Three principles from zen of python how to#
Three principles from zen of python code#

What is the 7th idiom of the Zen of Python? Type and run the command import this within your IPython console and answer the following question: Let's take a look at one of the idioms listed in these guiding principles. One little Easter Egg in Python is the ability to print the Zen of Python using the command import this. The Zen of Python is one of these PEPs and is documented as PEP20. Python has hundreds of Python Enhancement Proposals, commonly referred to as PEPs. In the video, we covered the Zen of Python written by Tim Peters, which lists 19 idioms that serve as guiding principles for any Pythonista. You'll explore these, and other, Pythonic concepts later on in the course, but for now, this is just a taste of things to come!

Three principles from zen of python code#

Remember, Pythonic code = efficient code. The important thing to notice here is that following some of Python's guiding principles allows you to write cleaner and more efficient code. Great work! Don't get too caught up in the coding concepts just yet (you'll practice using lists, for loops, and list comprehensions later on). The best Pythonic way of doing this is by using list comprehension. # Print the list created by using list comprehensionīest_list = # Print the list created by looping over the contents of names # Print the list created using the Non-Pythonic approachĪ more Pythonic approach would loop over the contents of names, rather than using an index variable. Print the list, new_list, that was created using a Non-Pythonic approach. Let's explore some more Pythonic ways of doing this. In other programming languages, the typical approach is to create an index variable (i), use i to iterate over the list, and use an if statement to collect the names with six letters or more: Suppose you wanted to collect the names in the above list that have six letters or more. In this exercise, you'll explore both the Non-Pythonic and Pythonic ways of looping over a list. In the context of this course, what is meant by efficient Python code?Ĭode that executes quickly for the task at hand, minimizes the memory footprint and follows Python's coding style principles. This chapter builds a foundation for the concepts covered ahead. You'll explore Python's Standard Library, learn about NumPy arrays, and practice using some of Python's built-in tools. In this chapter, you'll learn what it means to write efficient Python code. After completing this course, you'll have the necessary tools to start writing efficient Python code! Then, you'll practice eliminating these bottlenecks, and other bad design patterns, using Python's Standard Library, NumPy, and pandas.

Three principles from zen of python how to#

We'll explore how to time and profile code in order to find bottlenecks. In this course, you'll learn how to use Python's built-in data structures, functions, and modules to write cleaner, faster, and more efficient code. Writing efficient Python code can help reduce runtime and save computational resources, ultimately freeing you up to do the things you love as a Data Scientist. As a Data Scientist, the majority of your time should be spent gleaning actionable insights from data - not waiting for your code to finish running.