Using PowerShell type accelerators

PowerShell type accelerators are aliases for .NET classes or types, which makes using classes in PowerShell scripts much easier. The intention behind type accelerators is to use shorter names for .NET classes and types and save some unnecessary typing. For example, when you use the type accelerator [int] to define an integer value, there’s actually no data type called int. Instead, it’s just an alias for the [System.Int32] class.

Similarly, you can also create PowerShell credentials using the type accelerator [PSCredential]. This is much shorter to type and an alias of the System.Management.Automation.PSCredential class, like in the following code example:

 

My new book :  PowerShell Scripting Guide to Python

This PowerShell Scripting guide to Python is designed to make readers familiar with syntax, semantics and core concepts of Python language, in an approach that readers can totally relate with the concepts of PowerShell already in their arsenal, to learn Python fast and effectively, such that it sticks with readers for longer time.

“Use what you know to learn what you don’t. ” also known as Associative learning.

Book follows a comparative method to jump start readers journey in Python, but who is the target audience? and who should read this book –

  • Any System Administrator who want to step into Development or Programming roles, and even if you don’t want to be a developer, knowledge of another scripting language will make your skill set more robust.
  • Python Developers who want to learn PowerShell scripting and understand its ease of user and importance to manage any platform.

Python is one of the top programming languages and in fast changing IT scenarios to DevOps and Cloud to the future – Data Science, Artificial Intelligence (AI) and Machine Learning Python is a must know.

But this PowerShell Scripting guide to Python would be very helpful for you if you already have some knowledge of PowerShell

NOTE! This is a Leanpub “Agile-published” book. That means the book is currently unfinished and in-progress. As I continue to complete the chapters, we will re-publish the book with the new and updated content. Readers will receive an email once a new version is published!

While the book is in progress, please review it and send any feedback or error corrections at prateek@ridicurious.com

Optical Character Recognition

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