Exercises, examples and other material relating to training module Y111. This topic is presented on public courses
Learning to program in Python,
Python Programming
If a Python list were like a pencil, then a Python Tuple would be like a pen.
Most programming languages include structures in which you can hold a ... http://www.wellho.net/solutions/python-p ... onary.html [longer article] |
Python Programming - The fundamentals in depth, and an introduction to applications such as GUI design and Data Munging.
This course starts at the fundamentals ... http://www.wellho.net/course/ypfull.html [course] |
In Python, you can extend a list and you can append to it as well.
What's the difference? If you append a list to another list, you add the new list ... http://www.wellho.net/mouth/899_Pyth ... -list.html [short article] |
Learning to Program in Python - The fundamentals in depth, and an introduction to applications such as GUI design and Data Munging.
This course starts ... http://www.wellho.net/course/ylfull.html [course] |
I call my father Dad but everyone else calls him Norman . Same person, different name.
If Dad puts on the hat that he s got from the Christmas cracker ... http://www.wellho.net/solutions/python-c ... rence.html [longer article] |
How do we refer to the elements of a list? By index number, starting at zero and stopping one short of the number of elements in the list. So a 20 ... http://www.wellho.net/mouth/1304_Las ... -list.html [short article] |
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Python s list are collections of objects - in other words, they are rather like arrays in other languages ... http://www.wellho.net/solutions/python-u ... lback.html [longer article] |
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 courses
Learning to program in Python,
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 |
| fortan | A list of lists (a matrix?) |
| 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 |
| scenario | Encapsulating changes in a function |
| 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.
Assignments, shallow and deep copies.
Further operations on lists.
Sorting a list - natural order and user sorts.
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