Name:
[002] Ian Ozsvald
Member:
90 months
Authored:
181 videos
Description:
I am the co-founder of ShowMeDo (see http://showmedo.com/about), author of `The Screencasting Handbook <http://thescreencastinghandbook.com>`_ and the founder of the professional screencast production company `ProCasts <http://procasts.co.uk>`_:
.. image:: http://procasts.co.uk/media/procasts_sma ...
Python Beginners - File I/O [ID:716]
a series of video-tutorials by Ian Ozsvald
Learning basic file input/output opens up the world of reading data in, manipulating it and exporting or storing it for future use.
In this series we cover reading and writing text files, examples of binary files and using the built-in cPickle (serialisation) module.
Video Tutorials
1. 2 Minute Introduction (File I/O)
This 2 minute introduction covers the following four episodes where we cover reading text files into Python, reading and writing text files, reading and writing binary files and persisting data with cPickle.
68 votes
2. Reading Text Files with Python
Here we use open to open a text file and read its contents in in one go.
Next we iterate over the lines printing them to the screen.
20 votes
3. Reading and Writing Text Files
Next we build upon the previous episode, this time we use raw_input to ask the user a question after every line is shown.
Having gathered the answers we write out a new text file which combines both the originally read data and the user's input.
13 votes
4. Reading and Writing Binary Files
Binary files are a large topic. Rather than dwell on Windows-specifics (because Binary files are most relevant to Windows machines) instead I link to a number of examples and then give an example of manipulating a binary image file using the Python Image Library.
First, read up on File objects and see lots of uses in this long file i/o tutorial. Next, if you need the csv library read on the use [...]
11 votes
5. Serialising for persistence with cPickle
cPickle lets us serialise our data very simply to a file. This means we can build up a datastore that is persistent between runs of our Python code and we don't need to write any parsers to load it back in - we just un-pickle it.
To understand the limitations, see what can and can't be pickled.
9 votes
Thanks man