Installing additional packages¶
Installing additional (scientific) packages is generally very easy. Note that some packages may not be suitable for Python 3. Such a package is probably not maintained very well, so you may want to consider an alternative. Try in this order to install package “xx”:
Install using conda¶
conda install xx
conda command installs binary packages, and is
therefore the easiest solution. However, a package must have been pre-build
in order for this to work. Therefore it may not work for less common packages.
If the package is not available on the main channel, you can search on http://anaconda.org
for available packages. If you find that “John” has build the package
that you need, use
conda install -c john xx.
Install using Pip¶
pip install xx
pip command downloads a package from the
Python package index and installs it from source.
Probably about 95% of all packages are listed on Pypi. However, if the package
is not pure Python (i.e. it needs to be compiled) this will probably
not work unless you’re using Linux.
If you are on Windows, you can visit
Gohlke’s collection of Python packages .
Download the required
.whl file and use
pip install location/to/xxx.whl.
You can always ssk maintainers of the package how to install it, or ask in Pyzo mailing list.
- The scipy stack:
conda install numpy scipy, matplotlib, pandas, sympy
- Other usefull tools:
conda install scikit-image scikit-learn
- 3D visualization:
pip install visvis
- Reading images, volumes and movies:
pip install imageio