https://www.udemy.com/course/python-1100b

All you'll need know to get coding with Python!

What you'll learn: 

A comprehensive, keyword-centric educational experience

Use Modern Python to document and test your creations

Tackle managing information in Python's "global directory"

Create programs to collect, sort & process data

Understand how to create "First Class Functions"

Practice using unary, binary and ternary expressions

Learn how to use Lambdas

Use the most common, 'critical path' set of built-in functions

Practice using the definitive set of pythonic collections

Enjoy mastering slicing, enumeration & iteration activities

Understand how to use "Comprehensions"

Discover and use common & core packages

"Lock In" Success Using Regression Testing Techniques

Enhance your DevOps missions by creating and reading time-stamped report files

Requirements:

Python 3.6 or greater must be installed

The completion of "Python 1000: The Python Primer" is recommended

Description:

The mission of Python-1000: DevOps Features & Functions is to provide learners with a faster path to enjoying the many benefits of using the Python programming language on-the-job.

Targeting both new students as well as professionals who need to perform testing, reporting, and scripting tasks on-the-job, the inspiration to create a fast-path to using the power of Python came when teaching cyber security officers for the United States Department of Defense (DoD) cyber-security task force. Frustrated in the midst of a lesson on Object Orientation, a young sergeant turned to me to ask “Why are your teaching me all of this?” After explaining to this Marine why OO can be important, I resolved to create an educational opportunity for aspiring software developers and DevOps professionals alike.

The approach is simple: Python is, first and foremost, a scripting language. -Much like using any other scripting language & shell (e.g. `bash` or `PowerShell`) elsewhere, many may never even need to know how to use Python’s more advanced programming features. In short, learning how to create, manage, and / or share classes and packages is not necessarily even required to start using Python’s rich, Object-Oriented, programming paradigms on the job. From using standard data types, collections, lambdas, nested functions, built-in functions, sorting, enumerations, slicing, as well as Python’s reporting & testing underpinnings, students will learn how to get the most out of the modern Python scripting language as rapidly, as well as responsibly, as possible.

Indeed, since classes are usually a collection of functions, students destined for various I.T roles must first master the ins and outs of making their own functions. -A frequently ignored first-step, mastering "functional Python" is the stride that will help jump-start the careers of both professional Python software developers, as well as professional Python software users, alike.

Who this course is for:Software developers looking to use Python 3.6 or greaterPythoneers who need to QUICKLY review what they have learnedPython students looking for additional practice activitiesProfessionals needing to start using Python's cross-platform power ... after a single day!

Who this course is for:

Software developers looking to use Python 3.6 or greater

Pythoneers who need to QUICKLY review what they have learned

Python students looking for additional practice activities

Professionals needing to start using Python's cross-platform power ... after a single day!