BudiBaduQuiziBadu

Python File Handling Basics Quiz

Python
0 Passed
0% acceptance

A 35-question quiz covering file opening, reading, writing, modes, and the importance of context managers.

35 Questions
~70 minutes
1

Question 1

What is the primary purpose of the `open()` function in Python?

A
To return a file object that allows interaction with a file on the disk.
B
To display the contents of a file on the screen immediately.
C
To create a new folder in the file system.
D
To download a file from the internet.
2

Question 2

Analyze the code below. What happens if 'data.txt' does not exist?

python
f = open('data.txt', 'r')
A
FileNotFoundError is raised.
B
A new empty file is created.
C
It returns None.
D
It opens a temporary file.
3

Question 3

Which file mode should you use to add new content to the end of an existing file without deleting its current contents?

A
'a'
B
'w'
C
'r+'
D
'x'
4

Question 4

Analyze the code below. What is the best practice missing from this snippet?

python
f = open('log.txt', 'w')
f.write('Error occurred')
A
The file is not explicitly closed using f.close().
B
The write mode should be 'wb'.
C
The string must end with a newline.
D
It should use print() instead of write().
5

Question 5

What is the main advantage of using the `with open(...)` statement?

A
It automatically closes the file, even if an error occurs within the block.
B
It reads the file faster.
C
It allows opening multiple files with the same name.
D
It automatically converts the file content to JSON.
6

Question 6

Which method reads the *entire* remaining contents of a file as a single string?

A
read()
B
readline()
C
readlines()
D
readall()
7

Question 7

Analyze the code below. What will be the content of 'test.txt' after execution?

python
with open('test.txt', 'w') as f:
    f.write('Hello')
with open('test.txt', 'w') as f:
    f.write('World')
A
World
B
Hello World
C
HelloWorld
D
Hello World
8

Question 8

What does the `readline()` method return when it reaches the end of the file?

A
An empty string ''
B
None
C
EOFError
D
-1
9

Question 9

Which file mode allows you to both read and write to a file?

A
'r+'
B
'rw'
C
'w+'
D
Both A and C
10

Question 10

Analyze the code below. What is the data type of `lines`?

python
with open('data.txt', 'r') as f:
    lines = f.readlines()
A
List of strings
B
String
C
Dictionary
D
Tuple
11

Question 11

What happens if you try to write to a file opened in `'r'` mode?

A
UnsupportedOperation error (not writable)
B
It silently fails.
C
It changes the mode to write automatically.
D
It writes to a temporary buffer.
12

Question 12

How do you ensure that data written to a file is physically saved to the disk immediately without closing the file?

A
f.flush()
B
f.save()
C
f.commit()
D
f.persist()
13

Question 13

Analyze the code below. Why might the output contain double newlines?

python
with open('file.txt', 'r') as f:
    for line in f:
        print(line)
A
Because `line` keeps the file's newline character, and `print()` adds another one.
B
Because the file is corrupted.
C
Because the loop iterates twice per line.
D
Because read mode adds extra spacing.
14

Question 14

Which mode creates a new file for writing but fails if the file already exists?

A
'x'
B
'n'
C
'w-'
D
'c'
15

Question 15

What is the default mode if you omit the mode argument in `open('file.txt')`?

A
'r' (text read)
B
'w' (text write)
C
'rb' (binary read)
D
'a' (append)
16

Question 16

Analyze the code below. What does `f.seek(0)` do?

python
with open('data.txt', 'r') as f:
    content = f.read()
    f.seek(0)
    content_again = f.read()
A
It moves the file cursor back to the beginning of the file.
B
It deletes the file content.
C
It searches for the number 0 in the file.
D
It closes the file.
17

Question 17

Which method is used to write a list of strings to a file?

A
writelines()
B
writelist()
C
write_all()
D
dump()
18

Question 18

What is the difference between opening a file in `'t'` mode vs `'b'` mode?

A
't' handles text (strings), while 'b' handles binary data (bytes).
B
't' is for temporary files, 'b' is for backup.
C
't' is faster than 'b'.
D
'b' is only for images.
19

Question 19

Analyze the code below. What happens if you iterate directly over the file object `f`?

python
with open('story.txt', 'r') as f:
    for line in f:
        pass
A
It reads the file line by line efficiently.
B
It reads the file character by character.
C
It loads the entire file into memory at once.
D
It throws a TypeError.
20

Question 20

Why is it important to specify the `encoding` parameter (e.g., `encoding='utf-8'`) when opening text files?

A
To ensure the file is read/written correctly across different operating systems.
B
To make the file read-only.
C
To compress the file.
D
It is required by syntax.
21

Question 21

What does the `tell()` method return?

A
The current position of the file cursor (in bytes).
B
The name of the file.
C
The size of the file.
D
The file's encoding.
22

Question 22

Analyze the code below. What is the correct way to strip the newline character from each line read?

python
with open('list.txt') as f:
    line = f.readline()
    clean_line = line.strip()
A
line.strip()
B
line.remove('\n')
C
line.delete_newline()
D
line - '\n'
23

Question 23

Can you use `with open(...)` to open multiple files at once?

python
with open('in.txt') as f1, open('out.txt', 'w') as f2:
    pass
A
Yes, this is valid syntax.
B
No, you must nest them.
C
No, `with` only supports one context manager.
D
Only in Python 4.0.
24

Question 24

What happens if you use `write()` on a file opened in `'a'` mode?

A
The data is added to the end of the file.
B
The file is cleared and then written to.
C
The data is written at the beginning, overwriting existing content.
D
It raises an error.
25

Question 25

Which exception is raised if you try to open a directory as a file?

A
IsADirectoryError
B
FileNotFoundError
C
PermissionError
D
ValueError
26

Question 26

Analyze the code below. What is the value of `f.closed` after the block?

python
with open('data.txt', 'w') as f:
    f.write('hi')
print(f.closed)
A
True
B
False
C
None
D
Error
27

Question 27

What is the purpose of the `buffering` argument in `open()`?

A
To control how data is buffered in memory before writing to disk.
B
To set the file size limit.
C
To encrypt the file.
D
To speed up internet downloads.
28

Question 28

Which method would you use to check if a file is readable?

A
readable()
B
can_read()
C
is_readable()
D
get_mode()
29

Question 29

Analyze the code below. What happens?

python
f = open('new.txt', 'w')
f.write(123)
A
TypeError: write() argument must be str, not int
B
It writes '123' to the file.
C
It writes the byte value 123.
D
It crashes the interpreter.
30

Question 30

What is the correct way to read a file line by line and stop when a specific line is found?

python
with open('log.txt') as f:
    for line in f:
        if 'ERROR' in line:
            print(line)
            break
A
This code is correct and efficient.
B
You must use while True and readline().
C
You must load the whole file first.
D
Break does not work in file loops.
31

Question 31

Which of the following is NOT a valid file mode?

A
'z'
B
'r'
C
'w'
D
'a'
32

Question 32

What happens if you open a file using `open('file.txt', 'w+')`?

A
The file is truncated (emptied) and opened for both reading and writing.
B
The file is opened for reading and writing without truncation.
C
It raises an error if the file exists.
D
It appends to the file.
33

Question 33

How can you check the name of the file associated with a file object `f`?

A
f.name
B
f.filename
C
f.path
D
f.get_name()
34

Question 34

Analyze the code below. What is the content of `data`?

python
with open('file.txt', 'r') as f:
    data = f.read(5)
A
The first 5 characters of the file.
B
The first 5 lines of the file.
C
The first 5 bytes (if binary mode).
D
The 5th character.
35

Question 35

What is the best way to handle file paths to ensure cross-platform compatibility?

A
Use the `os.path` module or `pathlib` library.
B
Always use forward slashes `/`.
C
Always use backslashes `\`.
D
Hardcode the paths.

Other Quiz Categories

JavaScript
47 quizzes
Basics
Variables & Data Types
Operators & Expressions
Rust
30 quizzes
Cargo and Project Setup
Variables and Mutability
Data Types
Golang
29 quizzes
Basics & Syntax
Data Types & Zero Values
Operators & Expressions
C++
26 quizzes
Basics
Variables & Data Types
Operators & Expression
Java
22 quizzes
Java Basics & JVM Fundamentals
Variables, Data Types & Type Casting
Operators & Expressions
Matlab
21 quizzes
Basics & Environment
Variables and Data Type
Arrays and Matric
TypeScript
19 quizzes
Introduction and Overview
Installation and Configuration
Basic Types and Type Annotations
SQL Database
15 quizzes
Foundations and Basics
Basic Query Selection
Filter, Sort, and Alias Essentials
PHP
15 quizzes
Syntax Building Blocks
Variable Naming
Data Types Overview
Linked List
11 quizzes
Introduction
Node Structure and Pointer Fundamentals
Singly Linked List

QUIZZES IN Python

1

Introduction & Core Fundamentals

40

A 40-question quiz covering Python introduction, basic syntax, variables, data types, execution model, indentation rules, and foundational concepts.

2

Data Types Overview

35

A 35-question quiz introducing Python’s core data types, covering numbers, strings, booleans, sequences, mappings, mutability concepts, and how Python treats values at a high level.

3

Type Casting

50

A 50-question quiz covering Python type casting: numeric conversions, string casting, boolean rules, safe casting, error cases, and real-world usage patterns.

4

Operators Overview

50

A 50-question quiz exploring Python’s operator system, including arithmetic, comparison, logical, assignment, membership, identity, and bitwise operators with practical reasoning scenarios.

5

Logic Flow Basics

25

A 25-question quiz exploring Python’s conditional statements, covering if/elif/else logic, nested conditions, truthiness, comparison flow, and real-world decision structures.

6

Iteration Patterns

30

A 30-question quiz exploring Python’s loop structures, including for-loops, while-loops, iteration patterns, break/continue, nested loops, ranges, and real-world loop applications.

7

String Manipulation Fundamentals

35

A 35-question quiz covering Python string manipulation concepts, including slicing, searching, formatting, immutability, transformations, and real-world text-processing patterns.

8

Sequence Collections

30

A 30-question quiz focused on Python lists, covering list creation, indexing, slicing, mutation, iteration, list methods, copying behavior, and practical data-handling scenarios.

9

Python Lists Basics

35

A 35-question quiz covering list creation, indexing, appending, inserting, removing, updating, and length checking.

10

Python Dictionaries

35

A 35-question quiz covering dictionary creation, key-value pairs, accessing data, modifying dictionaries, and checking for keys.

11

Python Tuples & Unpacking

35

A 35-question quiz covering tuple creation, immutability, access, operations, packing/unpacking, and value swapping.

12

Python Sets

35

A 35-question quiz covering set creation, uniqueness, adding/removing items, and mathematical operations like union and intersection.

13

Python Booleans & Truth Values

35

A 35-question quiz covering boolean logic, truthy/falsy values, operators, and conditional expressions.

14

Python Variable Scope Basics

35

A 35-question quiz covering local vs global scope, the global keyword, variable shadowing, and best practices for managing state.

15

File Handling Basics

35

A 35-question quiz covering file opening, reading, writing, modes, and the importance of context managers.

16

Modules and Imports

35

A 35-question quiz covering import syntax, namespace management, standard libraries, and module organization.

17

Random Module

35

A 35-question quiz covering random number generation, selecting elements, shuffling sequences, and managing seeds.

18

Date and Time Basics

35

A 35-question quiz covering datetime objects, current timestamps, formatting, parsing, and calculating time differences.

19

Lambda Functions

35

A 35-question quiz covering anonymous functions, their syntax, usage with map/filter/sort, and their limitations.

20

Exception Handling

35

A 35-question quiz covering try-except blocks, handling multiple errors, using else and finally, and creating custom exceptions.

21

OOP Basics

35

A 35-question quiz covering the fundamentals of Object-Oriented Programming in Python, including classes, objects, attributes, and methods.

22

NumPy Arrays

35

A 35-question quiz covering NumPy array creation, shapes, indexing, slicing, broadcasting, and aggregation.

23

Pandas DataFrames

35

A 35-question quiz covering Pandas DataFrame operations, including column manipulation, row filtering, data import, statistics, missing values, and data types.

24

Matplotlib Visualization

35

A 35-question quiz covering Matplotlib figure structure, axes elements, line charts, labels, legends, and exporting plots.

25

Seaborn Charts

35

A 35-question quiz covering Seaborn's high-level plotting interface, including scatter plots, categorical charts, distributions, themes, and statistical visualizations.

26

Django Framework

60

A comprehensive 60-question quiz covering the Django web framework, from project structure and models to views, templates, and advanced configuration.

27

Flask Framework

60

A 60-question quiz covering the Flask microframework, from app initialization and routing to templates, blueprints, and error handling.

28

Jupyter Notebooks

50

A 50-question quiz covering Jupyter Notebooks, from interface basics and cell types to magic commands, kernel execution, and advanced features.

29

Scikit-Learn Models

50

A 50-question quiz covering the Scikit-Learn machine learning library, from estimator basics and pipelines to model selection and evaluation metrics.