| Students: 1000+
|| Video: 15 Hours
|| Lectures: 92
Chuck is known for his simplistic style of teaching computer programming to people all over the world.
Getting Started with Python 3
This section aims to teach everyone the basics of programming computers using Python. We cover the basics of how one constructs a program from a series of simple instructions in Python. The section has no pre-requisites and avoids all but the simplest mathematics. Anyone with moderate computer experience should be able to master the materials in this section. This section will cover Chapters 1-5 of the textbook “Python for Informatics”. Once a student completes this section, they will be ready to take more advanced programming sections.
Python 3 Data Structures
This section will introduce the core data structures of the Python programming language. We will move past the basics of procedural programming and explore how we can use the Python built-in data structures such as lists, dictionaries, and tuples to perform increasingly complex data analysis. This section will cover Chapters 6-10 of the textbook “Python for Informatics”.
Using Python 3 to Access Web Data
This section will show how one can treat the Internet as a source of data. We will scrape, parse, and read web data as well as access data using web APIs. We will work with HTML, XML, and JSON data formats in Python. This section will cover Chapters 11-13 of the textbook “Python for Informatics”.
Using Databases with Python 3
This section will introduce students to the basics of the Structured Query Language (SQL) as well as basic database design for storing data as part of a multi-step data gathering, analysis, and processing effort. The section will use SQLite3 as its database. We will also build web crawlers and multi-step data gathering and visualization processes. We will use the D3.js library to do basic data visualization. This section will cover Chapters 14-15 of the book “Python for Informatics”.
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