A Mind for Numbers

English, PhD Barbara Oakley, 2014
Price in EUR including VAT, plus shipping
Delivered between Thu, 22.5. and Wed, 28.5.
More than 10 items in stock at third-party supplier
Supplied by

Product details

Offers tools, tips, and techniques for learning the creative and analytical thought processes that will lead to achievement in math and science.

Key specifications

Language
English
topic
Mathematics & Natural Sciences
Subtopic
Popular science works
Author
PhD Barbara Oakley
Number of pages
336
Book cover
Hard cover
Year
2014
Item number
9622842

General information

Publisher
Penguin Putnam
Category
Reference books
Manufacturer no.
9780399165245
Release date
31.7.2014

Book properties

topic
Mathematics & Natural Sciences
Subtopic
Popular science works
Language
English
Author
PhD Barbara Oakley
Year
2014
Number of pages
336
Book cover
Hard cover
Year
2014

Voluntary climate contribution

CO₂-Emission
Climate contribution

Product dimensions

Height
229 mm
Width
154 mm
Weight
343 g

14-day cancellation right
30-day right of return if unopened
24 Months Statutory warranty

Compare products

Goes with

Reviews & Ratings

Statutory warranty score

How often does a product of this brand in the «Reference books» category have a defect within the first 24 months?

Source: Galaxus
  • Penguin Putnam
    Not enough data
  • 1.Anaconda
    0 %
  • 1.Ariston
    0 %
  • 1.Avery Publishing Group
    0 %
  • 1.Beltz
    0 %

Statutory warranty case duration

How many working days on average does it take to process a warranty claim from when it arrives at the service centre until it’s back with the customer?

Source: Galaxus
  • Penguin Putnam
    Not enough data
  • Anaconda
    Not enough data
  • Ariston
    Not enough data
  • Avery Publishing Group
    Not enough data
  • Beck C.H.
    Not enough data

Unfortunately, we don't have enough data for this category yet.

Return rate

How often is a product of this brand in the «Reference books» category returned?

Source: Galaxus
  • Penguin Putnam
    Not enough data
  • 1.Ariston
    0 %
  • 1.Beltz
    0 %
  • 1.DuMont
    0 %
  • 1.Econ
    0 %
Source: Galaxus