SKU: 41980012150

Your Best Financial Life : Save Smart Now for the Future You Want

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Your Best Financial Life : Save Smart Now for the Future You Want*Axiom Book Awards gold medal winner for Best Book on Retirement Planning and named Best Future Planning Book by theSkimm*From Anne Lester former head of retirement solutions for JPMorgan Asset Management and award winning investor a wildly simple, step by step blueprint that anyone can use to understand retirement savings and investing for the future you deserve. Get no nonsense info on why you suck at saving (and why it isn't your fault), how to

*Axiom Book Awards gold medal winner for Best Book on Retirement Planning and named Best Future Planning Book by theSkimm*From Anne Lester-former head of retirement solutions for JPMorgan Asset Management and award-winning investor-a wildly simple, step-by-step blueprint that anyone can use to understand retirement savings and investing for the future you deserve. Get no-nonsense info on why you suck at saving (and why it isn't your fault), how to save for a rainy day and retirement (yes, it's possible to do both!), and diversifying your investments so your future is secure no matter what life throws at you. You'll have everything you need to lay the groundwork for Your Best Financial Life!Saving for the future can seem anywhere from daunting to downright impossible-especially for Millennials and Gen Zers, who've had to contend with economic setbacks, recessions, and layoffs since graduating college. But everyone-yes, even YOU-can find a way to save for your future, and Your Best Financial Life can show you exactly how. Here, you'll find actionable steps to demystify the retirement tools at your disposal, an easy-to-use roadmap to ensure you've saved enough by retirement age, and help identifying and eliminating wasteful spending in favor of stashing your money where it really counts. You'll learn how to turn $100 into $1,000 and leverage every single cent you earn to your advantage. Drawing on decades of investment experience and the latest research, you will:Better understand your spending habits and learn where you can improve themDiscover strategies for paying off student loans or other debts, all while saving for the most expensive parts of life-a wedding, a family, and emergencies (and don't worry, you'll have enough left over to have a social life, too!)Learn to make 401(k)s, IRAs, and other retirement tools work for you and the goals you've set for yourself

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SKU: 41980012150

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4.8 ★★★★★
Based on 29 reviews
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Verified Purchase
Zay
Alexandria, 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
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Reviewed in the United States on October 23, 2024
R
Verified Purchase
Rory Derrick
Grantham, 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.
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Reviewed in the United States on December 2, 2021
C
Verified Purchase
Cory P.
Belleville, 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.
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Reviewed in the United States on August 3, 2021
F
Verified Purchase
Frank Gonzalez
Bozeman, 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.
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Reviewed in the United States on April 7, 2024
I
Ira Laefsky
Boise, 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.
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Reviewed in the United States on February 7, 2021

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