Best practices to overcome python's dynamic data type nature
theller at ctypes.org
Fri Feb 14 20:50:15 CET 2014
Am 14.02.2014 17:32, schrieb Ethan Furman:
> On 02/14/2014 08:10 AM, Sam wrote:
>> Dynamic data type has pros and cons. It is easier to program but
>> also easier to create bugs. What are the best practices to reduce
>> bugs caused by Python's dynamic data-type characteristic? Can the
>> experienced Python programmers here advise?
> Unit tests.
Lint-like tools - there are a few - also help to discover bugs,
even before running or testing the code. They also help in
other ways to write better code.
Myself I use the 'frosted' tool.
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