Data Analytics and Video Tutorials
Numpy is a Python statistical package that uses mathematical computations to explain the meaning of a set of data.
So you have landed an interview and worked hard at upskilling your Python knowledge. There are going to be some questions about Python and the different aspects of it that you will need to be able to talk about that are not all coding! Here we discuss some of the key elements that you should…
Python arrays are used to manage how data is analyzed and have the data in a structured form for the data analyst or data scientist to use. What is an Array? An array has the following properties: What are the differences between arrays and lists? For the most part arrays and lists are the same,…
In our previous post on how to compare CSV files for differences we showed how you could see the differences, but what if you wanted to see if a record was 100% matched or not? Here we are going to use SequenceMatcher which is a python class that allows you to compare files and return…
Read More “How to show percentage differences between files in Python” »
You may be working on automating some exports to Excel using Python to compare files or just pure and simple adding formulas to an Excel file before you open it up. Here we explain adding formulas to your Excel output using Numpy or adding the calculations to specific cells in the output. Adding formulas to…
Explaining what this post is about I was recently online and providing help to a fellow python coder, and a query came up about how you would rewrite some code that had included the sine function and the cosine function We were asked to see if we could translate this code: L_1=1; L_2=1.5; q_0=0.5; q_1=pi()/4; q_2=pi()/6;…