Python Basics Exercises: Reading and Writing Files (Summary)
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.
00:00
Congratulations on making it to the last lesson of this Python Basics Exercises video course. In this course, you practiced accessing files with a Path
object from the pathlib
module, reading and writing string data from and to text files, processing text files line by line, converting Python lists to records stored in a CSV file and the other way around, as well as converting between CSV records and Python dictionaries.
00:29 If you’d like to deepen your knowledge about reading and writing files in Python even more, then have a look at these additional resources available on Real Python.
00:39 Bear in mind that some of these are advanced tutorials that may require a bit more Python experience before diving in.
00:47 As always, the slides for this course are available for download in the supporting material dropdown below this video.
00:55 Thanks again for joining me in this course, and I hope to see you around next time.
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