Price: $35.00 - $19.91
(as of Nov 12, 2024 20:31:22 UTC – Details)
A New York Times bestseller!
Good Night Stories for Rebel Girls is a children’s book packed with 100 bedtime stories about the lives of extraordinary women from the past and the present, illustrated by 60 female and non-binary artists from all over the world.
Created out of the most successful publishing project in crowdfunding, this must-have volume brings readers on an empowering journey, introducing them to the real-life adventures of trailblazing women from Elizabeth I to Malala Yousafzai.
The unique narrative style of Good Night Stories for Rebel Girls transforms each biography into a fairytale, filling readers with wonder and a burning curiosity to know more about heroes such as:
Ada Lovelace, MathematicianAmelia Earhart, AviatorFrida Kahlo, PainterMalala Yousafzai, ActivistJane Goodall, PrimatologistJulia Child, ChefMarie Curie, ScientistMaya Angelou, WriterMichelle Obama, Lawyer and First LadyRuth Bader Ginsburg, Supreme Court Justice
Each woman’s story is also accompanied by a full-page, full-color portrait that captures her rebel spirit.
This hardcover edition, with an extra-smooth matte scuff-free lamination, 100lbs paper, a satin ribbon bookmark, and extraordinary print quality, is the perfect gift for any young reader and begs to be read again and again.
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Publisher : Rebel Girls (November 10, 2016)
Language : English
Hardcover : 224 pages
ISBN-10 : 0997895810
ISBN-13 : 978-0997895810
Reading age : 4 – 9 years, from customers
Lexile measure : 880L
Grade level : 1 – 4
Item Weight : 1.75 pounds
Dimensions : 7.12 x 0.9 x 9.75 inches
Customers say
Customers find the book inspiring, empowering, and thoughtful. They describe it as an amazing, quality book worth adding to their libraries. Readers appreciate the short stories and beautiful illustrations. They say it’s excellent for girls of all ages and sends a wonderful message. Customers also appreciate the diversity of women showcased. Opinions are mixed on the writing quality.
AI-generated from the text of customer reviews
