Practice Working with Files - 5 | Python for Data Science | Data Science Basic
Students

Academic Programs

AI-powered learning for grades 8-12, aligned with major curricula

Engineering Courses
Professional

Professional Courses

Industry-relevant training in Business, Technology, and Design

Certifications
Games

Interactive Games

Fun games to boost memory, math, typing, and English skills

Working with Files

5 - Working with Files

Enroll to start learning

You’ve not yet enrolled in this course. Please enroll for free to listen to audio lessons, classroom podcasts and take practice test.

Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What command is used to read a CSV file into a DataFrame using Pandas?

💡 Hint: Think about the function that starts with 'pd'.

Question 2 Easy

What does the command df.to_csv() do?

💡 Hint: Consider the output format.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What function is used to read a CSV file in Pandas?

pd.read_csv()
pd.write_csv()
pd.load_csv()

💡 Hint: It starts with 'read'.

Question 2

Is the statement 'DataFrames can be saved to CSV format using df.to_csv()' true or false?

True
False

💡 Hint: Recall what the 'to_' prefix signifies.

Get performance evaluation

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

You have a CSV file named 'student_records.csv' with student names and grades. Write a Python code snippet that reads the file and outputs the grade statistics.

💡 Hint: Start by reading the file to load the data.

Challenge 2 Hard

Consider you need to keep track of changes in your DataFrame after processing it. Illustrate how you would save the modified DataFrame back to 'student_records.csv', overwriting the existing file.

💡 Hint: Remember the command for writing to CSV.

Get performance evaluation

Reference links

Supplementary resources to enhance your learning experience.