English | MP4 | AVC 1280×720 | AAC 48KHz 2ch | 3h 47m | 5.78 GB
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.
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
Table of Contents
1 Introduction
2 Learning Objectives
3 Python Primer
4 Python Syntax
5 Variables and Data Types
6 Input and Output
7 Conditionals and Loops
8 Functions
9 Learning Objectives
10 Understanding Object Oriented Programming
11 Creating a Class in Python
12 Methods
13 Inheritance
14 Learning Objectives
15 Understanding Python Modules
16 Importing a Module
17 Importing and Using Your Own Modules
18 Useful Modules for Infrastructure Automation
19 Learning Objectives
20 What is a Unit Test
21 Using the Unittest Module in Python
22 Learning Objectives
23 File Input and Output
24 Comparing XML, JSON, and YAML
25 Parsing CSV in Python
26 Parsing XML in Python
27 Parsing JSON in Python
28 Parsing YAML in Python
29 Learning Objectives
30 Understanding APIs
31 REST
32 SOAP
33 RPC
34 Common Usage Patterns With Webhooks
35 Interpret an API Sequence Diagram
36 Learning Objectives
37 REST HTTP Foundation
38 REST HTTP Headers and Response Codes
39 REST API Authentication
40 Understanding Rate Limiting
41 Constructing a REST API Request
42 Learning Objectives
43 Constructing an API Call with Python Requests Library
44 Making the Call and Parsing the Returned Information
45 Troubleshooting API Calls
46 Summary
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