Explore puzzles designed to enhance your critical thinking and problem-solving skills using pandas. Gain insights into common pitfalls and sharpen your data manipulation techniques.

test.tar.gz

test

test2

Puzzles are a great way to practice your critical thinking and problem-solving skills. This course assumes a basic understanding of pandas.  The teasers and puzzles in this course are designed to help you practice what you already know and help avoid future mistakes.

Pandas Brain Teasers

# Try it yourself
Try executing the code below to see the result.

import numpy as np
import pandas as pd

s = pd.Series([1, np.nan, 3])
print(s[~(s == np.nan)])

# Explanation
We covered some floating-point oddities in the "[Multiplying](https://www.educative.io/courses/pandas-brain-teasers/multiplying-values-of-pandas-series)" puzzle. The `NaN`
(or `np.nan`) is another oddity. The name **NaN** means not a number. In programming, NaN is used in these two scenarios:
1. When the code calls for computation that cannot be completed.
2. If values are missing.

Here's an example of a computation that cannot be completed:
```py
In [1]: np.float64(0)/np.float64(0)
RuntimeWarning: invalid value encountered in \
double_scalars np.float64(0)/np.float64(0)
Out[1]: nan
```
We see a warning but not an exception. The return value is `nan`, which doesn't equal any number, including itself.

Let's find out how pandas series works with NaN.

Before We Begin

Puzzles

Wrapping Up

Logical Operators with Pandas Series

Try it yourself

Explanation