Practical Python for DevOps Engineers (training)

Colleagues, the Practical Python for DevOps Engineers program will equip you to excel in 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. Learn about 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 and Making an API Call With Python. Skill-based training modules include: 1) Getting Started with Python - Python Primer, Python Syntax, Variables and Data Types, Input and Output, Conditionals and Loops, Functions; 2) Object Oriented Programming and Python - Understanding Object Oriented Programming, Creating a Class in Python, Methods, Inheritance; 3) Modules - Understanding Python Modules, Importing a Module, Importing and Using Your Own Modules, Useful Modules for Infrastructure Automation; 4) Unit Testing - What is a Unit Test?, Using the Unittest Module in Python; and 5) Working with Data in Python - File Input and Output, Comparing XML, JSON, and YAML, Parsing CSV in Python, Parsing XML in Python, Parsing JSON in Python and Parsing YAML in Python; 6) What is an API? - Understanding APIs, REST, SOAP, RPC, Common Usage Patterns With Webhooks, Interpret an API Sequence Diagram; 7) Working with REST APIs - REST: HTTP Foundation, REST: HTTP Headers and Response Codes, REST: API Authentication, Understanding Rate Limiting, Constructing a REST API Request; and 8) Making an API Call With Python - Constructing an API Call with Python Requests Library, Making the Call and Parsing the Returned Information and Troubleshooting API Calls.

Enroll today (teams & execs welcome): https://tinyurl.com/5n953sv4 

Download your free Python,R, Tensorflow & PyTorch - Career Transformation Guide.

“Data-Driven Organizations”  book series for your listening-reading pleasure: 

1 - Data-Driven Decision-Making  (Audible) (Kindle)

2 - Implementing Data Science Methodology: From Data Wrangling to Data Viz (Audible) (Kindle)

Much career success, Lawrence E. Wilson - AI Academy (share with your team)