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Python Retreat for Programmers

2,800 USD
4 Days
Classroom Training, Online Training

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Course Description


This course is designed to prepare students for programming with Python, and to cultivate Pythonic thinking in the work environment.

Through lecture, comprehensive examples and hands-on labs, students will gain a thorough understanding of programming using Python.



Upon completion of the course, students will be able to:
  • Program using the Python syntax
  • Create object-oriented classes, libraries and packages
  • Apply exception handling rules
  • Reference and implement functional programming tricks
  • Recognize and utilize decorators, iterators, built-in data types and file systems
  • Operate useful developer modules such as unittest, profile, etc.
  • Apply inheritance and overriding properties in the Python language
  • Demonstrate Pythonic thinking
  • Create decorators and iterators
  • Implement advanced/esoteric features of object-oriented programming
  • Employ the regular expression engine


  • Software Engineers
  • Programmers


    • Working knowledge of another programming language


  • Output
    • Executing a Python program
    • Syntax: code blocks, colons
    • 'if', 'elif' and 'else'
    • 'while' and another 'else'
    • Writing to 'stdout'
    • Relational and logical operators
  • Input
    • Input from 'stdin'
    • Factory functions: 'int()', 'float()', 'str()'
    • Catching an exception: yet another 'else'
    • Formatted strings
    • Integer division issue
  • for range
    • 'range' operator
    • 'for' loop
    • Tuples
  • Functions
    • Function protocols
    • 'import' and 'reload'
    • Module: 'random'
    • Introspection
  • Scope
    • Indentifier scope
    • Default arguments
    • Keyword arguments
  • Sequences
    • Sequence types: 'str', 'tuple', 'list'
    • Sequence slicing and other manipulations
  • Important Trick
    • Module: 'sys'
    • Important trick: '__name__' and ''__main__''
    • Multi-dimensional sequences
    • Valid identifiers
  • Comprehensions
    • Scope issues
    • List comprehensions
  • Dictionaries
    • Importing with 'from'
    • Dictionaries
  • File IO and Packages
    • File I/O
    • Packages
  • “os” Module
    • Raising exceptions
    • Module: 'os'
  • Function Fancies
    • Modules: 'shutil', 'tempfile'
    • Function protocols: variable length argument lists
    • Formatted printing using a dictionary for replacement
    • Unpacking sequences and dictionaries
    • Generators
    • Decorators
  • System Calls
    • More os facilities:
      • 'os.write' etc.
      • 'os.listdir'
      • 'os.path.getsize'
    • Modules:
      • 'subprocess'
      • 'glob'
      • 'profile'
  • OOP
    • Module: 'shelve'
    • Classes
    • Inheritance
    • Class variable
  • Overriding
    • Overriding
    • 'Has-A' vs 'Is-A' relationships
  • New Style Classes
    • Useful attributes
    • Iterators
    • New style classes
    • Attribute control
    • 'property'
    • Static methods
    • Class methods
    • Diamond inheritance
  • Developer Modules
    • Module: 'unittest'
    • Module: 'optparse'
  • Wrap Up
    • Exceptions
    • Namespaces
    • Nests
    • Pitfalls
  • re Module
    • Regular expressions in Python
  • re sub
    • Search and replace
    • Named groups
  • re syntax
    • Regular expression syntax
    • Testing regular expressions
  • 2023 Top 20 Training Industry Company - IT Training

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