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Pandas First Steps
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Pandas First Steps

Pandas First Steps

1. The Very First Steps
What is pandas? SeriesCreating a SeriesDataFrameSeries QuizCreating a DataFrame QuizAdding a New ColumnInserting a New ColumnDeleting a Row/Column Matching the FunctionsWorking with ColumnsExtracting Columns Quiziloc BasicsUsing iloc
2. Reading Files in Pandas
CSV FilesTXT FilesWorking with Files QuizAccessing the Columns
3. Analyzing the Data
Viewing the DataHead QuizHead and Tail QuizInformation on the DataColumn Names and Data TypesFinding Null ValuesIdentifying Null Values QuizDropping Null ValuesFilling Null ValuesNull Values QuizDescribing the DataCalculating Descriptive Statisticsmax() and min()Statistical Operations Quizsum() and count()Unique Values

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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