In computer science, an array data structure consists of a collection of elements—usually of the same type such as integer or string. Each element is identified by an array index. Arrays are designed to allow extremely efficient access of individual elements by index: runtime complexity is constant with growing array size! The reason is that … Read more
Problem Formulation: Given a string of letters and numbers. How to split the string into substrings of either letters or numbers by using the boundary between a letter and a number and vice versa. Examples: Have a look at the following examples of what you want to accomplish. ‘111A222B333C’ —> [‘111’, ‘A’, ‘222’, ‘B’, ‘333’, … Read more
NumPy is a popular Python library for data science focusing on arrays, vectors, and matrices. It’s at the core of data science and machine learning in Python. In today’s article, you’ll going to master NumPy’s impressive average() function that will be a loyal friend to you when fighting your upcoming data science battles. average(a, axis=None, … Read more
NumPy’s np.matmul() and the @ operator perform matrix multiplication. They compute the dot product of two arrays. For 2D arrays, it’s equivalent to matrix multiplication, while for higher dimensions, it’s a sum product over the last axis of the first array and the second-to-last of the second array. Have you ever tried to multiply two … Read more
Hey Finxters! It is time for another top 10 cheat sheets! Today, we are going to take a look at TKinter in Python! For those of you who do not know, Tkinter is a GUI widget system for Python. I will be giving you the best cheat sheets I am able to find online. That … Read more
Many coders struggle with understanding the zip function. Let’s fix this! The zip() function takes an arbitrary number of iterables and aggregates them to a single iterable, a zip object. It combines the i-th values of each iterable argument into a tuple. Hence, if you pass two iterables, each tuple will contain two values. If … Read more
Problem Formulation: Given a video file. How to get its duration in seconds using Python code? The video can have any of the following video formats: MP4 AVI Flash Video Mov Method 1: Using Subprocess + ffprobe Within your Python shell, you can run any external command with the module subprocess. The external tool ffprobe … 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
Numpy is a popular Python library for data science focusing on arrays, vectors, and matrices. An important application of arrays, matrices, and vectors is the dot product. This article will teach you everything you need to know to get started! The dot product behaves differently for different input arrays. Dot Product 1D array and Scalar … Read more
The Python ord() function takes a character (=string of length one) as an input and returns the Unicode number of this character. For example, ord(‘a’) returns the Unicode number 97. The inverse function of ord() is the chr() function, so chr(ord(‘a’)) returns the original character ‘a’. Here are three examples of passed Unicode characters transformed … Read more
Problem Formulation: Can you serve a dash app within a Jupyter notebook rather than in a browser? Answer: Yes! Plotly created two Github projects that enable the serving of dash apps in a Jupyter notebook. The older jupyterlab-dash project is not actively maintained according to its creators from Plotly. You should use have a look … 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