This is a custom course that will be tailored to your trainee's needs
and based on their current knowledge as a starting point.
|Introduction to Python (module Y101) What is Python?.
Running Python from the command line.
Running Python from a file - "Hello Python World".
Obtaining and installing Python.
Downloading from www.python.org.
Downloading from ActiveState.
Downloading from Plone.
What is Python good for?.
Where did the Python name come from?.
|Python - Fundamentals (module Y102) Variables, assignments and data types.
Operators, expressions and delimiters.
Coercion and conversion.
Screen output, keyboard input.
The print statement.
Commenting your program.
The #! line.
|Conditionals and Loops (module Y103) Conditional statement - if.
blocks in Python.
else and elif.
Conditions, and what is truth.
The while loop.
break and continue; else clauses.
|Python - using functions, objects and modules. (module Y200) Built in functions.
Passing parameters in and out.
Methods on built in data types.
Loading modules - from v import.
Calling functions and methods from modules.
Learning about methods in a standard module.
A caution on globals and statics.
|Lists and Tuples (module Y104) Why do we have collections?.
The for loop.
Working with lists and tuples.
More ways to reference elements of a list or tuple.
copying a list.
Concatenating and repeating lists and tuples.
Comparing lists and the in operator.
converting to a list or tuple.
A real live program.
Lists of lists.
|Dictionaries (module Y107) Why do we need dictionaries?.
Defining and using a dictionary.
Hashing and Sorting.
Checking whether an itemÕs in a dictionary.
Using other objects as dictionary keys.
|Functions, Modules and Packages (module Y105) Why use functions.
A first function.
A first module.
More flexibility in calling functions.
Doc strings and function attributes.
Defining your own attributes.
Advanced function capabilities and recent additions.
|Object Orientation: Individual Objects (module Q906) A History.
Subroutines, functions, procedures.
Object Oriented Programming.
A note on political, or religious issues.
Introduction to OO Programming.
Static and Nonstatic.
Accessing members of a class.
Direct access to variables.
Encouraging class use.
|Object Oriented Python (module Y106) What is Object Orientation and why use it?.
Using Python objects.
Creating your own classes in Python.
Method and variable naming standards.
Including a test harness in your class definition.
|Object Orientation: Composite Objects (module Q909) Revision.
Base classes and subclasses.
|Objects - Intermediate (module Y112) A first example of inheritance in Python.
A further example.
Classic and new-style classes.
Attributes and properties.
Finding out about the class of an object.
A practical example of overloading operators.
|Object Orientation: Design Patterns (module Q908) What are design patterns?
Attributes, properties and accessors.
Factory methods, Comparators, etc.
Printing and serialising.
|Object Orientation: Design Techniques (module Q907) OO Design - some basics.
Start with a good understanding of OO.
And also a good understanding of the buzz words and design cycle..
Micro or Macro?.
Specifying classes and methods.
Specifying extended classes.
Clusters of classes.
Generalise it out.
Programming and method standards.
Unified Modelling Language (UML).
Project management and design issues.
|Applying OO design techniques and best practise (module Y116) Review of OO design techniques.
Review of OO facilities in Python.
Naming conventions in Python.
How to arrange your classes, modules and packages.
Documentation and code control.
|Additional Python Facilities (module Y115) Is Python compiled or interpreted?.
Regular expressions in Python.
Elements of a Python-style regular expression.
Methods available on Python regular expressions.
Some more examples and features of regular expressions.
Some popular regular expressions.
Running Python and system commands from within.
Handling dates and times in Python.
Pickling and shelving.
Accessing the environment from Python.
Talking to SQL databases from Python.
|String Handling (module Y108) Defining strings.
Strings as sequences.
Finding available methods, and documentation.
Splitting and joining strings.
Finding out what methods are available.
Formatting strings in Python.
|Exceptions (module Y109) What is an exception?.
Using try and except.
Types of exceptions.
Running mandatory cleanup code.
Raising an exception.
Practical examples - exceptions in use.
Simple application - generate a list of prime numbers.
Code testing and optimisation.
|File Handling (module Y110) Opening and reading from files.
File system Checks.
Reading a web page.
|Python 3 - What is new, what's changed and why (module Y300) Introduction.
Why Python 3?
Print as a function.
Range and other iterators (map, etc).
nonlocal (compared to global).
New style classes.
Strings, bytes, unicode and string formatting.
A note on Decorators.
Versions 2.6 and 2.7 3.0 to 3.3 and 2to3.
A Strategy for upgrade.
|numpy, scipy and matplotlib (module Y118) Introduction to numpy, scipy and matplotib.
Sourcing and installing numpy.
Data type wrappers - how and why.
N-Dimensional array objects.
Saving and loading - files, databases and broadcasting.
Sourcing and installing scipy.
Linear Algebra and Fourier Transform.
Random Number capabilities.
Ordinary Differential Equations (ODEs).
Sourcing and installing matplotlib.
First steps in data graphing with matplotlib.
Tuning your graphs.
Multiple plots, graphs, axes and more.
Pie, Polar, Histogram, Scatter plots, etc.
The artist around the graph.
Using matplotlib with numpy.
Using matplotlib with wxpython.
|More on Collections and Sequences (module Y111) Complex Structures.
Assignments, shallow and deep copies.
Further operations on lists.
Sorting a list - natural order and user sorts.
|Code testing, patterns, profiles and optimisation. (module Y212) Decorators.
Factories and Comparators.
Unittest and Doctest.
|Optimising Python (module Y305) The timeit Module.
Optimizing Regular Expressions and Strings.
Optimizing Dictionary Lookups and List Operations.
Caching and saving recalculations within Python classes.
Building Tuned Pythons.
, England. A taxi transfer can be arranged if you'll be
- our own
purpose fitted training centre and business hotel / conference centre in
|| 2 students
|| 3 students
|| For 4 or more students
from the same company,
please consider a private course.
| With hotel room
($5916.00 inc VAT) or
£3010.00 (No VAT from 1.2019)
($4860.00 inc VAT) or
£2450.00 (No VAT from 1.2019)
| With hotel rooms
($11772.00 inc VAT) or
£5970.00 (No VAT from 1.2019)
($9660.00 inc VAT) or
£4850.00 (No VAT from 1.2019)
| With hotel rooms
($17628.00 inc VAT) or
£8930.00 (No VAT from 1.2019)
($14460.00 inc VAT) or
£7250.00 (No VAT from 1.2019)
• Multiple discount applies to bookings for second and subsequent delegates on the same running of a course, and on same order.
• Hotel rooms are available for arrival the night before the course starts, for departure after the end of the course on the last day.
We offer further customer training or public courses that may be applicable for
some or all of your trainees
Upon completion of your course, you'll have online access to the source code of
all the examples from the course, and you'll have access to the
"Ask the Tutor" forum
where you can raise questions. We also encourage you to email the tutor, and
to visit us again to use our library as appropriate.
For more information about our public courses in general, such as class size, course times, materials provided, special requests, accommodation list, finding our centre, etc.
Covering topics such as delegate substitution, payment, cancellation policy and other matters.