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Python for Network Administrators

Introductory and beyond-level practical hands-on Python training course

GK# 8431

Course Overview

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Targeted for network administrators looking to automate administrative tasks across a set of distributed clients Python for Network Administrators is an introductory and beyond-level 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 with a focus on network-focused modules such as SSH, Git, and RESTful services. This comprehensive, practical course provides an in-depth exploration of working with the programming language, not an academic overview of syntax and grammar.  Students will immediately be able to use Python to complete these types of tasks in the real world.

Schedule

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  • Delivery Format:
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What You'll Learn

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Working within in an engaging, hands-on learning environment, guided by our expert Python practitioner, students will learn to:

  • 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
  • Write robust code using exception handling
  • Automate network administrative tasks across distributed clients using SSH, REST, and Git

Outline

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Viewing outline for:

Virtual Classroom Live Outline

Session 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

 

Session 2:  The Python Environment

  • Starting Python
  • Using the interpreter
  • Running a Python script
  • Python scripts on Unix/Windows
  • Editors and IDEs

 

Session 3:  Getting Started

  • Using variables
  • Builtin functions
  • Strings
  • Numbers
  • Converting among types
  • Writing to the screen
  • Command line parameters

 

Session 4: Flow Control

  • About flow control
  • White space
  • Conditional expressions
  • Relational and Boolean operators
  • While loops
  • Alternate loop exits

 

Session 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

 

Session 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

 

Session 7:  Dictionaries and Sets

  • About dictionaries
  • Creating dictionaries
  • Iterating through a dictionary
  • About sets
  • Creating sets
  • Working with sets

 

Session 8:  Functions

  • Defining functions
  • Parameters 
  • Global and local scope
  • Nested functions
  • Returning values

 

Session 9:  Sorting

  • The sorted() function
  • Alternate keys
  • Lambda functions
  • Sorting collections
  • Using operator.itemgetter()
  • Reverse sorting

 

Session 10:  Errors and Exception Handling

  • Syntax errors
  • Exceptions
  • Using try/catch/else/finally
  • Handling multiple exceptions
  • Ignoring exceptions

 

Session 11:  Modules and Packages

  • The import statement
  • Module search path
  • Creating Modules
  • Using packages
  • Function and Module aliases

 

Session 12:  Classes

  • About o-o programming
  • Defining classes
  • Constructors
  • Methods
  • Instance data
  • Properties
  • Class methods and data

 

Session 13:  Regular Expressions

  • RE syntax overview
  • RE Objects
  • Searching and matching
  • Compilation flags
  • Groups and special groups
  • Replacing text
  • Splitting strings

 

Session 14:  The standard library

  • The sys module
  • Launching external programs
  • Math functions
  • Random numbers
  • The string module
  • Reading CSV data

 

 

Session 15:  Dates and times

  • Working with dates and times
  • Translating timestamps
  • Parsing dates from text
  • Formatting dates
  • Calendar data

 

Session 16: Working with the file system

  • Paths, directories, and filenames
  • Checking for existence
  • Permissions and other file attributes
  • Walking directory trees
  • Creating filters with fileinput
  • Using shutil for file operations

 

Session 17: Network services

  • Grabbing web content
  • Sending email

 

Session 18: RESTful Services

  • REST Overview
  • Essential RESTful services with Flask
  • Consuming RESTful services
  • Overview of Reactive Programming with RxPY

 

Session 19: Programmatic SSH

  • SSH, SCP and SFTP Overview
  • Essential Paramiko
  • Maintaining multiple clients

 

Session 20: DevOps and GitPython

  • DevOps Overview
  • Git Overview
  • Programmatic Git with GitPython

Labs

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Virtual Classroom Live Labs

This course is about 50% hands-on lab and 50% lecture, with extensive programming exercises designed to reinforce fundamental skills and concepts learned in the lessons.  Our courses include ample materials and labs to ensure all students are either appropriately challenged, or assisted, at all times – no matter their skill level.

Prerequisites

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Attendees should have a working knowledge in developing basic Java 8 applications. Students should have basic development experience in any programming language, along with a working, user-level knowledge of Unix/Linux, Mac, or Windows.

Who Should Attend

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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. 

Course Delivery

This course is available in the following formats:

Virtual Classroom Live

Experience expert-led online training from the convenience of your home, office or anywhere with an internet connection.

Duration: 5 day

Request this course in a different delivery format.
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