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!
- Foundation by Isaac Asimov
- Hitch-hikers Guide to the Galaxy by Douglas Adams
- Man in the High Castle by Philip K. Dick
- Beren & Luthen by J.R.R. Tolkien
- How to Make Friends and Influence People by Dale Carnegie
- Confident Data Science Skills by Kirill Eremenko
- Data Science for Business by Foster Provost and Tom Fawcett
- The Subtle Art of not Giving a F*ck by Mark Manson
- Storytelling with Data – Cole Nussbaumer Knaflic
- Modern Romance by Aziz Ansari
- Think Stats: Exploratory Data Analysis by Allen B. Downey (in Progress)
- 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
Grant Patience 
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
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