Python libraries and related software ------------------------------------- Fedora Scientific includes the widely used Python libraries and tools for scientific and numerical computing. Specifically, most of the core components of the `SciPy stack `__ (Numpy and Scipy libraries, Matplotlib, Sympy and IPython are included). With the exception of SymPy, you will find that the Python 3 equivalents are also installed. SciPy ===== The official documentation for the SciPy and Numpy libraries are `here `__. The `Python Scientific Lecture notes `__ may be useful too. You can seek help from the mailing lists for both SciPy and Numpy `here `__. SymPy ===== SymPy is a library for symbolic math. The official documentation for SymPy is `here `__. The user mailing list is `here `__. IPython ======= IPython is an enhanced interactive shell with various features to support rapid interactive computing. The IPython Notebook is a browser based environment which allows you to create rich JSON based documents embedding rich text, numerical calculations and inline graphs. See the IPython `homepage `__ to learn more. The official documentation is `here `__. There are also a number of `talks and presentations `__ and `videos and screencasts `__. The IPython mailing list is `here `__. Pandas ====== pandas is a Python library mostly useful for data analysis. The `cookbook `__ is a good place to start and the `Lessons for New pandas Users `__ look useful too. You can ask questions on `stackoverflow `__. Plotting ======== Matplotlib is the most feature-rich Python library for creating publication ready graphs and figures. The official documentation is `here `__ and the `example gallery `__ has a large number of examples of creating plots of all kinds using matplotlib. Parallel and Distributed Computing ================================== The Python standard library's multiprocessing module is useful for parallel programming. Fedora Scientific includes these additional libraries. The `MPI for Python `__ project provides Python bindings to the Message passing interface (MPI). The official documentation is `here `__ with the mailing list available `here `__. `Parallel Python `__ is another alternative made available. The official documentation is linked from the homepage. The `examples `__ should help you get an idea of what the programs look like and the kind of things you may be able to do. The forum for seeking help is `here `__. You can also use IPython for parallel computing, including using MPI with IPython. See the official documentation `here `__. Other libraries =============== The `NetworkX library `__ allows you to play with complex networks. Simple use cases include learning and teaching graphs. The official documentation is `here `__ and the project's mailing list is `here `__. .. note:: networkx is not included in Fedora 28, you can however install it using: ``dnf -y install python*-networkx``. Sage ==== .. note:: sagemath is not included in Fedora 28, you can however install it using: ``dnf -y install sagemath``. Sage provides an unified interface to "`100 open source packages `__". The videos `here `__ may help you get an overview of what sage is and what it can do for you. The official documentation is `here `__ and ways to get help are listed `here `__.