Zip function in python

a = ("John", "Charles", "Mike") b = ("Jenny", "Christy", "Monica") x = zip(a, b) Definition and Usage The zip() function returns a zip object, which is an iterator of tuples where the first item in each passed iterator is paired together, and then the second item in each passed iterator are paired together etc. If the passed iterators have different lengths, the iterator with the least items decides the length of the new iterator. Syntax

The purpose of this article is to understand how Python built-in functions map(), filter(), and zip() work to make you more efficient with processing data in Python! I will go over how these functions work and provide use-cases with and without the functions to compare. It is important to understand how these functions work, but there is a better way once you're finished reading this! Its called Comprehensions and I write about them in Python's map() function is used to apply a function on all elements of a specified iterable and return a map object. map() will take 2 required positional arguments. 1.) A function to run against iterables. 2.) An iterable (ie. list). def square ( number ): return number * number numbers = [ 1 , 2 , 3 , 4 , 5 ] squared_numbers = map ( square , numbers ) • Using map() we don't need to create an empty list that we append to in a for loop. • We do not need to use square() with parenthesis as the function parameter, as map() will call the function for us, we just pass the function object. • map() will run square() for each item in numbers. Python's filter() function checks a condition of each element in an iterable and returns a filtered data structure only containing elements who match the given conditions. filter() will take 2 required positional arguments. 1.) A function to run against iterables. 2.) An iterable (ie. list). filter ( func , [...]) The function passed to filter() must return a boolean ( True or False) The expected output of thi...

Short Circuiting What do you think will happen if we type the following into Python? 1 / 0 Try it out in Python! You should see a ZeroDivisionError. But what about this expression? True or 1 / 0 It evaluates to True because Python's and and or operators short-circuit. That is, they don't necessarily evaluate every operand. Operator Checks if: Evaluates from left to right up to: Example AND All values are true The first false value False and 1 / 0 evaluates to False OR At least one value is true The first true value True or 1 / 0 evaluates to True Short-circuiting happens when the operator reaches an operand that allows them to make a conclusion about the expression. For example, and will short-circuit as soon as it reaches the first false value because it then knows that not all the values are true. If and and or do not short-circuit, they just return the last value; another way to remember this is that and and or always return the last thing they evaluate, whether they short circuit or not. Keep in mind that and and or don't always return booleans when using values other than True and False. Higher-Order Functions (enable JavaScript) Higher-Order Functions Variables are names bound to values, which can be primitives like 3 or 'Hello World', but they can also be functions. And since functions can take arguments of any value, other functions can be passed in as arguments. This is the basis for higher-order functions. A higher order function is a function that manipulates ot...

• File Handling Guide • | • • Read a File • Write a File • Count Words in File • Get File’s Extension • | • • Copy a File • Move a File • Rename a File • Zip/Unzip a File • Encrypt a File • | • • Create a Directory • Get and Change a Directory • Check if File or Directory Exists • List Files in Directory • Get a Filename from Path • Delete a Directory in Python In many cases, you’ll encounter zipped files (or need to zip files yourself). Because zip files are so common, being able to work with them programmatically is an important skill. In this tutorial, you’ll learn how to zip and unzip files using Python. By the end of this tutorial, you’ll have learned: • How to zip files using Python • How to add files to an existing zip file • How to zip files with password protection (encryption) • How to unzip one file, some files, or all files in a zip file • How to unzip files conditionally Table of Contents • • • • • • • • Understanding the Python zipfile Module Python comes packaged with a module, zipfile, for creating, reading, writing, and appending to a zip file. Because the module is built into Python, there is no need to install anything. In particular, the zipfile module comes with a class, ZipFile, which has many helpful methods to allow you to read and write zip files in Python. Let’s dive into using the module to first learn how to zip files using the zipfile module. How to Zip Files Using Python In order to zip files using Python, we can create a zip file using the Zi...

Introduction Python has touched the hearts of many software developers around the world, thanks to its utility and simplicity. Python provides its users with a number of useful functions and data structures that make working with data easier, including tools used to efficiently loop through data - known as itertools. This guide will show you how to use Python itertools to iterate through objects via: • filter() - The filter() function takes in a provided sequence or iterable along with a filtering criteria (a function or lambda). It then tests every element in the sequence to determine if the element fits the filtering criteria, returning only the elements that match that criteria. • islice() - The islice() function allows the user to loop through an iterable with a start and stop, and returns a generator. • map() - The map() function creates an iterable map object that applies a specified transformation to every element in a chosen iterable. • zip() - The zip() function takes two iterable objects and returns a tuple of paired elements. The first item in both iterables is paired, the second item in both iterables is paired together, and so on. We'll start by defining iterable objects and iteration functions and then proceed to look at some examples of the four iteration functions mentioned above. Note: As of Python 3, filter(), map() and zip() are functionally equivalent to Python 2's itertools functions ifilter(), imap() and izip(). They all return iterators and don't req...

Watch Now This tutorial has a related video course created by the Real Python team. Watch it together with the written tutorial to deepen your understanding: Parallel Iteration With Python's zip() Function Python’s zip() function creates an iterator that will aggregate elements from two or more iterables. You can use the resulting iterator to quickly and consistently solve common programming problems, like creating zip() function and how you can use it to solve real-world problems. By the end of this tutorial, you’ll learn: • How zip() works in both Python 3 and Python 2 • How to use the Python zip() function for parallel iteration • How to create dictionaries on the fly using zip() >>> >>> dir ( __builtins__ ) ['ArithmeticError', 'AssertionError', 'AttributeError', ..., 'zip'] You can see that 'zip' is the last entry in the list of available objects. According to the zip() function behaves as follows: Returns an iterator of tuples, where the i-th tuple contains the i-th element from each of the argument sequences or iterables. The iterator stops when the shortest input iterable is exhausted. With a single iterable argument, it returns an iterator of 1-tuples. With no arguments, it returns an empty iterator. ( You’ll unpack this definition throughout the rest of the tutorial. As you work through the code examples, you’ll see that Python zip operations work just like the physical zipper on a bag or pair of jeans. Interlocking pairs of teeth on both sides of the zipper are p...