Programming for Network Engineers (PRNE)

Introducing Programmability and Python for Network Engineers

• • Programmability
• • Continued Importance of the CLI
• • Need for Python
• • First Python Program

Scripting with Python

• • Running a Python Script
• • Python Interactive Shell
• • Editors and IDEs

Examining Python Data Types

• • String Data Type
• • Integer Data Type
• • Float Data Type
• • Boolean Data Type
• • type() Function 
• • Python Variables
• • List Analysis
• • Tuple Data Analysis
• • Data Set Types
• • Python Dictionary
• • Nested Data Types
• • Navigating Complex Data Structures

Manipulating Strings

• • String Manipulation
• • String Splitting
• • Modifying Strings
• • String Contacenation
• • Whitespace Stripping
• • Formatting and Templating
• • Escape Characters
• • Regular Expressions
• • String Methods

Describing Conditionals, Loops, and Operators

• • Whitespace and PEP 8
• • Conditionals
• • Operators
• • Example of Using Conditionals
• • Loops
• • Loops with Lists, Dicts and Ranges

Exploring Classes, Methods, Functions, Namespaces, and Scopes

• • Practical Reuse of Codes
• • Functions
• • Code Commenting
• • Namespaces and Scopes
• • Classes and Methods
• • Using Inheritance to Extend Functionality
• • Main Construct

Exploring Data Storage Options

• • Data Formats
• • Readng Data from a Simple Text and CSV File
• • Writing Data to a Simple Text and CSV File
• • Reading Data from a JSON Text File
• • Writing Data to a JSON Text File
• • Data Access in a RAW or Unstructured Format

Exploring Python Modules and Packages

• • Python Standard Library Modules
• • Reusable code with Modules and Packages 

Gathering and Validating User Input

• • Obtaining User Input
• • Command-Line Arguments

Analyzing Exceptions and Error Management

• • Errors and Exceptions
• • Managing Exceptions
• • Assertions

Examining Debugging Methods

• • Code Debugging Process
• • Python Debugging Functions
• • Debuggers
• • Python Debugger
• • Pdb Commands

Labs

• • Execute Your First Python Program
• • Use the Python Interactive Shell
• • Explore Foundation Python Data Types
• • Explore Complex Python Data Types
• • Use Standard String Operations
• • Use Basic Pattern Matching
• • Reformat MAC Addresses
• • Use the if-else Construct
• • Use for Loops
• • Use while Loops
• • Create and Use Functions
• • Create and Use Classes
• • Use the Python main() Construct
• • Traverse the File Structure
• • Read Data in Comma-Separated Values (CSV) Format
• • Read, Store, and Retrieve Data in XML Format
• • Read, Store, and Retrieve Date in JavaScript Object Notation (JSON) Format
• • Read, Store, and Retrieve Data in a Raw or Unstructured Format
• • Import Modules from the Python Standard Library
• • Import External Libraries
• • Create a Python Module
• • Prompt the User for Input
• • Use Command-Line Arguments
• • Manage Exceptions with the try-except Structure
• • Manage Exceptions with the try-except-finally Structure
• • Use Assertions
• • Use Simple Debugging Methods
• • Use the Python Debugger
• • Code a Practical Debugging Script