Part 2 of Working with Excel centers around accessing data from the Active Worksheet. This skill is one of the must-haves if you are interested in pursuing a career as a Data Scientist. Background After completing Part 1 of this series, you should be comfortable using Python to: create an Excel file, import a library, … Read more
Hi Finxters! My name is Cristian Sánchez and I wanted to leave my review for finxter.com’s “Become a Python Freelancer Course”. I am about 10% through the course and so far, I am very satisfied with the value that is included. I had found Dr. Christian Mayer’s work while searching for books about Python on … Read more
In this article, we explore 10 Python libraries, platforms, tools, and frameworks that are useful for e-commerce. Criteria for the list included their relevance to e-commerce, popularity, the level of maintenance that is given to the code base, and their usefulness. We searched far and wide and narrowed down our search to the following: Saleor … Read more
In this blog post, you’ll learn about the Python Dictionary clear() method. But, before I cover the clear() method I would like to give a brief definition of what a Python Dictionary is. Definition: A Python dictionary data structure is a collection of key-value pairs that are unordered, and are accessed by a key instead … Read more
Syntax object.__rtruediv__(self, other) The Python __rtruediv__() method implements the reverse true division operation with reflected, swapped operands. So, when you call x / y, Python attempts to call x.__truediv__(y). If the method is not implemented, Python attempts to call __rtruediv__ on the right operand and if this isn’t implemented either, it raises a TypeError. We … Read more
Syntax object.__ror__(self, other) The Python __ror__() method implements the reverse Bitwise OR | operation with reflected, swapped operands. So, when you call x | y, Python attempts to call x.__or__(y). If the method is not implemented, Python attempts to call __ror__ on the right operand and if this isn’t implemented either, it raises a TypeError. … Read more
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