Home Accessibility Courses Twitter The Mouth Facebook Resources Site Map About Us Contact
Retiring, March 2020 - sorry, you have missed our final public course.
The Coronavirus situation has lead us to suspend public training - which was on the cards anyway, with no plans to resume

Please ask about private 'maintenance' training for Python, Tcl, Perl, PHP, Lua, etc
Happily continuing private consultancy / programming work

Python training news
Next Public Course Dates
Learning to program in Python Mon, 20 Jul 20 5 days
Python Programming Tue, 21 Jul 20 4 days

Link on individual courses for more details and further dates.

We can also run a private tailored course at our centre or a private course at your office.
Intermediate Python - training course
Getting the very best of Python for the self-taught and relative newcomer
Duration: 3 days • Price: £950.00 (VAT free from January 2019), • Venue: Melksham, Wiltshire

Usually scheduled to meet customer needs or run as a private course. Please email for details
The first morning of this course is "fast start Python" - dotting i-s and crossing t-s for delegates who may already be using certain features (but aren't sure why!) and going through underlying paradigms which infuse Python through and through and make it such a great language. So you'll be clear on muttable v immutable, assign v shallow copy, dicts v lists v tuples, and when to use which. And in the afternoon, we'll similarly cover the fundamentals of object orientation the Python way. Even on the first day, robust design, commenting, documentation, re-usablility and testing for an integrated part of the philosophy we teach.

The course then carries on to cover more advanced object features, such as namespaces, decorators, multiple inheritance, mixins, modules and packages, attributes, autoloading and operator overriding, with practical examples to show how you would use these features in a real world application. Design techniques and design patterns - although a general OO topic - are covered with specific attention to how they're best implemented in Python to make for quick to write, easy to test, straightforward to maintain and natural to reuse code.

Iterators and Generators, Regular Expressions, List Comprehensions, Exceptions, Caching, recursion and memoisation ... and much more. You'll learn how to make power use of Python - not only for short programs and small data sets, but also as a part of bigger systems and for handling significant data effciently. We'll look at Python modules that you'll make common use of, including threading, os, os.path and unittest and others, and at data access including XML, SQL, JSON and other data store interfaces.
Some prior programming experience in Python. If you haven't programmed before, please book on our Learning to program in Python course instead, and if you have programmed before but in another language, take a look at Python Programming.

Getting the most from your Well House Consultants course [Link]
Python is powerful, portable, object-oriented open source programming language for writing stand alone programs, quick scripts, and prototypes for large applications.
Course Summary: [Link]
Python - Fast Start (module Y199) What is Python, versions, implementations. Code structure and Fundamentals. Conditionals and loops. Introduction to lists and Tuples. Everything's an object.
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.
Object Orientation: Individual Objects (module Q906) History - unstructured and structured code. Introduction to object oriented programming. Classes and methods. Static and nonstatic. Instances, constructors and destructors. Overloading. Accessing members of a class. Loading and using classes. Direct access to variables. Encouraging class use.
Object Orientation: Composite Objects (module Q909) Review of object orientation basics. Inheritance. Base classes and subclasses. Overriding and abstract classes. Polymorphism. Inheritance structure. Multiple inheritance and alternatives. Class structure. Hierarchy and visibility. A note on design.
Object Oriented Python (module Y106) Class statement. Attributes of an object and class. Creating instances with __init__. self. Bound and Unbound methods. Writing methods to reference object data. Method and variable naming conventions.
Objects - Intermediate (module Y112) Inheritance. Properties. Special methods. Metaclasses. Pickling and shelving objects. Old Style Objects (prior to Python 2.2)
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.
Object Orientation: Design Techniques (module Q907) Overview - why design? Some basics. OOD, OOA, OOP. Waterfall, spiral and Incremental models. Informal techniques. Micro, macro and specification. Formal methods. Booch, Yourdon and the OO design wars. Unified Modeling Language (UML). Views, diagrams, model elements and general mechanisms. Extending UML - stereotypes, tagged values and constraints. Functions of tools such as Rational Rose. Drawing support, model repository, navigation, code generation. Configuration, version control and associated tools.
Object Orientation: Design Patterns (module Q908) What are design patterns? Attributes, properties and accessors. Factory methods, Comparators, etc. Operator Overloading. Printing and serialising. Utility classes.
String Handling (module Y108) Methods on String Objects. String Formatting. Regular Expressions and the re module. Regular Expression and Match Objects.
What are Regular Expressions? (module Q801) What are Regular Expressions? Why use regular expressions? What are the alternatives?
Regular Expression Elements (module Q802) Literals - Alphanumeric and special characters. Anchors and other Assertions. Character groups using [ ... ] Extended character groups - the two alternative styles. Counts. Bracketing groups and alternation
Exceptions (module Y109) Concept of exceptions. Try, except, else and finally. Types of exceptions. Exception propagation. raise. Exception objects.
More on Collections and Sequences (module Y111) Complex structures. Copy and deepcopy. More methods on lists. User defined sorting. Combining copying and comparing dictionaries. Unicode handling.
Additional Python Facilities (module Y115) Is Python compiled or interpreted?. Regular expressions in Python. Elements of a Python-style regular expression. Anchors (Assertions). Literal characters. Character groups. Counts. Alternation. Grouping. Modifiers. Some examples. 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.
Python 3 - What is new, what's changed and why (module Y300) Introduction. Why Python 3? Print as a function. Input changes. Range and other iterators (map, etc). nonlocal (compared to global). New style classes. Strings, bytes, unicode and string formatting. Exceptions. Other changes. A note on Decorators. Versions 2.6 and 2.7 3.0 to 3.3 and 2to3. A Strategy for upgrade.
Threads - What why and how (module Y302) Introduction. An application where threads would help. Using Python threads. How does it work? Looking ahead - more on threads. About the ping responses.
Python & XML (module Y151) Running Python on your Web Server. Zope, Jython, Tkinter, XML, Database access. Commonly used modules such as PyUnit. Accessing Microsoft objects / ActivePython. The Vaults of Parnassus, news groups and other sources.
GUIs and Graphics in Python (module Y203) GUIs - TkInter, pyGTK, wxPython and Python Qt - overview and comparison. Graphics - openGL, pylab and matplotlib - overview and comparison. Graphing tools in Python - overview and comparison. Python via HTML - cgi, Zope, Plone, Django - overview and comparison.
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.

Graham Ellis - graham@wellho.net [email]  [about Graham]
Melksham, Wiltshire
Public courses run at Well House Manor - our own purpose fitted training centre and business hotel / conference centre in Melksham.
• Download Melksham Map - [pdf file (750k)] • Google Map - [Link]
1 student   2 students   3 students   For 4 or more students
from the same company,
please consider a private course.
 With hotel room
£1160.00 (No VAT from 1.2019)
Without room
£950.00 (No VAT from 1.2019) 
 With hotel rooms
£2270.00 (No VAT from 1.2019)
Without rooms
£1850.00 (No VAT from 1.2019) 
 With hotel rooms
£3380.00 (No VAT from 1.2019)
Without rooms
£2750.00 (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.
If you're looking to write extensive GUIs using Python, make heavy use of it on the web, or embed it within your own application, please ask us to run a "Python Extra" day for you; Python Extra days allow us to give greater coverage to more specialist topics without extending the basic course.

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.

Certification? - [Link]
Public (scheduled) courses -- http://www.wellho.net/course/ctc.html
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.
Terms and Conditions -- http://www.wellho.net/net/terms.html
Covering topics such as delegate substitution, payment, cancellation policy and other matters.

You can Add a comment or ranking to this page

© WELL HOUSE CONSULTANTS LTD., 2020: 48 Spa Road • Melksham, Wiltshire • United Kingdom • SN12 7NY
PH: 01225 708225 • EMAIL: info@wellho.net • WEB: http://www.wellho.net • SKYPE: wellho

PAGE: http://www.wellho.net/course/yifull.html • PAGE BUILT: Fri Jan 3 07:30:06 2020 • BUILD SYSTEM: WomanWithCat