Python Programming 2

The Python Programming 2 course comprises sessions dealing with advanced object orientation, iterators and generators, comprehensions, decorators, multithreading, functional programming, web services, and unit testing.

The delegate will learn how to exploit advanced features of the Python language to build complex and efficient applications.

Exercises and examples are used throughout the course to give practical hands-on experience with the techniques covered.

The delegate will learn and acquire skills as follows:

• Encapsulating classes
• Exploiting polymorphism using inheritance and mixins
• Associating objects via composition and aggregation
• Working with static members
• Using iterators as an alternative to for
• Constructing custom iterators
• Constructing functions that yield generators
• Manipulating lists, sets, and dictionaries using comprehension
• Exploiting aspect oriented programming using decorators
• Writing multithreaded code
• Sharing data between threads
• Processing collections using lambdas
• Building RESTful clients
• Building RESTful APIs
• Testing units of code

The Python Programming 2 course is designed for existing Python developers who have a good grounding in the basics and want to exploit some of the advanced features of the language.

For the delegate for whom Python is their first programming language, we recommend taking the Python Programming 1 course first, then taking some time to practice the skills gained, before returning to take the Python Programming 2 course.

This course aims to provide the delegate with the knowledge to be able to interpret, write, and troubleshoot complex Python applications exploiting inheritance and polymorphism, mixins, composition and aggregation, iterators, generators, decorators, comprehension, concurrency, functional programming, and RESTful web services.

Delegates should be able to build Python applications that exploit all fundamental elements of the language including variables and expressions, conditions and loops, functions, objects, and lists.

This knowledge can be gained by attendance on the pre-requisite Python Programming 1 course.

• Python Programming 1

• Data Analysis Python

• Course technical content is subject to change without notice.
• Course content is structured as sessions, this does not strictly map to course timings. Concepts, content and practicals often span sessions.

Course Contents - DAY 1

Course Introduction

• Administration and Course Materials
• Course Structure and Agenda
• Delegate and Trainer Introductions

Session 1: ADVANCED OBJECT ORIENTATION

• The self Keyword
• Constructors and Destructors
• Encapsulation
• Inheritance
• Polymorphism
• Abstract Classes
• Multiple Inheritance and Mixins
• Composition and Aggregation
• Static Members

Session 2: ITERATORS & GENERATORS

• Iterables
• Iterators
• Custom Iterators
• Generators
• Yield vs. Return

Session 3: COMPREHENSIONS

• List Comprehension
• Set Comprehension
• The zip Function
• Dictionary Comprehension

Course Contents - DAY 2

Session 4: FUNCTIONAL PROGRAMMING

• Functional Programming
• Lambdas
• Immutability
• Mapping
• Filtering
• Reducing

Session 5: DECORATORS

• Decorators
• Decorator Functions
• Decorator Annotations
• Decorator Use Cases
• Labs

Session 6: MULTITHREADING

• Threads
• Multithreading
• Thread Construction
• Thread Execution
• Thread Sleep
• Joins
• Data Sharing
• Synchronisation
• Multithreading vs. Multiprocessing

Course Contents - DAY 3

Session 7: WEB SERVICES

• RESTful Web Services
• JSON Data
• CRUD and HTTP
• RESTful Clients
• RESTful APIs

Session 8: UNIT TESTING

• Unit Testing Terminology
• Test Classes
• Test Fixtures
• Test Cases
• Assertions
• Test Runners

The Python Programming 2 course comprises sessions dealing with advanced object orientation, iterators and generators, comprehensions, decorators, multithreading, functional programming, web services, and unit testing.

The delegate will learn how to exploit advanced features of the Python language to build complex and efficient applications.

Exercises and examples are used throughout the course to give practical hands-on experience with the techniques covered.

The delegate will learn and acquire skills as follows:

• Encapsulating classes
• Exploiting polymorphism using inheritance and mixins
• Associating objects via composition and aggregation
• Working with static members
• Using iterators as an alternative to for
• Constructing custom iterators
• Constructing functions that yield generators
• Manipulating lists, sets, and dictionaries using comprehension
• Exploiting aspect oriented programming using decorators
• Writing multithreaded code
• Sharing data between threads
• Processing collections using lambdas
• Building RESTful clients
• Building RESTful APIs
• Testing units of code

The Python Programming 2 course is designed for existing Python developers who have a good grounding in the basics and want to exploit some of the advanced features of the language.

For the delegate for whom Python is their first programming language, we recommend taking the Python Programming 1 course first, then taking some time to practice the skills gained, before returning to take the Python Programming 2 course.

This course aims to provide the delegate with the knowledge to be able to interpret, write, and troubleshoot complex Python applications exploiting inheritance and polymorphism, mixins, composition and aggregation, iterators, generators, decorators, comprehension, concurrency, functional programming, and RESTful web services.

Delegates should be able to build Python applications that exploit all fundamental elements of the language including variables and expressions, conditions and loops, functions, objects, and lists.

This knowledge can be gained by attendance on the pre-requisite Python Programming 1 course.

• Python Programming 1

• Data Analysis Python

• Course technical content is subject to change without notice.
• Course content is structured as sessions, this does not strictly map to course timings. Concepts, content and practicals often span sessions.

Course Contents - DAY 1

Course Introduction

• Administration and Course Materials
• Course Structure and Agenda
• Delegate and Trainer Introductions

Session 1: ADVANCED OBJECT ORIENTATION

• The self Keyword
• Constructors and Destructors
• Encapsulation
• Inheritance
• Polymorphism
• Abstract Classes
• Multiple Inheritance and Mixins
• Composition and Aggregation
• Static Members

Session 2: ITERATORS & GENERATORS

• Iterables
• Iterators
• Custom Iterators
• Generators
• Yield vs. Return

Session 3: COMPREHENSIONS

• List Comprehension
• Set Comprehension
• The zip Function
• Dictionary Comprehension

Course Contents - DAY 2

Session 4: FUNCTIONAL PROGRAMMING

• Functional Programming
• Lambdas
• Immutability
• Mapping
• Filtering
• Reducing

Session 5: DECORATORS

• Decorators
• Decorator Functions
• Decorator Annotations
• Decorator Use Cases
• Labs

Session 6: MULTITHREADING

• Threads
• Multithreading
• Thread Construction
• Thread Execution
• Thread Sleep
• Joins
• Data Sharing
• Synchronisation
• Multithreading vs. Multiprocessing

Course Contents - DAY 3

Session 7: WEB SERVICES

• RESTful Web Services
• JSON Data
• CRUD and HTTP
• RESTful Clients
• RESTful APIs

Session 8: UNIT TESTING

• Unit Testing Terminology
• Test Classes
• Test Fixtures
• Test Cases
• Assertions
• Test Runners