Which of the following is a standard practice to guarantee that file resources are safely released after use?

with open(...) (Context Manager)

Write a Python code snippet using a context manager to open a file named "settings.json" for reading and print its contents.

```python with open('settings.json', 'r') as f: print(f.read()) ```

Write a Python code snippet using `pathlib` to create a `Path` object for a file named "data.csv".

```python from pathlib import Path p = Path('data.csv') print(p) ```

Write a Python code snippet to read each row of a CSV file as a dictionary using csv.DictReader . Test your code in a compiler and check the output.

```python import csv with open('file.csv', 'r') as f: reader = csv.DictReader(f) for row in reader: print(row) ```

Write a Python code snippet that demonstrates how a context manager ensures a file is closed even if an error occurs.

```python try: with open('test.txt', 'r') as f: raise Exception("Error!") except Exception as e: print("Caught exception:", e) # File is closed automatically ```

Write a Python code snippet using `pathlib` to check if a directory named "my_folder" exists.

```python from pathlib import Path p = Path('my_folder') print(p.is_dir()) ```

Write a Python code snippet that safely reads a file and ensures it is closed even if an exception occurs.

```python try: with open('example.txt', 'r') as f: print(f.read()) except Exception as e: print("Error:", e) ```

Write a Python code snippet to process each row of a CSV file as a dictionary and explain why using `csv.DictReader` is beneficial.

```python import csv with open('data.csv', 'r') as f: reader = csv.DictReader(f) for row in reader: print(row) # DictReader maps column headers to keys, making access easier. ```

Write a Python code snippet using `pathlib` to iterate through all ".txt" files in a directory and print their contents safely.

```python from pathlib import Path for file in Path('.').glob('*.txt'): with open(file, 'r') as f: print(f.read()) ```

Write a Python code snippet that opens a file without a context manager and explain the potential issues. Then, rewrite the code using a context manager to fix the problem.

```python # Without context manager f = open('test.txt', 'r') print(f.read()) # Potential issue: file may not be closed properly. # With context manager with open('test.txt', 'r') as f: print(f.read()) # File is closed automatically. ```

How does `pathlib` improve code readability and maintainability for cross-platform file path operations compared to `os.path`?

```python from pathlib import Path p = Path('folder') / 'file.txt' print(p) # pathlib uses objects and operators, making code more readable and cross-platform. ```

LECTURE 05 Flashcards (25.11.2025) Flashcards

Student preview

20 questions

Show all answers

1.

FLASHCARD QUESTION

Front

True or False: Using the `with open()` statement in Python ensures that the file is closed automatically after the block is executed.

Back

True

2.

FLASHCARD QUESTION

Front

Which module is recommended for modern, object-oriented file and directory path handling in Python?

Back

pathlib

3.

FLASHCARD QUESTION

Front

True or False: The `csv.DictReader` object reads each row of a CSV file as a dictionary, using the column headers as keys.

Back

True

4.

FLASHCARD QUESTION

Front

Which of the following is NOT a benefit of using a context manager for file operations?

Back

Cross-platform path handling

5.

FLASHCARD QUESTION

Front

True or False: If you open a file with `open()` but forget to call `close()`, the operating system will always immediately free the resource.

Back

False

6.

FLASHCARD QUESTION

Front

Which Python object allows you to read CSV files as dictionaries?

Back

csv.DictReader

7.

FLASHCARD QUESTION

Front

What does the 'r' mode signify when opening a file in Python?

Back

Read mode

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