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Merge pull request #121 from guibog/master
Some more about style and web dev
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@@ -2,6 +2,9 @@
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Web Applications
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================
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As a powerful scripting language adapted to both fast prototyping
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and bigger projects, Python is widely used in Web applications
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development.
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Context
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:::::::
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@@ -203,6 +206,44 @@ Gondor publishes guides to deploying `Django projects
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<https://gondor.io/support/setting-up-pinax/>`_ on their platform.
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Templating
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::::::::::
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Most WSGI applications are responding to HTTP requests to serve
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content in HTML or other markup languages. Instead of generating directly
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textual content from Python, the concept of separation of concerns
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advise us to use templates. A template engine manage a suite of
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template files, with a system of hierarchy and inclusion to
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avoid unnecessary repetition, and is in charge of rendering
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(generating) the actual content, filling the static content
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of the templates with the dynamic content generated by the
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application.
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As template files are
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sometime written by designers or front-end developpers,
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it can be difficult to handle increasing complexity.
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Some general good pratices apply to the part of the
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application passing dynamic content to the template engine,
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and to the templates themselves.
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- Template files should be passed only the dynamic
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content that is needed for rendering the template. Avoid
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to be tempted to pass additional content "just in case":
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it is easier to add some missing variable when needed than to remove
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a likely unused variable later.
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- Many template engine allow for complex statements
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or assignments in the template itself, and many
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allow some Python code to be evaluated in the
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templates. This convenience can lead to uncontrolled
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increase in complexity, and often harder to find bugs.
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- It is often possible or necessary to mix javascript templates with
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HTML templates. A sane approach to this design is to isolate
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the parts where the HTML template passes some variable content
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to the javascript code.
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.. rubric:: References
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.. [1] `The mod_python project is now officially dead <http://blog.dscpl.com.au/2010/06/modpython-project-is-now-officially.html>`_
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@@ -1,6 +1,133 @@
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Code Style
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==========
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If you ask to Python programmers what they like the most in Python, they will
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often say it is its high readability. Indeed, a high level of readability of
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the code is at the heart of the design of the Python language, following the
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recognised fact that code is read much more often than it is written.
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One reason for Python code to be easily read and understood is its relatively
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complete set of Code Style guidelines and "Pythonic" idioms.
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On the opposite, when a veteran Python developper (a Pythonistas) point to some
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parts of a code and say it is not "Pythonic", it usually means that these lines
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of code do not follow the common guidelines and fail to express the intent is
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what is considered the best (hear: most readable) way.
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On some border cases, no best way has been agreed upon on how to express
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an intent in Python code, but these cases are rare.
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General concepts
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----------------
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Explicit code
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~~~~~~~~~~~~~
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While any kind of black magic is possible with Python, the
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most explicit and straightforward manner is preferred.
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**Bad**
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.. code-block:: python
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def make_complex(\*args):
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x, y = args
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return dict(\**locals())
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**Good**
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.. code-block:: python
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def make_complex(x, y):
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return {'x': x, 'y': y}
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In the good code above, x and y are explicitely received from
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the caller, and an explicit dictionary is returned. The developer
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using this function knows exactly what to do by reading the
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first and last lines, which is not the case with the bad example.
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One statement per line
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~~~~~~~~~~~~~~~~~~~~~~
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While some compound statements such as list comprehensions are
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allowed and appreciated for their brevity and their expressivity,
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it is bad practice to have two disjoint statements on the same line.
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**Bad**
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.. code-block:: python
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print 'one'; print 'two'
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if x == 1: print 'one'
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if <complex comparison> and <other complex comparison>:
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# do something
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**Good**
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.. code-block:: python
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print 'one'
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print 'two'
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if x == 1:
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print 'one'
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cond1 = <complex comparison>
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cond2 = <other complex comparison>
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if cond1 and cond2:
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# do something
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Avoid the magical wand
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~~~~~~~~~~~~~~~~~~~~~~
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A powerful tool for hackers, Python comes with a very rich set of hooks and
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tools allowing to do almost any kind of tricky tricks. For instance, it is
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possible to change how objects are created and instanciated, it is possible to
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change how the Python interpreter imports modules, it is even possible (and
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recommended if needed) to embed C routines in Python.
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However, all these options have many drawbacks and it is always better to use
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the most straightforward way to achieve your goal. The main drawback is that
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readability suffers deeply from them. Many code analysis tools, such as pylint
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or pyflakes, will be unable to parse this "magic" code.
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We consider that a Python developer should know about these nearly infinite
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possibilities, because it grows the confidence that no hard-wall will be on the
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way. However, knowing how to use them and particularly when **not** to use
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them is the most important.
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Like a Kungfu master, a pythonistas knows how to kill with a single finger, and
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never do it.
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We are all consenting adults
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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As seen above, Python allows many tricks, and some of them are potentially
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dangerous. A good example is that any client code can override an object's
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properties and methods: There is no "private" keyword in Python. This
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philosophy, very different from highly defensive languages like Java, which
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give a lot of mechanism to prevent any misuse, is expressed by the saying: "We
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are consenting adults".
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This doesn't mean that, for example, no properties are considered private, and
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that no proper encapsulation is possible in Python. But, instead of relying on
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concrete walls erected by the developers between their code and other's, the
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Python community prefers to rely on a set of convention indicating that these
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elements should not be accessed directly.
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The main convention for private properties and implementation details is to
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prefix all "internals" with an underscore. If the client code breaks this rule
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and access to these marked elements, any misbehavior or problems encountered if
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the code is modified is the responsibility of the client code.
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Using this convention generously is encouraged: any method or property that is
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not intended to be used by client code should be prefixed with an underscore.
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This will guarantee a better separation of duties and easier modifications of
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existing code, and it will always be possible to publicize a private property,
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while privatising a public property might be a much harder operation.
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Idioms
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------
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