Psudocode to Python Word Count

The video is a follow-up to a previous tutorial and focuses on implementing a word count program in Python. It takes the viewer step-by-step through the process of translating a plan into Python code.

Key Points:
1. **Tokenizing Text**: The first step is to split the text into individual words, often referred to as "tokens" in natural language processing.
2. **Lowercasing and Stripping Punctuation**: Each token is converted to lowercase and stripped of any punctuation like commas and periods.
3. **Using Dictionaries**: A Python dictionary named `counts` is used to keep track of the frequency of each word.
4. **Checking and Counting**: The `.get()` method is used to check if a word already exists in the dictionary. If it does, its count is incremented; otherwise, it's added to the dictionary with a count of 1.
5. **Compiling Results**: A string named `stats` is used to compile the final word count. It iterates over each key-value pair in the dictionary and formats them into a string.

#### Code Snippets:
- Tokenizing: `tokens = text.split(" ")`
- Lowercasing and Stripping: `word = token.lower().replace(",", "").replace(".", "")`
- Dictionary Operations:
```python
if counts.get(word):
counts[word] += 1
else:
counts[word] = 1
```
- Compiling Results:
```python
for word, count in counts.items():
stats += f"{word}: {count}\n"
```

Try extending the code to handle additional punctuation marks and edge cases. Validate your implementation with various test cases.