確かに！これがPython版のプログラムだ：

```python
import csv

# initialize a dictionary to store IP addresses and their count
ip_counts = {}

# read in the CSV file
with open("server_log.csv") as csvfile:
    reader = csv.reader(csvfile)
    # iterate through each row of the CSV
    for row in reader:
        # get the IP address from the first column
        ip = row[0]
        # if the IP address already exists in the dictionary, increment its count, otherwise initialize its count to 1
        if ip in ip_counts:
            ip_counts[ip] += 1
        else:
            ip_counts[ip] = 1

# sort the dictionary by the values (counts) and reverse to get the top 5
top_5 = sorted(ip_counts.items(), key=lambda x: x[1], reverse=True)[:5]

# output the top 5 IP addresses
print("The top 5 IP addresses are:")
for ip, count in top_5:
    print("{}: {} requests".format(ip, count))
```
Certainly! Here's a Python version of the program:

```python
import csv

# initialize a dictionary to store IP addresses and their count
ip_counts = {}

# read in the CSV file
with open("server_log.csv") as csvfile:
    reader = csv.reader(csvfile)
    # iterate through each row of the CSV
    for row in reader:
        # get the IP address from the first column
        ip = row[0]
        # if the IP address already exists in the dictionary, increment its count, otherwise initialize its count to 1
        if ip in ip_counts:
            ip_counts[ip] += 1
        else:
            ip_counts[ip] = 1

# sort the dictionary by the values (counts) and reverse to get the top 5
top_5 = sorted(ip_counts.items(), key=lambda x: x[1], reverse=True)[:5]

# output the top 5 IP addresses
print("The top 5 IP addresses are:")
for ip, count in top_5:
    print("{}: {} requests".format(ip, count))
```