Gain insights into Python by leveraging your PowerShell knowledge. Delve into syntax, semantics, and core concepts of Python, making learning efficient through associative learning techniques.

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PowerShell is a go-to scripting language for almost ANYTHING! Now, if you’re hoping to learn Python, then you’re in the right place. As you start this course, you’ll begin to notice that there are a lot of patterns and concepts shared between the two languages. 

Thus during this course, you will easily be able to relate new Python concepts to the concepts you already know in PowerShell, a learning style called Associative Learning. 

This PowerShell Scripting guide to Python is designed to make you familiar with syntax, semantics, and core concepts of the Python language. And by using concepts you already know in PowerShell, you’ll be able to learn Python fast and effectively in a way that sticks with you for a longer period of time.

Learning Python through PowerShell Concepts

## Using PowerShell cmdlet `Export-CSV`

PowerShell objects can simply be piped to the `Export-CSV` cmdlet with a valid file name, which will convert the object into CSV format and write to the file. In the following example, we will first capture some services running on a Windows machine with specific properties and then export them to a file through the pipeline using the `Export-CSV` cmdlet. The use of the `-NoTypeInformation` switch parameter indicates that this cmdlet omits the type information from the CSV file, which is `#TYPE` followed by the fully qualified name of the type of object in the first line of the CSV file.

```PowerShell
Get-Service win* | Select-Object Name, Status | Export-Csv C:\Temp\Service.csv -NoTypeInformation
```

We can even convert a dictionary to PowerShell objects by casting it to the `[PSCustomObject]` type accelerator. This will convert it into an object which  we can then export to a CSV file using `Export-CSV` cmdlet.

> **Note:** Run the `cat Test.csv` command after hitting the "Run" button to see the `Test.csv` file.



# Using PowerShell cmdlet `Export-CSV`

PowerShell objects can simply be piped to the `Export-CSV` cmdlet with a valid file name, which will convert the object into CSV format and write to the file. In the following example, we will first capture some services running on a Windows machine with specific properties and then export them to a file through the pipeline using the `Export-CSV` cmdlet. The use of the `-NoTypeInformation` switch parameter indicates that this cmdlet omits the type information from the CSV file, which is `#TYPE` followed by the fully qualified name of the type of object in the first line of the CSV file.

```PowerShell
Get-Service win* | Select-Object Name, Status | Export-Csv C:\Temp\Service.csv -NoTypeInformation
```

We can even convert a dictionary to PowerShell objects by casting it to the `[PSCustomObject]` type accelerator. This will convert it into an object which  we can then export to a CSV file using `Export-CSV` cmdlet.

> **Note:** Run the `cat Test.csv` command after hitting the "Run" button to see the `Test.csv` file.



Let's learn how to write a CSV file with an example.

Introduction

Basics

Object Introspection

Data Types and Its Manipulation

Data Structures

Conditional Statements

Loops

Functions

Handling Json, Xml, and Csv

Error Handling and Builtin Functions

Builtin Functions

Appendix

Conclusion

Writing a CSV File

Using PowerShell cmdlet `Export-CSV`