In Python, the arrow symbol (->) appears in function definitions as a notation to indicate the expected return type. This notation is optional, but when you include it, you clarify what data type a function should return: >>> def get_number_of_titles(titles: list[str]) -> int: … return len(titles) … You may have observed that not all Python code includes this particular syntax. What does the arrow notation mean? In this    

Interactive Quiz ⋅ 10 QuestionsBy Ian Eyre Share Challenge yourself with this quiz and see how much you understand about dropping null values in pandas. Working through this quiz is a great way to revisit what you learned in the How to Drop Null Values in pandas tutorial. You’ll find most of the answers in the tutorial content, but for some of the questions, you might need to do some extra digging. The quiz contains 10 questions and there is […]

Missing values can derail your analysis. In pandas, you can use the .dropna() method to remove rows or columns containing null values—in other words, missing data—so you can work with clean DataFrames. In this tutorial, you’ll learn how this method’s parameters let you control exactly which data gets removed. As you’ll see, these parameters give you fine-grained control over how much of your data to clean. Dealing with null values is essential for keeping datasets clean and avoiding the issues […]

Interactive Quiz ⋅ 9 QuestionsBy Martin Breuss Share Ready to revisit how Python functions work? In this quiz, you’ll practice defining and calling functions, using positional and keyword arguments, managing defaults, and writing docstrings. You’ll also get hands-on with collecting extra arguments and enforcing how callers pass them. Sharpen your skills by applying the concepts from Defining and Calling Functions in Python. The quiz contains 9 questions and there is no time limit. You’ll get 1 point for each correct […]

Interactive Quiz ⋅ 11 QuestionsBy Stephen Gruppetta Share This quiz helps you practice sorting dictionaries by keys, values, and custom rules in modern Python. You’ll revisit how insertion order works, when to use different views, and how to rebuild sorted dictionaries. You’ll also learn best practices for sorting dictionaries efficiently. For a complete overview, check out Sorting Dictionaries: Keys, Values, and More. The quiz contains 11 questions and there is no time limit. You’ll get 1 point for each correct […]

Python’s .split() method lets you divide a string into a list of substrings based on a specified delimiter. By default, .split() separates at whitespace, including spaces, tabs, and newlines. You can customize .split() to work with specific delimiters using the sep parameter, and control the amount of splits with maxsplit. By the end of this video course, you’ll understand that: You split a string by spaces in Python using .split() without arguments. Python’s .split() method can split on custom delimiters […]

Python is making history, and headlines. The much-anticipated Python: The Documentary premiered last month, capturing 34 years of programming history. But Python isn’t just looking back, it’s also moving forward at breakneck speed. The recent developer surveys revealed Python’s explosive growth. At the same time, the Python Software Foundation paused its grants program amid unprecedented demand, PyPI implemented multiple security enhancements, while JetBrains announced a transition for PyCharm Community Edition into a unified product model. Here’s what’s been happening in […]

Interactive Quiz ⋅ 7 QuestionsBy Vishal Shrestha Share Ready to brush up on Python’s string splitting skills? This quiz will help you practice how to use split(), handle whitespace, manage delimiters, and even tackle trickier patterns with regex. You’ll get hands-on with maxsplit, explore differences between split() and rsplit(), and see how to handle edge cases. For a deeper dive, check out the Real Python course on string splitting. The quiz contains 7 questions and there is no time limit. […]

Interactive Quiz ⋅ 6 QuestionsBy Leodanis Pozo Ramos Share In this quiz, you’ll test your understanding of uv vs pip: Managing Python Packages and Dependencies. With this knowledge, you’ll be able to confidently choose between pip, the default and widely supported package installer, and uv, the newer modern project manager. You’ll dig into install speeds, locking mechanisms, dependency management, and the implications for different environments and workflows. The quiz contains 6 questions and there is no time limit. You’ll get […]