Python for Developers training course

Introduction     

History, uses, typing system (dynamic/strong), execution model

Data Types         

Integers, real numbers, strings, …

Collections        

Lists, tuples, dictionaries, sets, …

Flow Control      

If, while, for, iterators

Functions            

Parameters, return values, variable positional/keyword arguments, defaults

Modules             

Attributes, functions, classes, namespaces

Resources          

Built-in functions, standard library

Exceptions         

Handling, raising, custom exceptions, safe release of resources

File handling    

Reading/writing, handling text/binary

TDD                       

Test driven development with assert, unit testing

Reg. Exp.            

Regular Expressions for searching/parsing/replacing text

Classes                

Creating objects, methods, attributes, static methods

Using classes    

Inheritance, polymorphism

Misc Libraries   

Django, Selenium. …

Iterators

For cleaner design

Generators 

For more efficient applications

Functional programming

For more compact code

Comprehensions 

For concise, readable code

Operator overloading

For elegant solutions

Decorators

For Aspect Oriented Programming  e.g. for tracing, authentication

Context managers

For safe release of resources

Data access control

For safer data access

Concurrency 

For efficiency

Profiling 

For identification of bottlenecks

Unit testing 

For more reliable code