*********
Afterword
*********
Why Python?
===========
Advantages of Python
--------------------
The primary implementation language of Sage is Python (see [Py]_),
though code that must be fast is implemented in a compiled
language. Python has several advantages:
- **Object saving** is well-supported in Python. There is
extensive support in Python for saving (nearly) arbitrary objects
to disk files or a database.
- Excellent support for **documentation** of functions and
packages in the source code, including automatic extraction of
documentation and automatic testing of all examples. The examples
are automatically tested regularly and guaranteed to work as
indicated.
- **Memory management**: Python now has a well thought out and
robust memory manager and garbage collector that correctly deals
with circular references, and allows for local variables in files.
- Python has **many packages** available now that might be of
great interest to users of Sage: numerical analysis and linear
algebra, 2D and 3D visualization, networking (for distributed
computations and servers, e.g., via twisted), database support,
etc.
- **Portability:** Python is easy to compile from source on most
platforms in minutes.
- **Exception handling:** Python has a sophisticated and well
thought out system of exception handling, whereby programs
gracefully recover even if errors occur in code they call.
- **Debugger:** Python includes a debugger, so when code fails for
some reason, the user can access an extensive stack trace, inspect
the state of all relevant variables, and move up and down the
stack.
- **Profiler:** There is a Python profiler, which runs code and
creates a report detailing how many times and for how long each
function was called.
- **A Language:** Instead of writing a **new language** for
mathematics as was done for Magma, Maple, Mathematica, Matlab,
GP/PARI, GAP, Macaulay 2, Simath, etc., we use the Python language,
which is a popular computer language that is being actively
developed and optimized by hundreds of skilled software engineers.
Python is a major open-source success story with a mature
development process (see [PyDev]_).
.. _section-mathannoy:
The Pre-Parser: Differences between Sage and Python
---------------------------------------------------
Some mathematical aspects of Python can be confusing, so Sage
behaves differently from Python in several ways.
- **Notation for exponentiation:** ``**`` versus ``^``. In Python,
``^`` means "xor", not exponentiation, so in Python we have
.. CODE-BLOCK:: pycon
>>> 2^8
10
>>> 3^2
1
>>> 3**2
9
This use of ``^`` may appear odd, and it is inefficient for pure
math research, since the "exclusive or" function is rarely used.
For convenience, Sage pre-parses all command lines before passing
them to Python, replacing instances of ``^`` that are not in
strings with ``**``:
::
sage: 2^8
256
sage: 3^2
9
sage: "3^2"
'3^2'
The bitwise xor operator in Sage is ``^^``. This also works for
the inplace operator ``^^=``:
::
sage: 3^^2
1
sage: a = 2
sage: a ^^= 8
sage: a
10
- **Integer division:** The Python expression ``2/3`` does not
behave the way mathematicians might expect: ``2/3`` returns the
floating point number ``0.6666...``. Note that ``//``
is the Euclidean division and ``2//3`` returns ``0``.
We deal with this in the Sage interpreter, by wrapping integer
literals in ``Integer( )`` and making division a constructor for rational
numbers. For example:
::
sage: 2/3
2/3
sage: (2/3).parent()
Rational Field
sage: 2//3
0
- **Long integers:** Python has native support for arbitrary
precision integers, in addition to C-int's. These are significantly
slower than what GMP provides. Sage implements arbitrary
precision integers using the GMP C-library.
Rather than modifying the Python interpreter (as some people have
done for internal projects), we use the Python language exactly as
is, and write a pre-parser for IPython so that the command line
behavior of IPython is what a mathematician expects. This means any
existing Python code can be used in Sage. However, one must still obey
the standard Python rules when writing packages that will be
imported into Sage.
(To install a Python library, for example that you have found on
the Internet, follow the directions, but run ``sage -python``
instead of ``python``. Very often this means typing
``sage -python setup.py install``.)
I would like to contribute somehow. How can I?
==============================================
If you would like to contribute to Sage, your help will be greatly
appreciated! It can range from substantial code contributions to
adding to the Sage documentation to reporting bugs.
Browse the Sage web page for information for developers; among
other things, you can find a long list of Sage-related projects
ordered by priority and category. The
`Sage Developer's Guide <http://doc.sagemath.org/html/en/developer/>`_
has helpful information, as well, and you can also check out the
``sage-devel`` Google group.
How do I reference Sage?
========================
If you write a paper using Sage, please reference computations done
with Sage by including
.. CODE-BLOCK:: text
[Sage] SageMath, the Sage Mathematics Software System (Version 8.7),
The Sage Developers, 2019, https://www.sagemath.org.
in your bibliography (replacing 8.7 with the version of Sage you
used). Moreover, please attempt to track down what components of Sage
are used for your computation, e.g., PARI?, GAP?, Singular? Maxima?
and also cite those systems. If you are in doubt about what
software your computation uses, feel free to ask on the
``sage-devel`` Google group. See :ref:`section-univariate` for further
discussion of this point.
------------
If you happen to have just read straight through this tutorial, and
have some sense of how long it took you, please let us know on the
``sage-devel`` Google group.
Have fun with Sage!
