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We鈥檒l start this module with a brief intro to lists, one of Python鈥檚 most commonly used data structures. We鈥檒l learn just enough to get us started with loops, which are used to repeat a process or run a block of code multiple times. We鈥檒l get into functions, which are blocks of organized code used to perform a single, related action. We鈥檒l review some of Python鈥檚 built-in functions and learn how to design our own user-defined functions to use as building blocks in our own programs. Along the way, we鈥檒l learn best practices for documenting our code for 2 different audiences: The users who are using our code and want to understand it at a high level, and the programmers who are reading it and want to know how it works.

In this module, we鈥檙e going to start using PyCharm, another IDE for writing and running Python code. It has enhanced features that go way beyond the limited functionality of IDLE, and it鈥檚 also an industry standard. After revisiting lists, including more advanced usage of the commonly used sequence, we鈥檒l take a deep dive into two other very important data structures : sets and tuples. We鈥檒l learn how they can be leveraged to both store and manipulate information. And while we already have some experience working with strings, this module will explore the intricacies and more powerful functionality of strings.

There are multiple ways of loading and storing data in Python. Information can be saved in dictionaries, a data structure that is extremely useful for storing multiple attributes (or data points) about a single thing. Data can also be stored in external files and then loaded into Python. This module will allow us to work with dictionaries in a variety of ways and to interact with the local file system by opening, reading from, and writing to, external files. With these added skills, you鈥檒l begin to get a better sense of the dynamic power of Python and how it can be easily integrated with other systems.