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Python continues to reign as one of the most studied languages available. For starters, it is included with common Linux Distros and is available for other platforms: (Windows | MacOS | etc.). It is Object Oriented (OO) and provides virtually unlimited access to libraries of interest that make you uber-productive, quickly. It's also worth mentioning that Python's Interactive interface enhances the learning process by facilitating rapid experimentation. Whatever the Application or Service, Python can be applied.

Release Syllabus

Python Scripting | Automation

Python - Object Oriented Linux Scripting Environment - Module III

  • Basics
    • Discuss Python's capabilities & features
    • Identify location of pre-installed Python
    • Discuss Python's Interactive interface
    • Use the interactive interface to ouput basic expressions
    • Hello World
    • Identify reserved keywords
    • Escape sequences & escape character exploration
    • Define Python script using Linux SHEBANG header
    • Execute Python scripts using the Python interpreter directly
    • Discuss data types including strings, integers, lists, tuples, dictionaries, etc.
    • Define standard variable types
    • Use the print function to examine ouput of variables and expressions
    • Use the type function to resolve data type
    • Use the id function to expose the memory location of the stored variable
    • Explain and define references and integrate with the id function
    • Comments definition
    • Perform basic arithmetic to illustrate the PEMDAS order of operations and examine how to alter it
  •  
  • General Python Information I
    • Explain and illustrate STDIN usage
    • Examine the input function
    • Examine the raw_input function
    • Compare and contrast between input and raw_input functions
    • Define small script to make use of input/raw_input and basic math functions
    • Python Function concepts, applications and definition
  •  
  • String Manipulation
    • Define and ascertain the length of strings
    • String extraction using list elements and list slicing
    • Discuss immutable and mutable data types
    • Loop through string slices using for loops
    • Compare strings using string operators
    • Discuss Python's object-oriented nature of various modules including classes and methods
    • Import strings module
    • Convert strings to upper and lower case using strings module methods
    • Split strings into lists
    • Join lists into strings
  •  
  • List Manipulation
    • Define lists
    • Discuss and Define tuples
    • Compare and contrast lists and tuples
    • Reverse lists
    • Append lists
    • Extend lists
    • Nest lists
    • Define multi-dimensional lists
    • Stack Lists using Last In First Out (LIFO) using the pop function
    • Define First In First Out (FIFO) lists to emulate queueing using the pop function
    • Insert values into various positions of the list
    • Use ranges to generate integers
    • Lists with Integers
    • Lists with Strings
    • Emulate standard UNIX Syslog logfile format using Lists
    • Parse emulated logfile format using the Split function
    • Recap list manipulation using integers, strings and various list methods
    • Explain and define Dictionaries - key/value pairs similar to Hashes in Perl
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  • Control Structures
    • IF - Defintion and usage
    • Discuss the importance of indentation
    • Else/Elif - comparisons against integers and strings
    • Comparison negation
    • Write script to perform conditional testing
    • Import sys module to evaluate positional parameters using ARGV
    • Define script which requires minimum number of command-line arguments
    • Nest multiple if/elif statements to match logic
    • Explain how for loops work in Python
    • for loops definition and usage
    • Iterate through lists of strings using for loops
    • Integrate for loops with string manipulation functions and log file parsing
    • Define and use While loops
    • Define and examine the consequences of incorrect logic with an infinite while loop
    • Integrate while loop with raw_input function to obtain data from the end-user
    • Discuss file handle concepts and applications
    • Use control structures to generate output for use in File I/O exercises
    • Use the open function to read a file into a file handle
    • Iterate through the lines within the opened file using readline functions, etc.
    • Open file handles for writing
    • Open multiple file handles
    • Write strings to files using string formatting options and variable substitution
    • Parse source file by extracting columns to be stored in destination file
    •  
    • Regular Expressions
    • Discuss Regular Expressions
    • Import Regular Expressions module (re) for usage
    • Implement Regular Expressions (REs)
    • Regular Expressions Matching of strings and variables
    • REGEX Repeaters
    • Integrate Regular Expressions with text file processing
    • Exception Handling
    • Try & Except
    •  
    • Modules
    • Identification of default Python modules
    • Import modules (sys, os, etc.) for usage
    • Use the dir function to ascertain the classes and methods available within modules
    • Use the SHUTIL module for advanced, high-level File I/O (Copy, Move, etc.)
    • Python - Syslog integration
    • Define script using the Syslog module to log to syslog
    •  
    • Common Gateway Interface
    • CGI Discussion and applications
    • Implement Python CGI with Apache 2.x
    • Evaluate results of CGI integration
    • Globbing
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  • Dictionaries
    • Further exploration of dictionaries
    • Parse log files into dictionary data structure
    • Organize results
    • Analyse data
  •  
  • Time
    • Review properties of various time functions
    • Export time with various functions
    • Use time functions to create log entries in process akin to Perl
    • Evaluate results
  •  

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