Summary: One of the following methods can be used to check if a list is empty :- Boolean operator not Explicit check using len() Simple Work Around With [] Using .size() with NumPy Using Exception Handling with iter() method Problem: Given a list; how to check if it is empty? Example: Consider the given list …
Summary: To access the index of iterables like lists in Python, use one of the following methods: Use enumerate() function. Use a counter variable with For Loop/While Loop. Use a list comprehension. Use the NumPy library. Use the itertools module. Introduction An index can be considered as the position of an element in an ordered …
If you run the following code, you’ll experience a special ValueError: The output will be this error message: Try It Yourself in our interactive browser shell: Solution: Using the Numpy functions called logical_and() and logical_or() instead of Python’s logical operators (“and” and “or”) is the solution. Why does the ValueError occur at all? Many programmers …
Life is unpredictable. Sometimes good things happen out of the blue like you find $100 on the floor. And sometimes bad things happen, like your flight being canceled because of bad weather. Most programming languages have a module to deal with randomness. Python is no exception coming with the module named random and in this …
Python’s Random Module – Everything You Need to Know to Get Started Read More »
Summary: Python Infinity is an undefined value (negative or positive) such that positive infinity is greater than while negative infinity is lesser than any other value in a given code. The numerous ways of using Python infinity are: Using float(‘Inf’) and float(‘-Inf’) Using the math module. Using the decimal module. Using the “Numpy” library. Using …
Python freelancers earn $51 per hour on average. But how do they do it? In the following video I show you the top five trending gigs for Python freelancers: In summary, these are the most trending jobs how Python freelancers earn money in 2020: Create educational content:. You can write blog articles for blog owners, …
Top 5 Python Freelancer Jobs to Earn $51 per Hour on Upwork or Fiverr Read More »
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. Arguments Type Description x array_like x-coordinate on the unit circle. For real arguments, the domain is [-1, 1]. out ndarray, None, or …
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. Arguments Type Description c array_like or poly1d object The input polynomials to be …
The numpy.polymulx function multiplies the polynomial c with a value x which is the independent variable. Arguments Type Description c array_like or poly1d object The input polynomials to be multiplied The following table shows the return value of the function: Type Description Return Value ndarray or poly1d object The polynomial resulting from the multiplication of …
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. Arguments Type Description a1, a2 array_like or poly1d object The input polynomials to be …
Original Documentation Return a copy of a with only the first character of each element capitalized. Calls str.capitalize element-wise. For 8-bit strings, this method is locale-dependent. Parameters: a: array_like of str or unicode: Input array of strings to capitalize. Returns: out: ndarray: Output array of str or unicode, depending on input types See also str.capitalize …
To extract elements with specific indices from a Python list, use slicing list[start:stop:step]. If you cannot use slicing because there’s no pattern in the indices you want to access, use the list comprehension statement [lst[i] for i in indices], assuming your indices are stored in the variable indices. People always want to know the most …
How to Get a List Slice with Arbitrary Indices in Python? Read More »