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Practical Python for DevOps Engineers LiveLessons (Video Training)

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Description

  • Copyright 2022
  • Edition: 1st
  • Online Video
  • ISBN-10: 0-13-765900-8
  • ISBN-13: 978-0-13-765900-5

4 Hours of Video Instruction

Get introduced to the world of DevOps automation for Python and excel your tasks in IT infrastructure operations.

Overview

Practical Python for DevOps Engineers LiveLessons is designed to expand your understanding of concepts and strategies for operating your infrastructure effectively in the ever-changing digital landscape. Taught by best-selling author Chris Jackson, the course will provide explanations of the basic and intricate techniques of automation and programmability in an effortless manner.

Practical Python for DevOps Engineers LiveLessons will begin with the overview of Python from its syntax to working with variables and data types. The course will cover other Python-related topics like Object Oriented Programming, Python Modules, UnitTest module, and Python Programming. In addition to the Python topics, the course will dive into the topic of API, where the section will cover the fundamentals of API and its common usage. The content in this course is taken from Chris Jackson's Cisco Certified DevNet Associate DEVASC 200-901 Complete Video Course.


Topics include

  • Getting Started with Python
  • Object Oriented Programming and Python
  • Modules
  • Unit Testing
  • Working with Data in Python
  • What is an API?
  • Working with REST APIs
  • Making an API Call With Python


Skill Level

  • Beginner to Intermediate

Learn How To

  • Program Cisco infrastructure devices
  • Implement DevOps automation
  • Create a more agile and flexible IT environment

Who Should Take This Course

  • This course is intended for anyone who has IT infrastructure and would like to learn how to use emerging technologies to automate and simplify operations.

Course Requirements

  • Basic understanding of networking infrastructure equipment
  • Computer literacy, PC operating system knowledge, and Internet knowledge
  • Hands-on experience with the Python programming language



About Pearson Video Training

Pearson publishes expert-led video tutorials covering a wide selection of technology topics designed to teach you the skills you need to succeed. These professional and personal technology videos feature world-leading author instructors published by your trusted technology brands: Addison-Wesley, Cisco Press, Pearson IT Certification, Sams, and Que. Topics include: IT Certification, Network Security, Cisco Technology, Programming, Web Development, Mobile Development, and more. Learn more about Pearson Video training at http://www.informit.com/video.

Video Lessons are available for download for offline viewing within the streaming format. Look for the green arrow in each lesson.

Sample Content

Table of Contents

Lesson 1: Getting Started with Python
1.1 Python Primer
1.2 Python Syntax
1.3 Variables and Data Types
1.4 Input and Output
1.5 Conditionals and Loops
1.6 Functions


Lesson 2: Object Oriented Programming and Python
2.1 Understanding Object Oriented Programming
2.2 Creating a Class in Python
2.3 Methods
2.4 Inheritance


Lesson 3: Modules
3.1 Understanding Python Modules
3.2 Importing a Module
3.3 Importing and Using Your Own Modules
3.4 Useful Modules for Infrastructure Automation


Lesson 4: Unit Testing
4.1 What is a Unit Test?
4.2 Using the Unittest Module in Python


Lesson 5: Working with Data in Python
5.1 File Input and Output
5.2 Comparing XML, JSON, and YAML
5.3 Parsing CSV in Python
5.4 Parsing XML in Python
5.5 Parsing JSON in Python
5.5 Parsing YAML in Python


Lesson 6: What is an API?
6.1 Understanding APIs
6.2 REST
6.3 SOAP
6.4 RPC
6.5 Common Usage Patterns With Webhooks
6.6 Interpret an API Sequence Diagram


Lesson 7: Working with REST APIs
7.1 REST: HTTP Foundation
7.2 REST: HTTP Headers and Response Codes
7.3 REST: API Authentication
7.4 Understanding Rate Limiting
7.5 Constructing a REST API Request


Lesson 8: Making an API Call With Python
8.1 Constructing an API Call with Python Requests Library
8.2 Making the Call and Parsing the Returned Information
8.3 Troubleshooting API Calls

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