Skip to content

Jesus´ Jüngerinnen

Marsoni M251S
Sale price$19.95
Pay 4 payments of $4.99 a month.Shop Pay
Get it in 3 business days with 1 day shipping. Friday, May 29
Jesus´ JüngerinnenJesus Lehre aus der Sicht seiner Jngerinnen Christus hatte nicht nur mnnliche Begleiter, sondern auch weibliche, unter denen sich insbesondere die drei Marien hervortaten: Maria Magdalena, Maria Jakobea und Maria Salome. Daniel Meurois berichtet, wie er auf seinen Reisen in die Akasha Chronik an der Begegnung der drei Frauen teilhaben konnte. Durch ihn lassen uns die Jngerinnen die Geheimnisse ihres Glaubens, den Mensch Jesus und dessen Lehren aus
Easy Shipping

Quick Dispatch:

Your Jesus´ Jüngerinnen orders ship within 1-2 business days.

Delivery Options:

  • Standard: 3-7 business days
  • Fast: 2-3 business days
  • Express: 1-2 business days

Order Tracking:

You'll receive a tracking link by email once your Jesus´ Jüngerinnen ships.

Need Help?
Questions about Jesus´ Jüngerinnen, sizing, or delivery? We're just an email away.

Live Shipping Estimates:
Enter your location at checkout to see available shipping methods and costs for Jesus´ Jüngerinnen in your area.

Get Shipping Estimates

Exchange/Return Notes
  • We offer a 30-day return/exchange service after receiving.
  • Final sale items are not eligible for returns or exchanges.
  • To process your return/exchange, please contact us at [email protected]
  • Please click here for more details>>> Return & Exchange Policy
4.1 ★★★★★
Based on 127 reviews
Sort
Highest Rating
Newest First
Oldest First
Product Reviews
Z
Verified Purchase
Zay
Charlottesville, US
★★★★★ 5
Upside down (Great)
Format: Hardcover
Was extremely relatable and a blessing I gifted this book and want it back lol but I will be ordering again
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on October 23, 2024
R
Verified Purchase
Rory Derrick
Louisville, US
★★★★★ 5
Good book
Format: Paperback
Still working through it but I have no complaints. I have a shelf of no starch books and have not been disappointed by any. Some, of course, are better than others but this is a good book.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on December 2, 2021
C
Verified Purchase
Cory P.
Carnegie, US
★★★★★ 5
Dive into Algorithms is more like eating a Parfait than trying understand algorithms!
Format: Paperback
Seriously though great writing and explanation along with great history lessons. Also highly recommend for anyone working in the data science field.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 3, 2021
F
Verified Purchase
Frank Gonzalez
San Leandro, US
★★★★★ 3
Ok content, not great explanations (2.5 our of 5 stars)
Format: Paperback
I found the contents of this book to be simply ok: either too simple, or the more complicated algorithms and concepts would not be as carefully explained as they should have been. It is not a terrible book, but it feels as though the author did not go over many drafts/iterations of this work.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on April 7, 2024
I
Ira Laefsky
Birmingham, US
★★★★★ 5
An Excellent Self-Discovery Approach to Learning Algorithms
Format: Paperback
I have an Ivy League Master's Degree in Computer Science although it was accomplished 35 years ago. Of course, I had to complete an ACM-type course in Algorithms and Data Structures on the undergraduate and graduate level and managed to by rote accomplish enough to satisfy these courses. But until seeing this great book I never had the feeling of gaining an understanding of the approach to learning and building algorithms and the extent to which it is an important component of all programs. By a journey of guided self-discovery the author shows, not only the necessity of algorithms and their canonical forms, but a path to understanding the construction of algorithms to accomplish common and not so common practical problems. These range from the simple to understand, e.g. implementing Russian Peasant Multiplication, to advanced and up to date topics like Machine Learning. The highest praise I can give this book is that as a journey of guided self-discovery it produces an understanding in the reader of the process of constructing and understanding these algorithms and their place in all programming.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on February 7, 2021

recommand products