Lists, tuples and dictionaries are fundamental building blocks of Python. This module takes a look at some of the more advanced features of the use of these collection objects, assuming a prior knowledge of all the fundamental aspects of Python.
This topic is presented on public course
Python Programming
Examples from our training material
| 2dli.py | List - multiple dimensions |
| coplist.py | List - copy through assignment |
| copy_levels | alias, shallow copy and deep copy comparison |
| cuber | using a callback to map a list |
| deepcop.py | List - deep copy |
| dsd | Python equivalent of Schwartzian transform |
| furlist.py | Further methods that run on lists - looking things up |
| indemo | Sorting a dictionary? |
| lirev.py | List - revision |
| namsort.py | Natural sorting of a list of strings |
| p162 | Sample answer - module exercise |
| sal | Sorting in a non-standard way |
| shallowcop.py | List - shallow copy |
| slices | list slices - revision |
| unamsort.py | Sorting of a list of strings - user routine ignoring case |
Pictures
To teach Python in Manchester
Background information
Some modules are
available for download as a sample of our material or under an
Open Training Notes License for free download from
http://www.training-notes.co.uk.
Topics covered in this module
Complex structures.
Copy and deepcopy.
More methods on lists.
User defined sorting.
Combining copying and comparing dictionaries.
Unicode handling.
Complete learning
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Well House Consultants specialise in training courses in
Python,
Perl,
PHP, and
MySQL. We run
Private Courses throughout the UK (and beyond for longer courses), and
Public Courses at our training centre in Melksham, Wiltshire, England.
It's surprisingly cost effective to come on our public courses -
even if
you live in a different
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We have a technical library of over 600 books on the subjects on which we teach.
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available is the Opentalk
Forum for discussion of technical questions.