When you edit documents in various formats daily, the universality of the document tools matters a lot. If your instruments work for only a few of the popular formats, you might find yourself switching between application windows to add index in tiff and manage other file formats. If you want to get rid of the headache of document editing, get a solution that will easily manage any extension.
With DocHub, you do not need to concentrate on anything but actual document editing. You won’t have to juggle applications to work with different formats. It can help you modify your tiff as easily as any other extension. Create tiff documents, edit, and share them in a single online editing solution that saves you time and boosts your productivity. All you need to do is sign up a free account at DocHub, which takes only a few minutes.
You won’t need to become an editing multitasker with DocHub. Its functionality is enough for fast document editing, regardless of the format you need to revise. Begin with registering a free account and discover how effortless document management may be with a tool designed particularly to suit your needs.
hey there hows it going everybody in this video were going to be learning more about indexes so weve seen basic default indexes and previous videos but in this video well learn how to set custom indexes and the benefits of doing this now Id also like to mention that we do have a sponsor for this series of videos and that is brilliant org so I really want to thank brilliant for sponsoring this series and it would be great if you all can check them out using the link in the description section below and support the sponsors and Ill talk more about their services in just a bit so with that said lets go ahead and get started okay so I have my snippets file open here or my snippets notebook open here so that we can look at indexes using a simple data frame with a little bit of data and then well see how to use these with our larger survey data set that weve been using so far in the series so in these snippets we have the same small data frame that we saw in the last video where we