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What is pandas? | The Very First Steps
Pandas First Steps
course content

Course Content

Pandas First Steps

Pandas First Steps

1. The Very First Steps
2. Reading Files in Pandas
3. Analyzing the Data

bookWhat is pandas?

In order to feel confident and successfully complete this course, we strongly recommend you complete the following courses beforehand (just click on them to start):

What is Pandas?

pandas is a Python library designed for data processing and analysis.

Why Use Pandas?

Mastering this library is beneficial for data scientists and data analysts alike. With pandas, you can perform tasks such as data grouping, visualization, pivot table creation, and filtering based on specific criteria.

To utilize this library, you must import it. Here's how you can do that:

For ease of use, it's common to import the library using an alias. Here's how to do it:

In this case, pd serves as an alias. So, when invoking functions from this library in the future, you would do it as follows:

Task

To proceed, you'll need to import the pandas library. Review the example above and complete the exercise accordingly. If you encounter any difficulties, refer to the hint for guidance.

Once you've completed this task, click the button below the code to check your solution.

Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
Everything was clear?

How can we improve it?

Thanks for your feedback!

Section 1. Chapter 1
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bookWhat is pandas?

In order to feel confident and successfully complete this course, we strongly recommend you complete the following courses beforehand (just click on them to start):

What is Pandas?

pandas is a Python library designed for data processing and analysis.

Why Use Pandas?

Mastering this library is beneficial for data scientists and data analysts alike. With pandas, you can perform tasks such as data grouping, visualization, pivot table creation, and filtering based on specific criteria.

To utilize this library, you must import it. Here's how you can do that:

For ease of use, it's common to import the library using an alias. Here's how to do it:

In this case, pd serves as an alias. So, when invoking functions from this library in the future, you would do it as follows:

Task

To proceed, you'll need to import the pandas library. Review the example above and complete the exercise accordingly. If you encounter any difficulties, refer to the hint for guidance.

Once you've completed this task, click the button below the code to check your solution.

Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
Everything was clear?

How can we improve it?

Thanks for your feedback!

Section 1. Chapter 1
toggle bottom row

bookWhat is pandas?

In order to feel confident and successfully complete this course, we strongly recommend you complete the following courses beforehand (just click on them to start):

What is Pandas?

pandas is a Python library designed for data processing and analysis.

Why Use Pandas?

Mastering this library is beneficial for data scientists and data analysts alike. With pandas, you can perform tasks such as data grouping, visualization, pivot table creation, and filtering based on specific criteria.

To utilize this library, you must import it. Here's how you can do that:

For ease of use, it's common to import the library using an alias. Here's how to do it:

In this case, pd serves as an alias. So, when invoking functions from this library in the future, you would do it as follows:

Task

To proceed, you'll need to import the pandas library. Review the example above and complete the exercise accordingly. If you encounter any difficulties, refer to the hint for guidance.

Once you've completed this task, click the button below the code to check your solution.

Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
Everything was clear?

How can we improve it?

Thanks for your feedback!

In order to feel confident and successfully complete this course, we strongly recommend you complete the following courses beforehand (just click on them to start):

What is Pandas?

pandas is a Python library designed for data processing and analysis.

Why Use Pandas?

Mastering this library is beneficial for data scientists and data analysts alike. With pandas, you can perform tasks such as data grouping, visualization, pivot table creation, and filtering based on specific criteria.

To utilize this library, you must import it. Here's how you can do that:

For ease of use, it's common to import the library using an alias. Here's how to do it:

In this case, pd serves as an alias. So, when invoking functions from this library in the future, you would do it as follows:

Task

To proceed, you'll need to import the pandas library. Review the example above and complete the exercise accordingly. If you encounter any difficulties, refer to the hint for guidance.

Once you've completed this task, click the button below the code to check your solution.

Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
Section 1. Chapter 1
Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
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