Advanced Installation (Linux) ------------------------------ This is a quick guide on how to install AvaFrame and the required dependencies on your machine. AvaFrame is developed on **Linux machines** (Ubuntu/Manjaro/Arch) with recent Python versions > 3.8. These instructions assume you are familiar with working in a terminal. This guide is described for **Linux**. For *Windows*, see :ref:`developinstallwin:Advanced Installation (Windows)`. Requirements ^^^^^^^^^^^^ Install `git `_ and python, we suggest to work with miniconda/anaconda. For installation see `miniconda `_ or `anaconda `_. Some operating systems might require the python headers (e.g python-dev on ubuntu) or other supporting libraries/packages (e.g. Visual Studio on Windows needs the c++ compiler components). Setup AvaFrame ^^^^^^^^^^^^^^ Create a new `conda environment `_ for AvaFrame, activate it and install pip, numpy and cython in this environment:: conda create --name avaframe_env conda activate avaframe_env conda install pip numpy cython Clone the AvaFrame repository (in a directory of your choice: [YOURDIR]) and change into it:: cd [YOURDIR] git clone https://github.com/avaframe/AvaFrame.git cd AvaFrame Compile the cython com1DFA part. You might also have to install a c-compiler (gcc or similar) through your systems package manager:: python setup.py build_ext --inplace .. Warning:: You will have to do this compilation every time something changes in the cython code. We also suggest to do this everytime updates from the repositories are pulled. Install avaframe and its requirements by **either** doing:: pip install -e . or if this fails (see `github issue 986 `_), do:: python setup.py develop This installs avaframe in editable mode, so every time you import avaframe the current (local) version will be used. Test it by starting ``python`` and do an ``import avaframe``. If no error comes up, you are good to go. Head over to :ref:`gettingstarted:First run` for the next steps.