Editing csv is fast and simple using DocHub. Skip installing software to your PC and make adjustments with our drag and drop document editor in just a few easy steps. DocHub is more than just a PDF editor. Users praise it for its ease of use and powerful features that you can use on desktop and mobile devices. You can annotate documents, make fillable forms, use eSignatures, and deliver documents for completion to other people. All of this, combined with a competitive price, makes DocHub the ideal decision to put in signatory in csv files with ease.
Make your next tasks even easier by turning your documents into reusable templates. Don't worry about the security of your information, as we securely keep them in the DocHub cloud.
Iamp;#39;ve earned welcome John here in todayamp;#39;s video weamp;#39;re gonna be looking at using Python to input CSV files manipulate them and then export them again based on our criteria this could be very useful to someone looking at automating part of their work or their job and also teaching some stuff along the way so the libraries weamp;#39;re going to use is called pandas is a hugely popular library especially in the data science world what weamp;#39;re going to use it for today is fairly basic but itamp;#39;s definitely worth it in my opinion to learn how to use this this library to start with and going forward youamp;#39;ll benefit from it so all the data thatamp;#39;s stored in pandas is stored in a data frame you can kind of think of this a little bit like a spreadsheet in its simplistic form as in itamp;#39;s got rows and columns of data thereamp;#39;s a lot more to it that but thatamp;#39;s kind of like the most basic way so our scenario today weamp;#39;re g