When working with time in Python, it is often necessary to add hours to a given workday. This can be useful in various scenarios, such as calculating the end time of a task or determining the duration of a work shift. In this article, we will explore three different ways to solve this problem using Python.

## Option 1: Using datetime.timedelta

The datetime module in Python provides the timedelta class, which allows us to perform arithmetic operations on dates and times. We can utilize this class to add hours to a given workday. Here’s an example:

```
import datetime
def add_hours_to_workday(start_time, hours):
workday = datetime.timedelta(hours=8) # Assuming a standard 8-hour workday
end_time = start_time + datetime.timedelta(hours=hours)
if end_time.weekday() >= 5: # Check if the end time falls on a weekend
end_time += datetime.timedelta(days=2)
return end_time
start_time = datetime.datetime(2022, 1, 1, 9, 0) # Example start time
hours = 4 # Example number of hours to add
end_time = add_hours_to_workday(start_time, hours)
print(end_time)
```

In this code, we define a function `add_hours_to_workday`

that takes a start time and the number of hours to add. We assume a standard 8-hour workday and calculate the end time by adding the specified number of hours to the start time. If the end time falls on a weekend (Saturday or Sunday), we add two additional days to ensure it falls on a workday.

## Option 2: Using pandas

If you are already working with pandas, another option is to use its datetime functionality to add hours to a workday. Here’s an example:

```
import pandas as pd
def add_hours_to_workday(start_time, hours):
workday = pd.Timedelta(hours=8) # Assuming a standard 8-hour workday
end_time = start_time + pd.Timedelta(hours=hours)
if end_time.weekday() >= 5: # Check if the end time falls on a weekend
end_time += pd.Timedelta(days=2)
return end_time
start_time = pd.Timestamp(2022, 1, 1, 9, 0) # Example start time
hours = 4 # Example number of hours to add
end_time = add_hours_to_workday(start_time, hours)
print(end_time)
```

In this code, we define a function `add_hours_to_workday`

that takes a start time and the number of hours to add. We assume a standard 8-hour workday and calculate the end time by adding the specified number of hours to the start time. If the end time falls on a weekend (Saturday or Sunday), we add two additional days to ensure it falls on a workday.

## Option 3: Using arrow

Arrow is a powerful library for working with dates and times in Python. It provides a concise and intuitive API for manipulating, formatting, and converting dates and times. Here’s an example of using arrow to add hours to a workday:

```
import arrow
def add_hours_to_workday(start_time, hours):
workday = arrow.Duration(hours=8) # Assuming a standard 8-hour workday
end_time = start_time + arrow.Duration(hours=hours)
if end_time.weekday() >= 5: # Check if the end time falls on a weekend
end_time = end_time.shift(days=2)
return end_time
start_time = arrow.get(2022, 1, 1, 9, 0) # Example start time
hours = 4 # Example number of hours to add
end_time = add_hours_to_workday(start_time, hours)
print(end_time)
```

In this code, we define a function `add_hours_to_workday`

that takes a start time and the number of hours to add. We assume a standard 8-hour workday and calculate the end time by adding the specified number of hours to the start time. If the end time falls on a weekend (Saturday or Sunday), we shift it by two days to ensure it falls on a workday.

After exploring these three options, it is difficult to determine which one is better as it depends on the specific requirements and the libraries already being used in your project. However, if you are already working with pandas or arrow, using their respective functionalities can provide a more streamlined and concise solution. On the other hand, if you prefer to stick with the standard library, option 1 using datetime.timedelta is a reliable choice.