Working in a hands-on learning environment led by our expert instructor you will explore:

• Develop Python Scripts Using Best Practices. Write efficient, professional-grade Python scripts to automate administrative and networking tasks.
• Leverage Core Python Data Structures. Utilize lists, dictionaries, sets, and other Python data structures to solve real-world problems effectively.
• Automate File and Data Management. Perform advanced file operations, handle binary data, and process large datasets with ease.
• Implement Regular Expressions and Parsing Techniques. Search, replace, and manipulate text data using powerful regular expressions and parsing tools.
• Automate Networking Tasks. Use Python modules to perform SSH operations, interact with RESTful services, and manage distributed clients.
• Build Resilient and Maintainable Scripts: Apply exception handling, modular programming, and other techniques to create robust, reusable Python solutions.

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.

NOTE: This agenda is based on our standard course offering, evolved from typical industry uses and trends. We will collaborate with you to tune this course to target the skills you need most. Topics, agenda and labs are subject to change and may adjust during live delivery based on audience skill level, interests and participation.

1. The Python Environment

• Starting Python
• If the interpreter is not in your PATH
• Using the interpreter
• Trying out a few commands
• Running Python scripts
• Getting help
• Python Editors and IDEs

2. Variables and Values

• Using variables
• Keywords and Builtins
• Variable typing
• Strings
• String operators and methods
• Numeric literals
• Math operators and expressions
• Converting among types

3. Basic input and output

• 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

• Lists
• Tuples and unpacking
• Indexing and slicing
• Aterating through a sequence
• Functions for all 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

7. Dictionaries and sets

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

8. Functions, modules, packages

• Defining a function
• Returning values
• Function parameters
• Variable scope
• Creating Modules
• The import statement
• Where did __pycache__ come from?
• Module search path
• Packages

9. 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

10. 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

11. Efficient Scripting

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

12. 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

13. Binary data

• str vs bytes
• Binary files
• Structured binary data
• Bitwise operations

14. Network Programming

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

15. Sockets

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

16. 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

17. 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

Bonus Topics / Time Permitting

These topics will be included in your course materials but may or may not be presented during the live class depending on the pace of the course and attendee skill level and participation.

18. Sorting

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