Learn to Love Your Lambda! Lambda functions in python are simple one-line functions without a name (and therefore called an anonymous function) that can take many arguments but will only evaluate a single expression. They’re fast, short, and simple and can help you write cleaner ‘more pythonic’ code. If like me you wanted to learn … Read more
Python’s built-in iter() function returns an iterator for the given object. For example, iter([1, 2, 3]) creates an iterator for the list [1, 2, 3]. You can then iterate over all elements in the iterator, one element at a time, in a for or while loop such as: for x in iter([1, 2, 3]). Basic … Read more
The Python memoryview(arg) function returns a memoryview object of the given bytes or bytearray argument. This exposes the argument’s internal data (buffers) to help you access the data without intermediate copying. Syntax: memoryview(object) Arguments object Bytes or Bytearray object for which the memoryview should be returned Return Value memoryview Returns memoryview of the object. Python … Read more
The np.arange() function appears in 21% of the 35 million Github repositories that use the NumPy library! This illustrated tutorial shows you the ins and outs of the NumPy arange function. So let’s get started! What’s the NumPy Arange Function? The np.arange([start,] stop[, step]) function creates a new NumPy array with evenly-spaced integers between start … Read more
In this article we are going to look at how we can see time in milliseconds, i.e. one thousandth (1000th) of a second, using Python. This could be for pure curiosity, benchmarking code or to get a very, very accurate time of day – whatever the reason, the focus of the article is how to … Read more
Python’s built-in vars() function returns the __dict__ attribute of an object—a dictionary containing the object’s changeable attributes. Without argument, it returns the local symbol table similar to locals(). Python’s built-in vars() function returns a dictionary of name: value mappings of all the names defined in the local scope or the scope of the optional object … Read more
Python’s built-in type() function has two purposes. First, you can pass an object as an argument to check the type of this object. Second, you can pass three arguments—name, bases, and dict—to create a new type object that can be used to create instances of this new type. Usage Learn by example! Here’s an example … Read more
Problem Formulation Given a number of functions f1, f2, …, fn. How to chain the function calls so that the output of the i-th function is used as input for the (i+1)-th function? f1() —> output f1() is input of f2() —> output f2() is input of f3() … —> … is input of fn() … Read more
Fear Your Coding Interview? This article shows you how to make your coding interview a success. General Tips to Prepare Your Interview Watch the following Instagram post and learn about popular Python interview questions (swipe left, swipe right): Sieh dir diesen Beitrag auf Instagram an [CHALLENGE] How many of the three questions can you answer? … Read more
The min() function returns the minimum of the provided arguments. As arguments, you can either pass a number of comma-separated values, or a single iterable. An optional key function argument allows you to customize the calculation of the minimum by explicitly defining the weight of each value in the iterable that is used as a … Read more
The max() function returns the maximum of the provided arguments. You can pass either an arbitrary number of values, comma-separated, or an iterable as arguments. An optional key function argument allows you to customize the calculation of the maximum by explicitly defining the weight of each value in the iterable that is used as a … Read more
Problem: How to create a sequence of evenly-spaced values Using pure, vanilla Python, and Using NumPy’s linspace() method. Example: Given three arguments: start=10, stop=20, number_of_values=11. How do you create a sequence of 11 values x0, x1, …, x10 where two subsequent values xi and x(i-1) have the same distance for all i in {0, …, … Read more