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  1. List it how it is! Make a list from a variety of categories, share with your friends and tell the world what you think. Follow @listmaker. Listmaker is where you can create lists on any topic or subject. You can create a watch list for movies and tv, play list for video games, or a bucket list for travel and experiences.

  2. 13 de abr. de 2023 · To see the whole list of worksheets, right-click the arrow to the left of the sheet tabs. All worksheet names are displayed in the pop-up list. To jump to a certain sheet, select the sheet’s name (e.g., Sheet5) and click OK. Cell A1 in Sheet5 is now selected. View List of Worksheets in Google Sheets

  3. The IUCN Red List Categories and Criteria are intended to be an easily and widely understood system for classifying species at high risk of global extinction. It divides species into nine categories: Not Evaluated, Data Deficient, Least Concern, Near Threatened, Vulnerable, Endangered, Critically Endangered, Extinct in the Wild and Extinct .

  4. 13 de jul. de 2021 · You can do this from within the list itself, when you see it within your recent lists on the Lists home page, or within the Lists app for iOS. Once favorited, the list appears at the top of the Lists home page for web and mobile. And you can unfavorite a list at any time – simply click the star icon again to Remove this list from your favorites.

  5. Watch See — Season 1 with a subscription on Apple TV+. Though it's capable cast is clearly game, an over-reliance on gore and a grimly -- and at times comically -- convoluted narrative blurs See ...

  6. Set up your list to show your data just the way you want it. Organize your list in a custom way to emphasize a certain thing or to have a more engaging style. Switch to a different view. Select the name of the view you're editing from the View options menu (for example, All items), then: Select the name of the view you want to change to, or

  7. 27 de abr. de 2024 · Once you run the above code, you’ll see the following DataFrame with the 3 columns: Name Age Country 0 Bill 32 Spain 1 Maria 45 Canada 2 David 27 Brazil 3 James 59 UK 4 Mary 37 France Using list(df) You may use the first approach by adding my_list = list(df) to the code: