In this tutorial, you’ll learn how to add key:value pairs to Python dictionaries. You’ll learn how to do this by adding completely new items to a dictionary, adding values to existing keys, and dictionary items in a for loop, and
In this tutorial, you’ll learn how to append a value to a set in Python using the .add() and .update() methods. You’ll learn a brief overview of what Python sets are. Then, you’ll learn how to add a single item
In this tutorial, you’ll learn how to use Python to round a number to a nearest multiple, such as the nearest 2, 5, or 10. Being able to round numbers is a helpful skill, as it often makes them easier
In this series, you’ll learn the key Python concepts you need to know to get started with using Python for data science. The course will take you from a complete beginner all the way through taking on your own machine
Learn how to use Python to choose a random list element, with and without replacement and how to replicate results with a random seed.
Learn how to use Python to get and change the working directory of your code, using the os library and how to identify error codes.
Learn how to use Pandas to calculate the weighted average in Python, using groupby, numpy, and the zip function between two lists.
Learn how to use Python to check if a file or a directory exists, using the pathlib and os libraries, including writing conditional checks.
Learn how to shuffle a Pandas Dataframe using three different methods, including how to be able to reproduce your shuffle results.
In this tutorial, you’ll learn how to remove items from a Python set. You’ll learn how to remove items using the remove method, the discard method, the pop method, and the difference_update method. You’ll learn the differences between each of
Learn how to use Python to sort a string including how to sort strings using the sorted function, with case sensitivity or insensitivity.
Learn how to use Python add multiline comments, both by using single comments on multiple lines and multi-line strings (not as docstrings).
