Python for Informatics's official Podcast.

This is the Introductory lecture for Python For Informatics: Exploring Information. It is a bit longer than the rest and give some background and motivation. If you are in a hurry - you could skip to the next lecture and come back later. For a video version of this lecture, a free ebook and a free online course about Python, see www.pythonlearn.com

This is the second lecture for Python For Informatics: Exploring Information covering expressions, variables, and other Pyton language details. We are laying the groundwork for understanding the big picture. For a video version of this lecture, a free ebook and a free online course about Python, see www.pythonlearn.com

This is the third lecture for Python For Informatics: Exploring Information and covers conditional execution. In this chapter we see how computer programs encode decisions and choices that they make. For a video version of this lecture, a free ebook and a free online course about Python, see www.pythonlearn.com

This is the fourth lecture for Python For Informatics: Exploring Information and covers functions. Functions are how we write programs without repeating ourself over and over. Functions a pretty advanced concept and we only cover them lightly in this chapter. For a video version of this lecture, a free ebook and a free online course about Python, see www.pythonlearn.com

This is the fifth lecture for Python For Informatics: Exploring Information and covers iterations or "loops". We see how to make Python do something over and over and look at commonly used loop patterns. We are still not seeing the big picture but starting to look ar "paragraphs" of code. The big picture is coming soon. For a video version of this lecture, a free ebook and a free online course about Python, see www.pythonlearn.com

This is the sixth lecture for Python For Informatics: Exploring Information and covers strings. While early computers mostly focused on numeric computations, today computers spend a lot of time handling text data so we take a look at how programs handle and process text data. For a video version of this lecture, a free ebook and a free online course about Python, see www.pythonlearn.comm

This is the seventh lecture for Python For Informatics: Exploring Information and talks about reading and processing file data. Finally all the work in the previous chapters should start to make sense because we are actually starting to "explore information". For a video version of this lecture, a free ebook and a free online course about Python, see www.pythonlearn.com

This is the eighth lecture for Python For Informatics: Exploring Information and describes our first data structure - Lists. Now that we are working with increasingly larger amounts of information we need more sophisitcated ways or organizing data within our programs. For a video version of this lecture, a free ebook and a free online course about Python, see www.pythonlearn.com

This is the ninth lecture for Python For Informatics: Exploring Information and covers dictionaries. Dictionaries are Python's most powerful way to store and organize data in a program. We are finally able to write programs to handle data that would be impossible for a spreadsheet to handle. For a video version of this lecture, a free ebook and a free online course about Python, see www.pythonlearn.com

This is the tenth lecture for Python For Informatics: Exploring Information. Tuples are a lot like lists - so in this chapter, we kind of are reviewing lists and dictionaries as will as learning about tuples. We also learn about sorting in this chapter. For a video version of this lecture, a free ebook and a free online course about Python, see www.pythonlearn.com

This is the eleventh lecture for Python For Informatics: Exploring Information and completes the first half of the book. Regular expressions allow us to look for patterns in data. They are both very cool and a seem little crazy until you understand them. They are very simple, powerful and useful. For a video version of this lecture, a free ebook and a free online course about Python, see www.pythonlearn.com