Practicing Python With CSV Files and Extracting Values With "filter()" | Real Python Podcast #66
Are you ready to practice your Python skills some more? There is a new set of practice problems prepared for you to tackle, and this time they're based on working with CSV files. This week on the show, David Amos is back, and he's brought another batch of PyCoder's Weekly articles and projects.
David shares an article about functional programming with a focus on the "filter" function. The tutorial covers how to process an iterable and extract the items that satisfy a given condition. It also covers combining filter with other functional tools, and compares it to coding with Pythonic tools like list comprehensions and generator expressions.
👉 Links from the show: https://realpython.com/podcasts/rpp/66/
We cover several other articles and projects from the Python community including, Excel, Python, and the future of data science, a Bayesian analysis of Lego prices in Python, why can't comments appear after a line continuation character, teaching Python on the Raspberry Pi400 at the public library, a cross-platform editor designed for writing novels built with Python and Qt, and a text user interface with rich as the renderer.
Topics:
00:00:00 -- Introduction
00:02:29 -- Excel, Python, and the Future of Data Science
00:07:50 -- Python Practice Problems: Parsing CSV Files
00:17:09 -- Sponsor: Digital Ocean's App Platform
00:17:45 -- A Bayesian Analysis of Lego Prices in Python With PyMC3
00:23:02 -- Why Can't Comments Appear After a Line Continuation Character?
00:28:40 -- Python's filter(): Extract Values From Iterables
00:34:57 -- Video Course Spotlight
00:36:24 -- How I Teach Python on the Raspberry Pi 400 at the Public Library
00:46:23 -- novelWriter: Cross-Platform Editor Designed for Writing Novels Built With Python and Qt
00:48:02 -- textual: A Text User Interface With Rich as the Renderer
00:54:58 -- Thanks and goodbye
👉 Links from the show: https://realpython.com/podcasts/rpp/66/
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