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Introduction to Python for DevOps/Scripting

Course Summary

The Introduction to Python for DevOps/Scripting training course is designed to demonstrate Python for scripting, automating, and enhancing productivity.

The course begins with an introduction to Python. Next, it explores basic programming skills to explain the necessity behind Python scripting. The course concludes by showing how to apply the knowledge from this training to solve future problems with Python.

Purpose
 Provide DevOps engineers the Python skills they need for scripting, automation, and to enhance productivity.
Audience
 Non-programmers who want to learn and use Python for scripting and automation
Role
DevOps Engineer - System Administrator
Skill Level
Introduction
Style
Workshops
Duration
3 Days
Related Technologies
Python

 

Productivity Objectives
  • Create Python scripts to automate your daily work
  • Know when Python is the appropriate solution and when it isn't
  • Understand the "nuts and bolts" of programming/scripting
  • Apply that knowledge to solving new problems

What You'll Learn:

In the Introduction to Python for DevOps/Scripting training course, you'll learn:
  • What is Python?
    • Why use Python? (and when NOT to use it)
    • Comparing Python to Bash and other scripting languages
  • Getting Started with Python-The Basics
    • Variables/Typing
    • Basic types
    • Built-in Python Functions
    • Python Arithmetic
    • Code Blocks / Colons
    • Control Structures
    • if/elif/else
    • Loops - for, while, range operator, the in operator
  • Iterables / Sequences
    • Slicing Operator
    • Lists
    • join()/split()
    • sort() vs. sorted()
    • enumerate()/ zip()
    • Dictionaries, Sets, and Tuples
  • File I/O
    • Reading and writing text files
    • Parsing files
  • Functions
    • Positional arguments
    • Default arguments
    • Keyword arguments
    • *args/**kwargs
  • Modules
    • What are they / how to use them
    • import vs. from ... import...
  • Useful Modules
    • argparse: command-line parsing
    • os, sys, subprocess: system management:
    • shutil, tempfile, glob: file I/O and file management:
  • Regular Expressions
    • Utilize regular expression syntax and Module (re)
    • Search and replace
    • Compile regular expression patterns
    • Understand Regular expressions and input file parsing
  • Exception Handling in Python
    • What is an exception?
    • LBYL vs. EAFP styles of programming
    • try/except, else, finally
real world content

Real-World Content

Project-focused demos and labs using your tool stack and environment, not some canned "training room" lab.
expert practitioners

Expert Practitioners

Industry experts that bring their battle scars into the classroom.
experiential learning

Experiential Learning

More coding than lecture, coupled with architectural and design discussions.
tailored outlines

Tailored Outlines

One-size-fits-all doesn't apply to training teams. That's where we come in!
“I appreciated the instructor's technique of writing live code examples rather than using fixed slide decks to present the material.”

VMware

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