Installing Pandas - Interactive Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to install the pandas library using pip.

Pandas

pip install [1]

Drag options to blanks, or click blank then click option'

Amatplotlib

Bnumpy

Cpandas

Dscipy

Attempts:

3 left

💡 Hint

Common Mistakes

Typing a different library name like numpy or matplotlib.

Forgetting to use pip before install.

The command pip install pandas installs the pandas library, which is used for data analysis in Python.

2fill in blank

medium

Complete the code to import pandas with the common alias.

Pandas

import [1] as pd

Drag options to blanks, or click blank then click option'

Anumpy

Bmatplotlib

Cscipy

Dpandas

Attempts:

3 left

💡 Hint

Common Mistakes

Importing the wrong library.

Not using the alias or using a different alias.

We import pandas as pd to use a short and common alias for easier coding.

3fill in blank

hard

Fix the error in the command to upgrade pandas using pip.

Pandas

pip install --[1] pandas

Drag options to blanks, or click blank then click option'

Ainstall

Bupgrade

Cupdate

Dupgrade-package

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'update' instead of 'upgrade'.

Forgetting the double dashes before the option.

The correct pip option to upgrade a package is --upgrade.

4fill in blank

hard

Fill both blanks to check the installed pandas version in Python.

Pandas

import pandas as [1]
print(pd.[2])

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Apd

Bversion

C__version__

Dver

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'version' or 'ver' instead of '__version__'.

Using a different alias than 'pd'.

We import pandas as pd and print pd.__version__ to see the installed version.

5fill in blank

hard

Fill all three blanks to create a DataFrame after installing pandas.

Pandas

import [1] as pd

data = {'Name': ['Alice', 'Bob'], 'Age': [25, 30]}

df = pd.[2]([3])
print(df)

Drag options to blanks, or click blank then click option'

Apandas

BDataFrame

Cdata

DSeries

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'Series' instead of 'DataFrame'.

Passing wrong variable name to the constructor.

We import pandas as pd, then create a DataFrame from the dictionary data using pd.DataFrame(data).