Book Review - Slow Productivity by Cal Newport

Book Review - Slow Productivity: The Lost Art of Accomplishment Without Burnout by Cal Newport

Book Review - Secret Pulse of Time

Book Review - Secret Pulse of Time by Stefan Klein

Book Review - Designing Data Intensive Applications

Book Review - Designing Data Intensive Applications by Martin Kleppmann

Problem with using UUIDs as Primary Key in MySQL

Learnings about the problems of using UUID as the primary key

Tokenization

Learnings from Andrej Karpathy’s tutorial on GPT Tokenizer

Notable books read in 2023

1. Who Cares - Emily Kenway

QR Code AI Art

Stunning results but not yet usable as QR Codes

The Composer's Quill: Weaving Melodies using text prompts with MusicGen

Step by Step Guide to generate music in Google Colab

How Boards Work

Book Review - How Boards Work - Dambisa Moyo

Business at the Speed of AI

Business at the Speed of AI

150 Days Of Code 2022

150 Days Of Code Github Wall - 2022

Beautiful Code

Beautiful code is its own reason for being

My impressions - Becoming the Speaking Superstar

I believe one of the signs of a great session is when you find yourself ruminating over what you have heard from the speaker.

100 Days Of Code 2022

100 Days Of Code Github Wall - 2022

Learning React - 2nd Edition Book Review

Book Review - Learning React - 2nd Edition by Alex Banks and Eve Porcello

100 Days Of Code

100 Days Of Code Github Wall

Mandelbrot and Julia - Mathematical visualization and beauty

I have been fascinated by the idea of chaos theory since I read about the butterfly effect. I read some more about it in the book ‘Chaos’ by James Gleick including about the Mandelbrot. But until I read ‘Make your own Mandelbrot’ by Tariq Rashid I did not realize just how simple the equation to draw the Mandelbrot was.

Building Machine Learning Powered Applications

Book Review - Building Machine Learning Powered Applications by Emmanuel Ameisen

Zero To One

Book Review - Zero to One： Notes on Startups, or How to Build the Future by Peter Thiel & Blake Masters

2020 Milestones

Milestones / Accomplishments of year 2020

Grokking Algorithms

Book Review — Grokking Algorithms by Aditya Bhargava

Things to make and do in the fourth dimension

Book Review — Things to make and do in the fourth dimension

Step-by-Step guide to restore old photos

A few months back, Microsoft shared code for old photo restoration. The implementation was in pytorch. 

User Interface design and User Experience

Recently the story of the student who lost his seat in IIT due to inadvertently clicking the wrong link made headlines.

Recommended Daily Interview Problem Newsletter

TLDR; Subscribe to the daily interview problem newsletter at Quastor Daily. It is a wonderful newsletter to help prepare for technical interviews.

Emperor of all Maladies

Book Review — Emperor of all Maladies by Siddhartha Mukherjee

The Telescope in the Ice

Book Review — The Telescope in the Ice: Inventing a New Astronomy at the South Pole by Mark Bowen

Stuff Matters

Book Review — Stuff Matters: Exploring the Marvelous Materials That Shape Our Man-Made World by Mark Miodownik

Storytelling with Data

Storytelling with Data: A Data Visualization Guide for Business Professionals - Cole Nussbaumer Knaflic

Distributed Ledger Technology: The Science of the Blockchain

Distributed Ledger Technology: The Science of the Blockchain by Roger Wattenhofer

My Book List - On Lean In Bangalore

My Book List - On Lean In Bangalore

Learn Git in a Month of Lunches

Learn Git in a Month of Lunches - Rick Umali

Swap Bits - Visual

Code that takes as input an integer (x) and swaps the bits at indices (i) and (j).

Self-updating GitHub profile README completely within Github

Github’s new profile readme is all the rage right now.

Creating a self-updating profile readme helped me -

MLCourse.ai — Fall 2019

I came across MLCourse.ai mentioned in many articles when I was looking at good introductory courses to learn Data Science from. It was always listed in the top few. I had tried my hand at MLCourse.ai in Spring 2019 but could not complete it. However I was determined to finish it in the Fall version. And I am glad I did. This could be the last live version of the course.

Data Science Books (2019 - 2020)

The 3 fantastic technical books from my reading in 2019-2020:

• Hands-on Machine Learning with Sci-kit and Tensorflow 2.0 - by Aurélien Géron
• Hands-On Machine Learning with Scikit-Learn, Keras, and Tensorflow: Concepts, Tools, and Techniques to Build Intelligent Systems by Sebastian Raschka
• Grokking Deep Learning by Andrew Trask