Memory usage analysis in Data Analysis Python - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to import the module used for memory profiling.

Data Analysis Python

import [1]

Drag options to blanks, or click blank then click option'

Apandas

Bsys

Cos

Dmemory_profiler

Attempts:

3 left

💡 Hint

Common Mistakes

Importing unrelated modules like os or pandas.

Using sys which is for system-specific parameters, not memory profiling.

The memory_profiler module is used to analyze memory usage in Python.

2fill in blank

medium

Complete the code to get the current memory usage of the Python process in MB.

Data Analysis Python

import psutil
process = psutil.Process()
mem = process.[1]().rss / (1024 * 1024)
print(f"Memory usage: {mem:.2f} MB")

Drag options to blanks, or click blank then click option'

Amemory_percent

Bmemory_full_info

Cmemory_info

Dmemory_maps

Attempts:

3 left

💡 Hint

Common Mistakes

Using memory_percent which returns a percentage, not bytes.

Using memory_maps which returns memory mapped files info.

The memory_info() method returns memory usage details of the process.

3fill in blank

hard

Fix the error in the code to correctly measure memory usage of a function using a decorator.

Data Analysis Python

@memory_profiler.[1]
def my_function():
    a = [i for i in range(100000)]
    return sum(a)

Drag options to blanks, or click blank then click option'

Aprofile

Bprofiled

Cmeasure

Dmemory

Attempts:

3 left

💡 Hint

Common Mistakes

Using incorrect decorator names like 'profiled' or 'measure'.

Forgetting the decorator symbol '@'.

The @memory_profiler.profile decorator measures memory usage of the decorated function.

4fill in blank

hard

Fill both blanks to create a dictionary comprehension that maps variable names to their memory size in bytes, filtering only variables larger than 1000 bytes.

Data Analysis Python

memory_usage = {var: sys.getsizeof([1]) for var in globals() if sys.getsizeof([2]) > 1000}

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Aglobals()[var]

Blocals()[var]

Cvar

Dglobals()

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'var' directly which is just the variable name string.

Using locals() when variables are in globals().

We use globals()[var] to get the value of each variable by name for size checking.

5fill in blank

hard

Fill all three blanks to create a list comprehension that collects sizes of all list variables in locals() larger than 5000 bytes.

Data Analysis Python

sizes = [sys.getsizeof([1]) for [2], [3] in locals().items() if isinstance([1], list) and sys.getsizeof([1]) > 5000]

Drag options to blanks, or click blank then click option'

Avalue

Bname

Ditem

Attempts:

3 left

💡 Hint

Common Mistakes

Using the variable name string instead of the value for size and type checks.

Mixing up the order of key and value in the loop.

We iterate over locals().items() with name, value. The variable value is used to check type and size.