Well done! By completing this video course, you’ve reinforced your ability to effectively read and write plain text files using the Path.open()
method and the built-in open()
function.
You’ve also practiced handling CSV files, the commonly used format for comma-separated values, using Python’s csv
module.
In this video course, you’ve practiced:
- Differentiating between text and binary files
- Exploring character encodings and line endings
- Working seamlessly with file objects in Python
- Successfully reading and writing character data in various file modes
- Using important methods such as
open()
,Path.open()
, and thewith
statement - Leveraging the power of the
csv
module to manipulate CSV data
To continue your learning journey, check out these video courses:
- Reading and Writing Files in Python
- Practical Recipes for Working With Files in Python
- Reading and Writing CSV Files
- Reading and Writing Files With pandas
- Context Managers and Python’s
with
Statement - Using Python’s
pathlib
Module
You might also enjoy these written tutorials:
- Reading and Writing Files in Python (Guide)
- Working With Files in Python
- Reading and Writing CSV Files in Python
- Python Practice Problems: Parsing CSV Files
- Why Is It Important to Close Files in Python?
- Python’s
pathlib
Module: Taming the File System
Now that you’ve flexed your coding muscles, you can move on to other topics in the Python Basics learning path.
Congratulations, you made it to the end of the course! What’s your #1 takeaway or favorite thing you learned? How are you going to put your newfound skills to use? Leave a comment in the discussion section and let us know.