This intermediate Python course enhances your programming skills with advanced concepts, including object-oriented programming, data structures, and libraries. Perfect for those looking to deepen their knowledge.
Python - Intermediate Training Syllabus
Curriculum Designed by Experts
Python Syntax Review
Ensuring a proper setup of Python
Review basic Python syntax
If/then/else & loops
Functions and exceptions
Decorators
Generators and iterators
iter(), iter, and next()
Understanding the yield statement
Creating generator expressions
Loop comprehensions
Context managers
What is a context manage
The 'with' statement
Working with a context manager: contextlib.closing, enter and exit
Using contextlib.contextmanager
Testing Python
Review of key texting concepts: unit, functional, integration, etc.
Overview of test-driven development concepts
Writing tests unit test with a test-first approach
Unit testing with the unittest module
Creating test suites with nosetests as a test collector
Performing simple code coverage analysis with coverage
Introducing logging
Importance of logging
Basic logging concepts within Python
Using basicConig to set up loggers, handlers, formatters
Using ?leConig for more complex logger configurations
Threading
Threading v. multi-processing
Core Threading Concepts
Key threading constructs
Building a simple multi-thread program
Preventing data corruption through mutex and events for synchronization
Using Queue.Queue
Multiprocessing
Threading v. multi-processing (part II)
Core Multiprocessing Concepts
Using the subprocess module
Using the multiprocessing module
Network Programming
Review of network programming concepts and protocol layers
Network programming support within Python
Fetching web resources with urllib/urllib2
Sending email with smtplib
Creating client-server like applications using sockets
Creating a simple JSON-REST client
Introduction to Web application development with Django
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