Reading List:- 2018

In 2018, I changed my view on New Year’s resolutions. I wanted fewer aspirations that were bolted onto my life and rather fundamentally switched to a mind-set of how to become the person I wanted to be. I believe strongly in growth and self improvement, but reading is one thing I have always dithered on. However, as I’ve gotten older I’ve come to really appreciate both the benefit mentally but more importantly the sheer joy of a fantastic read.

So to become a more well-rounded individual I wanted to read more. How do I track that? Stats of course! I figured 12 would be a nice round number. One per month – how hard can that be?

Of course, if you have any suggestions, please let me know!

  1. Foundation by Isaac Asimov
  2. Hitch-hikers Guide to the Galaxy by Douglas Adams
  3. Man in the High Castle by Philip K. Dick
  4.  Beren & Luthen by J.R.R. Tolkien
  5. How to Make Friends and Influence People by Dale Carnegie
  6. Confident Data Science Skills by Kirill Eremenko
  7. Data Science for Business by Foster Provost and Tom Fawcett
  8. The Subtle Art of not Giving a F*ck by Mark Manson
  9. Storytelling with Data – Cole Nussbaumer Knaflic
  10. Modern Romance by Aziz Ansari
  11.  Think Stats: Exploratory Data Analysis by Allen B. Downey (in Progress)
  12.  Fantastic Night & Other Stories by Stefan Zweig (in Progress)

On my “To Do” List are:

01 – Catcher in the Rye by J.D. Salinger

02 – The Spy Who Came in From the Cold – John le Carre

03 – Hands-On Machine Learning with Scikit-Learn & TensorFlow by Aurelien Geron

04 – Red Rising by Pierce Brown

1 thought on “Reading List:- 2018”

  1. Kafka on the shore by Haruki murakami had me hooked couldn’t put it down and I don’t read alot of books. Highly recommend it transcends a regular story to a full blown imaginative experience

    Liked by 1 person

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