Course Content
Pandas First Steps
Pandas First Steps
What 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:
Swipe to show code editor
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 desktop for real-world practiceContinue from where you are using one of the options belowThanks for your feedback!
What 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:
Swipe to show code editor
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 desktop for real-world practiceContinue from where you are using one of the options belowThanks for your feedback!
What 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:
Swipe to show code editor
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 desktop for real-world practiceContinue from where you are using one of the options belowThanks 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:
Swipe to show code editor
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 desktop for real-world practiceContinue from where you are using one of the options belowSwitch to desktop for real-world practiceContinue from where you are using one of the options below