Python One Line With Statement

The with statement replaces former try…finally blocks in Python. It ensures that clean-up code is executed. For example, it closes open files before leaving the block. Consider this code example (assuming this code is stored in a file named ‘code.py’):

with open(‘code.py’) as code:
print(code.read())

The output of this code would be the code itself (for nerds: a piece of code that generates itself is called a Quine):

”’ OUTPUT
with open(‘code.py’) as code:
print(code.read())

”’

No matter what goes wrong inside the with block, Python will close the open file before moving on in the code. This way, you don’t need to enclose the

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NumPy arccos()

The NumPy arccos() function is the trigonometric inverse cosine function so that, if y = cos(x), then x = arccos(y). If you apply it to a NumPy array, it performs the function element-wise.

numpy.arccos(x, out=None, where=True, )

ArgumentsTypeDescriptionxarray_likex-coordinate on the unit circle. For real arguments, the domain is [-1, 1].outndarray, None, or tuple of ndarray and None(Optional.) A location into which the result is stored. If provided, it must have a shape that the inputs broadcast to. If not provided or None, a freshly-allocated array is returned. A tuple (possible only as a keyword argument) must have length equal to the number

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Python Freelancing: My First Fiverr Gig and How I Solved It

Basic Webscraping Script in Python | Requests | BeautifulSoup | ArgParse

Sold Gig ($35)

This is the gig description I offered on my profile to get my first gig:

An email marketing company hired me to write a Python script that satisfies the following requirements.

Requirements

What is the input? (file, file type, email, text,…) File with list of email addresses (one per line)What is the output? (file, file type, text, csv, …) File with all email addresses that are from a disposable email provider:https://gist.github.com/michenriksen/8710649Where does the input come from? (user input from the console, specific path,…) How should the input be processed? Where should

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Python One Line While Loop [A Simple Tutorial]

Python is powerful — you can condense many algorithms into a single line of Python code. So the natural question arises: can you write a while loop in a single line of code? This article explores this mission-critical question in all detail.

How to Write a While Loop in a Single Line of Python Code?

There are three ways of writing a one-liner while loop:

Method 1: If the loop body consists of one statement, write this statement into the same line: while True: print(‘hi’). This prints the string ‘hi’ to the shell for as long as you don’t interfere or your operating

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Python One Line For Loop Lambda

Problem: Given a collection. You want to create a new list based on all values in this collection. The code should run in a single line of code. How do you accomplish this? Do you need a lambda function?

Example: Given an array a = [1, 2, 3, 4]. You need to create a second array b with all values of a—while adding +1 to each value. Here’s your multi-liner:

a = [1, 2, 3, 4]
b = []
for x in a:
b.append(x+1)
print(b)
# [2, 3, 4, 5]

How do you accomplish this in a single line of code?

Answer: No, you don’t need a lambda

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NumPy argpatition()

numpy.argpartition(a, kth, axis=-1, kind=’introselect’, order=None)

The NumPy argpatition function performs an indirect partition along the given axis using the algorithm specified by the kind keyword. It returns an array of indices of the same shape as a that index data along the given axis in partitioned order.

ArgumentsTypeDescriptioncarray_like or poly1d objectThe input polynomials to be multipliedkthinteger or sequence of integersElement index to partition by. The k-th element will be in its final sorted position and all smaller elements will be moved before it and all larger elements behind it. The order all elements in the partitions is undefined. If provided with a

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Python One Line For Loop [A Simple Tutorial]

Python is powerful — you can condense many algorithms into a single line of Python code. So the natural question arises: can you write a for loop in a single line of code? This article explores this mission-critical question in all detail.

How to Write a For Loop in a Single Line of Python Code?

There are two ways of writing a one-liner for loop:

Method 1: If the loop body consists of one statement, simply write this statement into the same line: for i in range(10): print(i). This prints the first 10 numbers to the shell (from to 9). Method 2: If

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Python One Line For Loop With If

This tutorial will teach you how to write one-line for loops in Python using the popular expert feature of list comprehension. After you’ve learned the basics of list comprehension, you’ll learn how to restrict list comprehensions so that you can write custom filters quickly and effectively.

Are you ready? Let’s roll up your sleeves and learn about list comprehension in Python!

List Comprehension Basics

The following section is based on my detailed article List Comprehension [Ultimate Guide]. Read the shorter version here or the longer version on the website—you decide!

This overview graphic shows how to use list comprehension statement to create Python lists

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numpy.polymul

numpy.polymul(a1, a2)

The numpy.polymul function finds the product (multiplication) of two polynomials a1 and a2. As an input, use either poly1d objects or one-dimensional sequences of polynomial coefficients. If you use the latter, arange this polynomial sequence naturally from highest to lowest degree.

ArgumentsTypeDescriptiona1, a2array_like or poly1d objectThe input polynomials to be multipliedReturn Valuendarray or poly1d objectThe polynomial resulting from the multiplication of the inputs. If either inputs is a poly1d object, then the output is also a poly1d object. Otherwise, it is a 1D array of polynomial coefficients from highest to lowest degree.

Examples

import numpy as np

print(np.polymul([1, 2, 3], [2, 3, 4]))
#

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NumPy polymulx()

numpy.polynomial.polynomial.polymulx(c)

The numpy.polymulx function multiplies the polynomial c with a value x which is the independent variable.

ArgumentsTypeDescriptioncarray_like or poly1d objectThe input polynomials to be multiplied

The following table shows the return value of the function:

TypeDescriptionReturn Valuendarray or poly1d objectThe polynomial resulting from the multiplication of the inputs. If either inputs is a poly1d object, then the output is also a poly1d object. Otherwise, it is a 1D array of polynomial coefficients from highest to lowest degree.

Let’s dive into some examples to show how the function is used in practice:

Examples

import numpy as np
import numpy.polynomial.polynomial as poly

print(poly.polymulx([0]) == [0])
print(poly.polymulx([1]) == [0, 1])
for i in

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