Whether you’re just getting to know a dataset or preparing to publish your findings, visualization is an essential tool. Python’s popular data analysis library, pandas, provides several different options for visualizing your data with .plot(). Even if you’re at the beginning of your pandas journey, you’ll soon be creating basic plots that will yield valuable insights into your data. In this course, you’ll learn: What the different types of pandas plots are and when to use them How to get […]

Python supports a wide range of arithmetic operators that you can use when working with numbers in your code. One of these operators is the modulo operator (%), which returns the remainder of dividing two numbers. Modular operations are useful to check if a number is even or odd, simplifying cycling through data, and doing non-decimal based units conversion. In this course, you’ll learn: How modulo works in mathematics How to use the Python modulo operator with different numeric types […]

PyQt’s layout managers provide a user-friendly and productive way of arranging graphical components, or widgets, on a GUI. Laying out widgets properly will make your GUI applications look polished and professional. Learning to do so efficiently and effectively is a fundamental skill for you to get up and running with GUI application development using Python and PyQt. In this course, you’ll learn: What the benefits are of using PyQt’s layout managers How to programmatically lay out widgets on a GUI […]

There are a variety of ways of storing and managing data in your Python programs, and the choice of the right data structure will affect the readability of your code, ease of writing, and performance. Python has a wide variety of built-in mechanisms that meet most of your data structure needs. This course introduces you to two types of data structures: dictionaries and arrays. There are multiple types and classes for both of these data structures and this course discusses […]