyter cells cannot be interrupted when running (see here and here). Setting up the Environment on Windows 10.But, in this case we assume you will be able to setup your environment on your own. However, if you prefer another distribution, the course will still work. Here, we use the Anaconda Python Distribution due to its simplicity. Tl dr: Create a Python3 virtual environment and run pip install requirements_ofdm.txt from the code subdirectory, followed by jupyter notebook. If you are familiar with Python, the following tl dr might be enough: This page describes the steps necessary to setup the Python and Jupyter environment necessary to work with my courses. Setting up the Python Environment for Courses from
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