Preferred method of contact:

Advanced Python Training: Best Practices and Design Patterns

COURSE TYPE

Advanced

Course Number

1906

Duration

4 Days

PDF Add to WishList

Expand upon your fundamental Python programming skills to build reliable and stable applications. In this training course, you learn to implement Gang of Four (GoF) design patterns in order to solve commonly recurring, real-world software design programs, thereby avoiding pitfalls and greatly improving the effectiveness of your programming efforts.

You Will Learn How To

  • Employ design patterns and best practices in Python applications
  • Unit test, debug, and install Python programs and modules
  • Profile program execution and improve performance
  • Apply advanced Python programming features for efficient, reliable, maintainable programs

Important Course Information

Requirements:

  • Working knowledge of Python programming to the level of:
    • Course 1905, Python Programming Introduction, or at least three to six months of Python programming experience

Software:

  • Concepts taught are applicable to all Linux distributions

Course Outline

  • Object-Oriented Programming in Python
  • Extending classes to define subclasses
  • Inheriting from multiple superclasses and mix-in classes
  • Adding properties to a class
  • Defining abstract base classes
  • Exploring Python Features

Writing "Pythonic" code

  • Customizing iteration and indexing with "magic" methods
  • Modifying code dynamically with monkey patching

Handling Exceptions

  • Raising user-defined exceptions
  • Reducing code complexity with context managers and the "with" statement
  • Verifying Code and Unit Testing

Testing best practices

  • Developing and running Python unit tests
  • Simplifying automated testing with the Nose package

Verifying code behavior

  • Mocking dependent objects with the Mock package
  • Asserting correct code behavior with MagicMock
  • Detecting Errors and Debugging Techniques

Identifying errors

  • Logging messages for auditing and debugging
  • Checking your code for potential bugs with Pylint

Debugging Python code

  • Extracting error information from exceptions
  • Tracing program execution with the PyCharm IDE
  • Implementing Python Design Patterns

Structural patterns

  • Implementing the Decorator pattern using @decorator
  • Controlling access to an object with the Proxy pattern

Behavioral patterns

  • Utilizing the Iterator pattern with Python generators
  • Laying out a skeleton algorithm in the Template Method pattern
  • Enabling loose coupling between classes with the Observer pattern
  • Interfacing with REST Web Services and Clients

Python REST web services

  • Building a REST service
  • Generating JSON responses to support Ajax clients

Python REST clients

  • Sending REST requests from a Python client
  • Consuming JSON and XML response data
  • Measuring and Improving Application Performance

Measuring Application Execution

  • Timing execution of functions with the "timeit" module
  • Profiling program execution using "cProfile"
  • Manipulating an execution profile interactively with "pstats"

Employing Python language features for performance

  • Efficiently applying data structures, including lists, dictionaries and tuples
  • Mapping and filtering data sets using comprehensions
  • Replacing the standard Python interpreter with PyPy
  • Installing and Distributing Modules

Managing module versions

  • Installing modules from the PyPi repository using "pip"
  • Porting code between Python versions

Packaging Python modules and applications

  • Establishing isolated Python environments with "virtualenv"
  • Building a distribution package with "setuptools"
  • Uploading your Python modules to a local repository
  • Concurrent Execution

Lightweight threads

  • Creating and managing multiple threads of control with the Thread class
  • Synchronizing threads using locks

Heavy-weight processes

  • Launching operating system commands as subprocesses
  • Synchronizing processes with queues
  • Parallelizing execution using process pools and Executors
Show complete outline
Show Less

Convenient Ways to Attend This Instructor-Led Course

Hassle-Free Enrollment: No advance payment required to reserve your seat.
Tuition due 30 days after you attend your course.

In the Classroom

Live, Online

Private Team Training

In the Classroom — OR — Live, Online

Tuition — Standard: $2990   Government: $2659

Jul 25 - 28 (4 Days)
9:00 AM - 4:30 PM EDT
Online (AnyWare) Online (AnyWare) Reserve Your Seat

How would you like to attend?

Live, Online

Aug 8 - 11 (4 Days)
9:00 AM - 4:30 PM EDT
Herndon, VA / Online (AnyWare) Herndon, VA / Online (AnyWare) Reserve Your Seat

How would you like to attend?

Live, Online
In-Class

Sep 5 - 8 (4 Days)
9:00 AM - 4:30 PM EDT
New York / Online (AnyWare) New York / Online (AnyWare) Reserve Your Seat

How would you like to attend?

Live, Online
In-Class

Oct 3 - 6 (4 Days)
9:00 AM - 4:30 PM EDT
Toronto / Online (AnyWare) Toronto / Online (AnyWare) Reserve Your Seat

How would you like to attend?

Live, Online
In-Class

Oct 31 - Nov 3 (4 Days)
9:00 AM - 4:30 PM EDT
Ottawa / Online (AnyWare) Ottawa / Online (AnyWare) Reserve Your Seat

How would you like to attend?

Live, Online
In-Class

Jan 2 - 5 (4 Days)
9:00 AM - 4:30 PM EST
Online (AnyWare) Online (AnyWare) Reserve Your Seat

How would you like to attend?

Live, Online

Feb 6 - 9 (4 Days)
9:00 AM - 4:30 PM EST
Rockville, MD / Online (AnyWare) Rockville, MD / Online (AnyWare) Reserve Your Seat

How would you like to attend?

Live, Online
In-Class

Mar 6 - 9 (4 Days)
9:00 AM - 4:30 PM EST
New York / Online (AnyWare) New York / Online (AnyWare) Reserve Your Seat

How would you like to attend?

Live, Online
In-Class

Apr 3 - 6 (4 Days)
9:00 AM - 4:30 PM EDT
Toronto / Online (AnyWare) Toronto / Online (AnyWare) Reserve Your Seat

How would you like to attend?

Live, Online
In-Class

May 1 - 4 (4 Days)
9:00 AM - 4:30 PM EDT
Ottawa / Online (AnyWare) Ottawa / Online (AnyWare) Reserve Your Seat

How would you like to attend?

Live, Online
In-Class

Guaranteed to Run

Show all dates
Show fewer dates

Private Team Training

Enrolling at least 3 people in this course? Consider bringing this (or any course that can be custom designed) to your preferred location as a private team training.

For details, call 1-888-843-8733 or Click Here »

Tuition

Standard

Government

In Classroom or
Online

Standard

$2990

Government

$2659

Private Team Training

Contact Us »

Course Tuition Includes:

After-Course Instructor Coaching
When you return to work, you are entitled to schedule a free coaching session with your instructor for help and guidance as you apply your new skills.

After-Course Computing Sandbox
You'll be given remote access to a preconfigured virtual machine for you to redo your hands-on exercises, develop/test new code, and experiment with the same software used in your course.

Free Course Exam
You can take your course exam on the last day of your course and receive a Certificate of Achievement with the designation "Awarded with Distinction."

Prev
Next

Training Hours

Standard Course Hours: 9:00 am – 4:30 pm
*Informal discussion with instructor about your projects or areas of special interest: 4:30 pm – 5:30 pm

FREE Online Course Exam (if applicable) – Last Day: 3:30 pm – 4:30 pm
By successfully completing your FREE online course exam, you will:

  • Have a record of your growth and learning results
  • Bring proof of your progress back to your organization
  • Earn credits toward industry certifications (if applicable)

Enhance Your Credentials with Professional Certification

Learning Tree's comprehensive training and exam preparation guarantees that you will gain the knowledge and confidence to achieve professional certification and advance your career.

Earn 23 Credits from NASBA

This course qualifies for 23 CPE credits from the National Association of State Boards of Accountancy CPE program. Read more ...

- ,

Prev
Next
Chat Now

Please Choose a Language

Canada - English

Canada - Français