You can’t make document alterations more convenient than editing your csv files on the web. With DocHub, you can get tools to edit documents in fillable PDF, csv, or other formats: highlight, blackout, or erase document fragments. Add textual content and pictures where you need them, rewrite your form entirely, and more. You can save your edited file to your device or submit it by email or direct link. You can also convert your documents into fillable forms and invite others to complete them. DocHub even offers an eSignature that allows you to certify and send paperwork for signing with just a few clicks.
Your documents are securely stored in our DocHub cloud, so you can access them anytime from your desktop, laptop, mobile, or tablet. If you prefer to apply your mobile device for file editing, you can easily do it with DocHub’s app for iOS or Android.
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