Exercises, examples and other material relating to training module Y199. This topic is presented on public courses %dj%, Intermediate Python
For experienced programmers (but new to Python) and for
delegates self-taught in Python too, this module whisks the
delegates through the underlying structure of common constructs
in the language, shows them the "Python way", and picks up on
any fundamental gaps in their initial knowledge.
Related technical and longer articlesPython Fast Start
|Articles and tips on this subject||updated|
|3519||Python - current versions and implementations (CPython, Jython, IronPython etc)|
Python originated in 1988, I am told.
Think back to decisions YOU made in 1988, and they may have been good ones at the time. But it's likely that a good decision such as "which camera would I buy" made NOW would come up with the same model. And it's the same thing with programming languages ...
|2017||Python - a truly dynamic language|
In Python everything is an object - and that includes functions which are objects which contain blocks of code. And this means that you can define different functions of the same name depending on a condition, and you can replace a function with another one too, if you want to.
This really is valid:
Examples from our training material
|fast1|| Fundamentals of Python - variables and output|
|fast2|| Fast start example 2 - inputs and strings|
|for1|| for loop|
|if1|| If, elif and else|
|kwlist|| What are the keywords in Python?|
|requests.xyz|| Sample data file used in source examples|
|tr3.py|| base and subclasses, decorator, data from file, factory|
|while1|| While loop|
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
What is Python, versions, implementations.
Code structure and Fundamentals.
Conditionals and loops.
Introduction to lists and Tuples.
Everything's an object.
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