Geared for network administrators looking to automate administrative tasks across a set of distributed clients, this course is an introductory and beyond-level practical, hands-on Python course that leads you 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.

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* Actual course outline may vary depending on offering center. Contact your sales representative for more information.

Learning Objectives

This course is approximately 50% hands-on, combining expert lecture, real-world demonstrations and group discussions with machine-based practical labs and exercises. Our engaging instructors and mentors are highly experienced practitioners who bring years of current "on-the-job" experience into every classroom.
Working within in an engaging, hands-on learning environment, guided by our expert instructor, 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 More

1

  • An Overview of Python

  • What is Python?
    The Birth of Python.
    About Interpreted Languages
    Advantages of Python
    Disadvantages of Python
    How to get Python
    Which version of Python?
    The end of Python 2
    Getting Help
    One day on Dagobah
2

  • The Python Environment

  • Starting Python
    If the interpreter is not in your PATH
    Using the interpreter
    Trying out a few commands
    Running Python scripts (explicit)
    Running Python scripts (implicit)
    Using pydoc
    Python Editors and IDEs
3

  • Getting Started

  • Using variables
    Keywords and Builtins
    Variable typing
    Strings
    Single-delimited string literals
    Triple-delimited string literals
    Raw string literals
    Unicode characters
    String operators and methods
    String Methods
    Numeric literals
    Math operators and expressions
    Converting among types
    Writing to the screen
    String Formatting
    Legacy String Formatting
    Command line parameters
    Reading from the keyboard
4

  • Flow Control

  • About flow control
    What's with the white space?
    if and elif
    Conditional Expressions
    Relational Operators
    Boolean operators
    while loops
    Alternate ways to exit a loop
5

  • Array types

  • About Array Types
    Lists
    Tuples
    Indexing and slicing
    Iterating through a sequence
    Unpacking tuples
    Nested sequences
    Functions for all sequences
    Using enumerate()
    Operators and keywords for sequences
    The range() function
    List comprehensions
    Generator Expressions
6

  • Working with Files

  • Text file I/O
    Opening a text file
    The with block
    Reading a text file
    Writing to a text file
8

  • Dictionaries

  • About dictionaries
    When to use dictionaries?
    Creating dictionaries
    Getting dictionary values
    Iterating through a dictionary
    Reading file data into a dictionary
    Counting with dictionaries
    About sets
    Creating Sets
    Working with sets
9

  • Functions

  • Defining a function
    Returning values
    Function parameters
    Variable scope
10

  • Sorting

  • Sorting Overview
    The sorted() function
    Custom sort keys
    Lambda functions
    Sorting nested data
    Sorting dictionaries
    Sorting in reverse
    Sorting lists in place
11

  • Errors and Exception Handling

  • Syntax errors
    Exceptions
    Handling exceptions with try
    Handling multiple exceptions
    Handling generic exceptions
    Ignoring exceptions
    Using else
    Cleaning up with finally
12

  • Using Modules

  • What is a module?
    Creating Modules
    The import statement
    Where did __pycache__ come from?
    Module search path
    Packages
    Example
    Module Aliases
    When the batteries aren't included
13

  • An Introduction to Python Classes

  • About O-O programming
    Defining classes
    Constructors
    Instance methods
    Properties
    Class methods and data
    Static Methods
    Private methods
    Inheritance
    Untangling the nomenclature
14

  • Regular Expressions

  • Regular Expressions
    RE Syntax Overview
    Finding matches
    RE Objects
    Compilation Flags
    Groups
    Special Groups
    Replacing text
    Replacing with a callback
    Splitting a string
15

  • Network Programming

  • Grabbing a web page
    Consuming Web services
    HTTP the easy way
    sending e-mail
    Email attachments
    Remote Access
    Copying files with Paramiko
16

  • Sockets

  • Sockets
    Socket options
    Server concepts
    Client concepts
    Application protocols
    Forking servers
17

  • Multiprogramming

  • Multiprogramming
    What Are Threads?
    The Python Thread Manager
    The threading Module
    Threads for the impatient
    Creating a thread class
    Variable sharing
    Using queues
    Debugging threaded Programs
    The multiprocessing module
    Using pools
    Alternatives to multiprogramming
18

  • Efficient Scripting

  • Running external programs
    Parsing arguments
    Creating filters to read text files
    Logging
19

  • Serializing Data- XML, XPath, JSON, CSV

  • About XML
    Normal Approaches to XML
    Which module to use?
    Getting Started With ElementTree
    How ElementTree Works
    Elements
    Creating a New XML Document
    Parsing An XML Document
    Navigating the XML Document
    Using XPath
    About JSON
    Reading JSON
    Writing JSON
    Customizing JSON
    Reading CSV data
    Nonstandard CSV
    Using csv.DictReader
    Writing CSV Data
    Pickle

Audience

This introductory-level Python 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. Students should have basic development experience in any programming language, along with a working, user-level knowledge of Unix/Linux, Mac, or Windows.

Language

English

Prerequisites

This introductory-level Python 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. Students should have basic development experience in any programming language, along with a working, user-level knowledge of Unix/Linux, Mac, or Windows.

$2,395

Length: 4.0 days (32 hours)

Level:

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28
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10:00 AM ET -
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