In Solidity, you can use the require, revert, and assert functions to check error conditions and handle exceptions, but they look similar at first glance, and you might get confused about how to use them. This article will explain their differences, specifically to Python developers. We use a simple smart contract below, taken from the … Read more
What is a Graph? When we want to illustrate how one thing relates to another, most often, we would preferably use a graph. From a concrete perspective, a graph is a graphical representation or an image of relationships. A graph is built of entities and their relationships. Entities represent actors in a relationship you are … Read more
In the time of web scraping or with the purpose of automation, we require to get the text from the HTML element of the page. Selenium allows us to do this with a special “.text()” method. This method helps us bringing out the text that is visible in the HTML content. Today we will dive … Read more
What is to be done when you are stuck somewhere in the time of executing your automation script or you do not find a way out to reload the page that is required now? Selenium comes up with some amazing technologies that help you to solve these sorts of problems easily. Selenium has some very … Read more
The data we use in Pandas for real-world projects often comes from outside sources. One popular and repeatedly used source is Excel. In this tutorial, we will learn how to read files from Excel, how to modify these files, and how to write them to Excel. We will use several Pandas functions for these approaches. … Read more
To provide a solid understanding of data manipulation with Excel, the Finxter Academy has created a 6-part series to take the user from beginner to advanced. This article assumes that Microsoft Excel is available on the computer. Quick Intro In most cases, working with large amounts of data requires some manipulation to make it more … Read more
This tutorial is about applying object segmentation in five lines of code. We show a beginner-friendly code implementation using the PixelLib library on Google Colab. Does machine learning have to be hard? Well, back then when everything must be coded from scratch, yes. But today, we are stepping on the shoulders of giants. Lots of … Read more
A Python nested dictionary is a dictionary with another dictionary or dictionaries nested within (dictionary of dictionaries or collection of collections). Nested dictionaries are one way to represent structured data (similar to a database table(s) relationship). An analogy for this concept is the Russian Nesting Dolls. Our article focuses on various ways to retrieve … Read more
Python defines the dictionary data type as an unordered collection that contains key:value pairs. The key:value pairs (separated by commas) are wrapped inside curly braces ({}). Each key inside the dictionary must be unique and immutable. Dictionary keys can be one of the following data types: integer, string, or tuple. Dictionary keys can not … Read more
Programmers with kids cannot code the whole night and sleep till noon. But they can still be productive! Watch the video to learn about the huge advantages of coders with kids… and if you’re a stressed-out parent with no time and zero energy left, don’t despair!
Should you become your own boss, being self-employed? This is a valid question given the massive opportunities these days. Freelancing is growing double-digits percentages every year: One of the largest freelancing platforms Fiverr recently reported an 89% (!) annual growth rate! ? This article and video will help you decide if this opportunity is for you! … Read more
Namespace are everywhere in Python whether you realize it or not. If you don’t know about Python namespaces, you’ll eventually introduce nasty bugs into your Python code. Let’s fix this once and for all! 🙂 As you read over the article, you can watch my explainer video: Why Namespaces? In many classes with 30+ students, … Read more