## How to Get All Divisors of a Number in Python?

Problem Formulation Given an integer number n. Get all divisors c of the number n so that c * i = n for another integer i. The desired output format is a list of integers (divisors). Here are a couple of examples: n = 10 # Output: [1, 2, 5, 10] n = 13 # … Read more

## How To Plot SKLearn Confusion Matrix With Labels?

Summary: The best way to plot a Confusion Matrix with labels, is to use the ConfusionMatrixDisplay object from the sklearn.metrics module. Another simple and elegant way is to use the seaborn.heatmap() function. Note: All the solutions provided below have been verified using Python 3.9.0b5. Problem Formulation Imagine the following lists of Actual and Predicted values … Read more

## How to Convert Hex String to Integer in Python

Problem Formulation Given a string in hexadecimal form: How to convert the hex string to an integer in Python? For example, you want to convert the hexadecimal string ‘0xff’ to the decimal integer 255. Here are a few other examples: 0x0 –> 0 0x4 –> 4 0x8 –> 8 0x12 –> 18 0x16 –> 22 … Read more

## What are the Applications of Graphs in Computer Science?

[Reading time: 9 minutes] Graphs are everywhere. They are used in social networks, the world wide web, biological networks, semantic web, product recommendation engines, mapping services, blockchains, and Bitcoin flow analyses. Furthermore, they’re used to define the flow of computation of software programs, to represent communication networks in distributed systems, and to represent data relationships … Read more

## How to Calculate the Weighted Average of a Numpy Array in Python?

Problem Formulation: How to calculate the weighted average of the elements in a NumPy array? Definition weighted average: Each array element has an associated weight. The weighted average is the sum of all array elements, properly weighted, divided by the sum of all weights. Here’s the problem exemplified: Quick solution: Before we discuss the solution … Read more

## How to Calculate the Average of a NumPy 2D Array?

NumPy is a popular Python library for data science focusing on arrays, vectors, and matrices. This article introduces the np.average() function from the NumPy library. When applied to a 1D array, this function returns the average of the array values. When applied to a 2D array, NumPy simply flattens the array. The result is the … Read more

## Python round() — A Simple Guide with Video

Python’s built-in round() function takes two input arguments: a number and an optional precision in decimal digits. It rounds the number to the given precision and returns the result. The return value has the same type as the input number—or integer if the precision argument is omitted. Per default, the precision is set to 0 … Read more

## How to Calculate the Standard Deviation in NumPy?

Problem Formulation: How to calculate the standard deviation in NumPy? Differentiations: There are many different variants of this problem: Calculate the standard deviation of a 1D array Calculate the standard deviation of a 2D array Calculate the standard deviation of a 3D array Then you can also calculate the standard deviation along an axis: Calculate … Read more

## How to Calculate Percentiles in Python

This article deals with calculating percentiles. Percentiles are statistical indicators that are used to describe specific portions of a sample population. The following sections will explain what percentiles are, what they are used for and how to calculate them, using Python. As you will see, Python allows solving this problem in multiple ways, either by … Read more

## Top 10 Python Math Cheat Sheets.

Hey Finxters! It is time for another cheat sheet for Python! As we all know too well, Python is super flexible and used in data science which requires a ton of math resources to be available to us since we cannot memorize all of the mathematical equations necessary. So, I have found the top 10 … Read more

## Symbolic Math with SymPy: Advanced Functions and Plots

This article will cover some advanced mathematical functions provided by the Sympy library. If you still have not read the first introductory article to Sympy, you can check it out here. Since most of the basic functions, like the ones for initiating a Sympy session on your terminal or for defining a function/variable, will not … Read more

## Symbolic Math with SymPy

This article shows how to solve math equations and expressions symbolically, in Python. Thanks to the Sympy library, this turns out to be an extremely easy task. However, as you will see in the following examples, the number of tools and functions provided by this library is huge. Thanks to all its features, Sympy represents … Read more