Here, you can observe that we have created the output list using list comprehension with conditional statements.
Print zen of python code#
The above code creates a list of squares of even numbers from a given input list “Numbers”. To understand this, consider the following example. Hence, we should always break the code into parts and write easy-to-follow statements instead of dense one-liner code. Writing dense code can give us the correct output but it reduces the readability of the code. The statement “Sparse is better than dense” in the zen of Python suggests that we should not try to perform many operations in a single statement. Always try to write a flat code with minimum nesting levels. In a similar manner, we should not use code with many nesting levels using for loops and while loops. This statement suggests we should not create modules and sub-modules for each functionality. Then, we can combine all the code to produce the output for a complex problem. We can create functions and modules with high cohesion and low coupling to implement each step of the solution. However, the solution should be implemented with readable and understandable code modules. It says that if we have a complex problem that cannot be solved in a simple manner, we can choose a complex solution. The statement “complex is better than complicated” is an extension of the statement “simple is better than complex”. Writing simple code will also reduce errors. This implementation is very simple compared to the recursion approach. Here, instead of using recursion, we can use the indexing operator to reverse the string in a single statement as shown below. In the above code, we have used recursion to reverse a string. To understand this, let us write a simple code to reverse a string. If we get a complex problem, we should try to break it down into simpler problems and implement it. If we get a simple problem, we should always use a simple solution. The principle “simple is better than complex” in the zen of Python states that if we can solve a problem with a simple code, we should never try to implement the same functionality with a complex code. This makes the code more clear and easier to understand, especially when the code is read by other developers. The return value is also explicitly annotated with the int data type. In this example, the add() function is defined with explicit data types for the arguments and return value using type hints. For instance, consider the following example. However, introducing readability and beauty to the code is always better as messy code is hard to understand.
We can always write and execute an ugly but working code without focusing on readability. This heuristic in the zen of Python says that we should always write clean and readable code. Now, we will discuss each statement in the zen of Python with examples to understand them in a better manner. You can obtain all the statements in the zen of Python by executing the command “import this” in the Python terminal or IDLE as shown below. Namespaces are one honking great idea - let’s do more of those!.If the implementation is easy to explain, it may be a good idea.If the implementation is hard to explain, it’s a bad idea.Although never is often better than *right* now.Although that way may not be obvious at first unless you’re Dutch.There should be one– and preferably only one –obvious way to do it.In the face of ambiguity, refuse the temptation to guess.Special cases aren’t special enough to break the rules.The statements in the zen of Python are as follows. The Zen of Python is a collection of 20 guidelines or heuristics suggested by Tim Peters.
Print zen of python how to#
This article discusses the zen of Python with examples to help you understand how to write better code in Python. One such collection of guiding principles is the Zen of Python.
With PEP (Python Enhancement Proposals), developers and computer scientists often suggest changes and principles for the Python programming language. Every programming language has some guiding principles.
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