Open Source/Python for Security professionals

Python for Security professionals Certification Training Course Overview

Enroll for the 4-day Python security course from Koenig Solutions. This class is an introductory, practical, hands-on Python training course that leads the student from the basics of writing and running Python scripts to more advanced features such as file operations, regular expressions, working with binary data, and using the extensive functionality of Python modules.

Extra emphasis is placed on features unique to Python, such as tuples, array slices, and output formatting. This comprehensive, practical course provides an in-depth exploration of working with the programming language, not an academic overview of syntax and grammar.

This course is tailored specifically for Security Analysts and others who wish to use Python functionality for security-related tasks such as log manipulation or forensics.

This course, which addresses secure coding practices, is essential for security professionals that are performing security reviews and audits of Python applications or are supporting development teams in implementing better defences in Python.

Target Audience:

This course is appropriate for advanced users, system administrators and web site administrators who want to use Python to support their server installations, as well as anyone else who wants to automate or simplify common tasks with the use of Python scripts.

Learning Objectives:

 

  • Create working Python scripts following best practices
  • Use python data types appropriately
  • Read and write files with both text and binary data
  • Search and replace text with regular expressions
  • Get familiar with the standard library and its work-saving modules
  • Use lesser-known but powerful Python data types
  • Create "real-world", professional Python applications
  • Work with dates, times, and calendars
  • Know when to use collections such as lists, dictionaries, and sets
  • Understand Pythonic features such as comprehensions and iterators

 

Python for Security professionals (32 Hours) Download Course Contents

Live Virtual Classroom
Group Training 1400
18 - 21 Oct 09:00 AM - 05:00 PM CST
(8 Hours/Day)

01 - 04 Nov 09:00 AM - 05:00 PM CST
(8 Hours/Day)

06 - 09 Dec 09:00 AM - 05:00 PM CST
(8 Hours/Day)

1-on-1 Training (GTR) 1600
4 Hours
8 Hours
Week Days
Weekend

Start Time : At any time

12 AM
12 PM

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Classroom Training (Available: London, Dubai, India, Sydney, Vancouver)
Duration : On Request
Fee : On Request
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Course Modules

Module 1: An Overview of Python
  • What is python?
  • An overview of Python
  • What is python?
  • Python Timeline
  • Advantages/Disadvantages of Python
  • Getting help with pydoc
Module 2: The Python Environment
  • Starting Python
  • Using the interpreter
  • Running a Python script
  • Python scripts on Unix/Windows
  • Editors and IDEs
Module 3: Getting Started
  • Using variables
  • Built-in functions
  • Strings
  • Numbers
  • Converting among types
  • Writing to the screen
  • Command line parameters
Module 4: Flow Control
  • About flow control
  • White space
  • Conditional expressions
  • Relational and Boolean operators
  • While loops
  • Alternate loop exits
Module 5: Sequences
  • About sequences
  • Lists and list methods
  • Tuples
  • Indexing and slicing
  • Iterating through a sequence
  • Sequence functions, keywords, and operators
  • List comprehensions
  • Generator Expressions
  • Nested sequences
Module 6: Working with files
  • File overview
  • Opening a text file
  • Reading a text file
  • Writing to a text file
  • Reading and writing raw (binary) data
  • Converting binary data with struct
Module 7: Dictionaries and Sets
  • About dictionaries
  • Creating dictionaries
  • Iterating through a dictionary
  • About sets
  • Creating sets
  • Working with sets
Module 8: Functions
  • Defining functions
  • Parameters
  • Global and local scope
  • Nested functions
  • Returning values
Module 9: Sorting
  • The sorted () function
  • Alternate keys
  • Lambda functions
  • Sorting collections
Module 10: Errors and Exception Handling
  • Syntax errors
  • Exceptions
  • Using try/catch/else/finally
  • Handling multiple exceptions
  • Ignoring exceptions
Module 11: Modules and Packages
  • The import statements
  • Module search path
  • Creating modules and Using packages
  • Function and Module aliases
Module 12: Classes
  • About o-o programming
  • Defining classes
  • Constructors
  • Methods
  • Instance data
  • Properties
  • Class methods and data
Module 13: Regular Expressions
  • RE syntax overview
  • RE Objects
  • Searching and matching
  • Compilation flags
  • Groups and special groups
  • Replacing text
  • Splitting strings
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Course Prerequisites

Students are required to have some basic programming experience and exposure prior to attending this course. Students should have basic development experience in any programming language, along with a working, user-level knowledge of Unix/Linux, Mac, or Windows.