5 Mind-Blowing Ways Quadratic Beats Excel in 2025!

excel is a workhorse It's everywhere in business  schools even startups But what if you could   take all the power of Excel combine it with  Python and supercharge it with AI all in one place hey I'm Jamie and welcome to Teachers Tech  Today I'll show you five ways that Quadratic might   be the smarter choice especially if you work with  data love automation or want to bring AI into your   spreadsheet workflows Reason number one is the AI  It's so easy to use in Quadratic You can use it   for things like data analysis creating charts even  creating the sample data which I'm going to show   you in a moment I could go and upload a file or  even create a connection to get data but I'm going   to use the AI Notice they even have a prompt right  here If you want to test this out and do the exact   same thing I'm doing there's a link down below  You can uh log in create an account with uh with   Quadratic and test this out for free I'm going  to go and give it this prompt right here Create   sales data for four different regions Have five  different products with four salespeople and 20   entries It's going to create a table for me with  this entry Then I can do some data analysis with   it to show you how easy it is to create a thing  like a pivot table or even charts to go with it   So let's start with a pivot table on this I want  to look at the top sales regions in a pivot table   So I'm going to say create a uh pivot uh table  for top uh we'll say for top region So just with   a prompt it will go through and notice what it's  using here It's using Python and I'm going to come   back uh to that for another uh reason to uh pick  what quadratic and we have our pivot table right   here created Notice how I can move this around  Now I probably want to go to through another   step and visualize this as well or maybe I want to  even break down do I want region and product   analysis or do we just want a visualization  so if I click on the visualization it's going   to go it's creating a bar chart to visualize I  could tell it whatever type of chart I'd want   it to create and then we have it right here So  I could go if I didn't like blue I could tell it   to be let's say red I'll say turn it to red like  that And you're going to see that it rewrites the   Python to turn this to red So when you're looking  at if you need data to create to practice you can   go and start analyzing just by asking questions  with this So you don't have to know much about   uh spreadsheets just to prompt it and it will  go and create the information using AI In reason   number one I was focused on AI But really what  makes Quadratics special is AI and Python working   together within a spreadsheet Unlike Excel which  primarily relies on VBA or external tools and our   add-ons for advanced scripting Quadratic allows  you to write and run Python directly within the   spreadsheet cells So in any cell if I just go  forward slash notice how I have quick access to   the languages I'll click on Python where we have  our coding window We even have a console here for   print statements and where our AI works where we  can get it to just with a prompt to write the code   for us Let's work through a little example here  so you can see Python in action in quadratic All   right So here I've got my sales data in quadratic  and I'm going to ask the AI assistant to help me   group by sales and region So down here and notice  the information is going to go into this cell   because that's where I'm located So group sales  by region and sum them Now you're going to see   the code get created up top here and I'm going to  get a chance to accept it or reject it So here it   is Here's the code from here I'll accept it And  this is what it created Now let's do a little   bit more with it Like before when it created the  chart I can go ahead and run it from here And now   the chart you'll see how it gets created inside  Python here again with plotly here I'm going to   accept it And if I close out of it here you'll see  how it replaced the other one because I was in the   same cell At any time if I want to back open the  code again if I just drop down here open encode   editor this is where you could make any changes  to your code Okay let's take it one step further   Now I'm going to ask it to build a predictive  model to forecast sales So I notice this time 67   uh lines here We did get an error Is it going  to fix it it's going to notice that there was an   error in the data type conversion So it did go  ahead and fix it I'm going to accept it And I'll   close out of this so we can see what was created  Here is the sales forecast Here we have our   historical then the forecast and the confidence  interval in there Reason number three let's talk   about getting external data into your spreadsheet  We often need live info from company databases or

real-time data from web APIs right but manually  exporting importing or copying and pasting is   slow tedious and prone to errors Now Excel can  connect to external data sources You typically   go through the data tab click get data choose your  source like a database or web and then often work   your way through connection wizards and maybe  even Power Query to shape the data It's powerful   yes but it can involve several steps separate  windows and isn't always the most direct route   This is where Quadratic offers a fundamentally  different approach Instead of navigating menus   you can write SQL queries or Python code directly  inside spreadsheet cell to fetch the data you need   I want to show you how quickly you can connect an  API inside Quadratic And I'm going to use this as   an example right here just this oil price API I'm  just going to copy this over Now I'm going to use   the AI to help me with this So I'm just going to  go to this and say uh place the following in as   API And I'm just going to give it that information  And you'll see right away it's going to go fetch   that oil price uh from here So right here here's  the time stamp and the price And let's   say I want a little bit more data from there Uh  let's go add more price data points and it will   go and fetch that So if I go through I'm just  going to expand this open so you can see the   time stamp Now I have a few different uh I have a  few different times on this And like I showed you   before I could use uh AI to create these different  charts for this here based on the data that was   fetched from the API Reason four beyond standard  charts Quadratic allows creating more advanced   dynamic or even animated visualization using  AI prompts or by leveraging integrated Python   libraries like plotly Let me show you an example  here All right how easy it is to   make an interactive chart I'm just back on my  uh crude oil where I got it from the API and   I extended the price points to go back a year  I'm just going to tell it to make this into an   interactive chart Now I could give more specifics  but I just want to show you even by giving it that   uh it's going to go ahead and create and it will  let me know what are the different interactive   points within it So I can see the Python code here  We have the chart being created I'm just going to   look at some of the points over here Hover over  the data points to see exact values So if I go   click into it I'll move this up If I click into  it if I hover over you can see the exact uh points   in this one I can pan across the different time  periods and I can click and drag into different   points too to zoom up on it So just by giving  it that little bit of information it was able   to create an interactive chart and trying to do  that in the same thing with Excel that easily   you won't be able to do it We've all been there  right waiting for that huge spreadsheet to   load in your browser or trying to scroll through  thousands of rows only to have it stutter and lag   Performance especially with large data sets and  web-based spreadsheets can be a real pain point   Traditional web technologies sometimes struggle  to render and compute massive amounts of data   efficiently This is an area Quadratic aims to  improve significantly and it comes down to how   it's built under the hood Quadratic leverages a  stack of modern web technologies It uses WebGL   for rendering the spreadsheet grid That's  the same tech often used in gaming for fast   hardware accelerated graphics It also uses web  assembly and Rust to run computationheavy code   efficiently right within your browser So what  does all this tech talk actually mean for you   the user It means potentially faster loading  times smoother scrolling and zooming even   with very large files and more responsive  calculations The goal is to make work with   big data in the web browser feel less sluggish  and more like a native desktop application Now   let's be clear Desktop Excel running locally on  your machine is often very fast It has direct   access to your computer's resources But when  we compare web-based spreadsheets like Excel   online or Google Sheets they can sometimes  hit performance limits with demanding task   or massive data sets So that's a quick look  at five ways Quadratic can offer a different   kind of experience compared to Excel From using  Python right inside your spreadsheet to getting   you help from AI and building charts quickly  it's a tool worth checking out especially if   you're working with data regularly If you're  curious to try it out yourself there's a   link in the description where you can explore  Quadratics and see how it fits into your workflow