Born in India and after graduated in Engineering.  With a 99.69% in CAT, I enrolled myself for an MBA. As part of my MBA I moved to Madrid where i also found a job after graduation.  Eventually I moved to Berlin, Germany where I have lived for the last 10 years and in the process became a German citizen.

Professionally I work as the Director Of Strategy for Dynamic Yield. Prior to this I worked extensively in Consulting, Machine Learning, Analytics & Data Engineering.

> Jack Of All Trades Master Of None

If I had to sum myself up it would be the quote above. 

As a hobby, I explore different worlds, the world of physics, astronomy, programming, history, political science, maths etc.. It is my goal to write down my thoughts on this blog when i am exploring a different world.

*Thank You for reading!*

*I hope knowing things is as exciting to you as it is to me :)*


A brief Intro

About Me


Thank you for contacting me! I will get back in touch with you soon.

**Have a great day!**

Thank You!

name

email

subject

message

consent


Fill the form below to get in touch with me.


Get in Touch

Home

## ![](/images/apple-m1-chip-overview.jpeg)

## Wondering why your kernel crashes on Jupyter? Cant seem to install packages with pip? Perhaps my experience helps

I upgraded my laptop to the new Apple M1 a year after it was released, thinking wishfully that the software compatibility side of things would have died down by now. Little did I know what I was up against.

After I installed macOS, I set out to do the usual stuff, installing Python, anaconda, virtual environments and the whole shebang. It seemed to be fine on the face of it, even though installing a few packages was an issue, it wasnt something that couldnt solved past a few google searches.

So I install jupyter notebook and with a lot of pain, install tensorflow and write the first line of code:

<code>import tensorflow as tf </code>

and then boom, the kernel dies. This initially seemed to be a problem with Jupyter Notebook so I try creating a new one and using it but doesnt matter, the result is the same. This is where I start expiring the solutions offered on stackoverflow or google. I realize the problem is with the new M1 chip compatibility.  What if anaconda or even python itself is not compatible with M1. This is where I deleted anaconda and realize that Apple offers a python version that is compatible with M1 as part of the Xcode tools. Now I have a python version that is sure to be compatible and jupyter notebook and tensorflow installed from scratch. I tried again with much hope:

<code>import tensorflow as tf</code>

BOOM.. the kernel dies again.. coming to my wits end i browsed through the python, jupyter notebook and tensorflow github libraries and comments. Until I found that apple has its own M1 compatible tensorflow version: <https://github.com/apple/tensorflow_macos/releases>

Download the latest version and run:

<code>/bin/bash Downloads/tensorflow_macos/install_venv.sh -p --python=/usr/bin/python3</code>

One thing i missed and i wish someone told me earlier is to point the tensorflow_macos to a version of python that is compatible with M1 and released by apple as part of Xcode tools. When you install python as part of Xcode tools, it is saved under <code>/usr/bin/python3</code>. This is the reason for the <code>-p --python=/usr/bin/python3</code> argument in the end.

This install a tensorflow virtual environment and all its dependencies that works perfectly well with new M1. One way to make sure you have done everything right is to do:

<code>file $(which python) </code>

from the newly created tensorflow virtual environment. This should return an executable with arm64 config like below:

<code> tensorflow_macos_venv/bin/python: Mach-O universal binary with 2 architectures:</code>

<code>
[x86_64:Mach-O 64-bit executable x86_64]</code>

<code>\[arm64:Mach-O 64-bit executable arm64] </code>

<code>
tensorflow_macos_venv/bin/python (for architecture x86_64): Mach-O 64-bit executable x86_64 </code>

<code>tensorflow_macos_venv/bin/python (for architecture arm64):
Mach-O 64-bit executable arm64 </code>

Same goes for pandas. Installing it with pip results in all kind of troubles. It works only if it is installed from the source:

<code> git clone --depth 1 https://github.com/pandas-dev/pandas.git</code>

<code> cd pandas </code>

<code> python3 setup.py install </code>

This way of installing did not work in a different M1 Mac. What worked was emulating a x86 session to install pip. So i tried: 

<code> arch -x86\_64 pip install pandas </code> 



Cheers


Machine Learning On The New Apple M1 CPU

Curse Of An Early Adopter

/images/35360045-14574500326562865_origin.png

There is a time to make money and a time to not loose money!

> Anonymous

Hedge Funds are just that. They make money when they make money but they are the best at not loosing money when everyone else does! The top Hedge Fund Managers have become billionaires from the fee they charge their clients, who are mostly billionaires themselves or large pension funds and such.

Hedge Funds dont take money willy nilly from anyone who is ready to give them some. You have to be qualified to even give them your money.

An interesting twist here is this: 

![](/images/Screenshot%202022-03-12%20at%2011.05.25.png)

Looked over the last 28 years - Hedge Funds have ***underperformed*** the broad market S\&P500 index. How or why would then someone give all their money to these funds that cannot outperform the market. 



Highly secretive institutions at the cutting edge of investment strategies

Hedge Funds

##

![](/images/istockphoto-1274320612-612x612.jpeg)

> Physics is like sex. Sure you can get some interesting results, but that’s not why we do it.

**Richard Feynman**

***

Think about this: You look at a far off star, say one of the brightest stars of night sky - the Deneb. You would think the star is there, you are following it but in reality you are seeing how the star was 2600 years ago! The star could have collapsed and you woulnt even know until 2600 years later. This is one of the stars we can see with our naked eye that we are talking about!! Now imagine you  look into the deep end of the universe. What you see is how the universe was billions of years ago. You would have no idea what is happening there right now! Take the galaxy Saraswati  - light takes 650 million years just to go from one end to the other end of this galaxy - the light we see from saraswati was emitted 4 billion years back!!! 

It is truly a mind blowing experience to revisit the scale of the universe each time. It just makes you wonder how small and insignificant humans as whole are. Extraordinary as it is how we all came to be from the leftover carbon of dying stars, it is just but one of many many many things that one can ponder over.

A list of things that I find absolutely fascinating and make me love physics all the more:

1.  Black Holes :
2.  Dark Energy & Dark Matter:
3.  Matter and Anti-Matter:
4.  Superposition & Entanglement:
5.  Cosmic Microwave Background (CMB):
6.  What happened in the first 10^-43 seconds of the big bang:
7.  Gravity:

***


Why it is the most fascinating thing on the planet

My Love For Physics



![](/images/1\_fr1Gjc_bt6gB06fUlfQNPQ.jpeg)



> "**@rustlang** might be one of the best documented, best engineered (and apparently, most honest) programming languages "





Why it is set to dominate the next few decades

The coming of Rust


Your subscription to **Ampersand Newsletter** has been confirmed.

**Thank you for subscribing!**


Subscribe for new updates