They Use These 15+ Python Interview Questions To Fail You … (And What You Can Do About It)

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

Top 10 Best Selenium Cheat Sheets.

Hey Finxters! I am back to write another top 10 cheat sheets for Python with libraries, open-source and frames that can be used with it. Today, we are going to discuss Selenium Cheat Sheets used in Python. To better explain, Selenium is an open-source web-based automation tool that allows you to test your web application … Read more

Python min() — A Simple Illustrated Guide

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

Python max() — A Simple Illustrated Guide

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

NumPy Reshape 1D to 2D

Problem Formulation: Given a one-dimensional NumPy array. How to create a new two-dimensional array by reshaping the original array so that the new array has x rows and y columns? Here’s an example of what you’re trying to do: # Given: [0 1 2 3 4 5] x = 2 # rows y = 3 … Read more

How to Create a Sequence of Evenly Spaced Values [Vanilla Python & Numpy Linspace]

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

Python tuple() — A Simple Guide with Video

Python’s built-in tuple() function creates and returns a new tuple object. When used without an argument, it returns an empty tuple. When used with the optional iterable argument, it initializes the new tuple with the elements in the iterable. Read more about tuples in our full tutorial about Python Tuples. Usage Learn by example! Here … Read more

How to Create a Sequence of Linearly Increasing Values with Numpy Arange?

Problem: How to create a sequence of linearly increasing values? Solution: Use NumPy’s arange() function. The np.arange([start,] stop[, step]) function creates a new NumPy array with evenly-spaced integers between start (inclusive) and stop (exclusive). The step size defines the difference between subsequent values. For example, np.arange(1, 6, 2) creates the NumPy array [1, 3, 5]. … Read more