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Udemy - Pythonizing the Excel

      Author: Baturi   |   26 November 2022   |   comments: 0

Udemy - Pythonizing the Excel
Published 11/2022
Created by Dr. Bro
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 5 Lectures ( 1h 25m ) | Size: 740 MB



Use Python, instead of Excel. Incorporate Excel, into your program, without excel!
What you'll learn
Learn how to model, in Python, the Excel functions
Learn how to avoid Excel completely, and include it in your python model
Excel is super slow, so we need to be able to avoid it as much as we can !
Learn the excel functions in excel and then line-by-line understand the Python model
Requirements
No prerequisites.
Description
Microsoft Excel has many functions such as sumifs, averageifs, and vlookup. And many many more. And it is a program that is slow, and very very heavy . So heavy that if you try to include Excel in large programs, the programs become 80% slower by just having to interact with excel. This is stunning. Imagine this! So, what can then be done? Well, here is an idea: How about, modelling , using Python, the functions of Excel that you want to use, and simply have them in your python code? So , imagine this: you retain the functionality of Excel, but you also are a top- G :  You save time, i.e. you save 80% of sluggish, slow, performance! So, let's do this: Let' use Python, and learn step by step, every little detail of how to model a function that is used in Excel most of the times. And then, let's try to do this with an efficient, and easy to integrate code. And so this way, there will practically no need for using Microsoft Excel any more ! We will have solved this problem given that we will have modelled excel, using code, into python! And we will be using just very very few lines of code.
Who this course is for
Entrepreneurs
Data Scientists & ML Engineers
Quant modellers & researchers
Finance professionals
PhD Students & Masters students
Homepage

https://www.udemy.com/course/pythonizing-excel/




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