ma7dev

import random

def naive_way_of_sorting(arr):
    for i in range(len(arr)):
            for j in range(i+1, len(arr)):
                if arr[i] > arr[j]:
                    arr[i], arr[j] = arr[j], arr[i]
    return arr

def test_sorting(size):

ma7dev

How I learn

Consume the content

When I read from an article, PDF, or any text-based resource, I follow the following rules:

• Use two highlightning colors (orange and green) and alternate between them to separate ideas.
• After reading for sometime or feel that I have lost or might lose track of what I have read before, I come back and write marginal notes (in red) to describe the general idea for each highlighted section.
• After completing reading the content, I revisit my notes and try to have a solid understanding of the content and add more marginal notes with a different color (blue).
• Re-write my notes and general ideas into a piece of paper to understand the flow of ideas (just focus on important things and ignore details that aren't important)

ma7dev

Sudo Group's Weekly Meeting Notes

Join our community of people interested in Software Engineering. link

#10 - How to write good code?

Host: @sudomaze

Note-taker: @h7lc0n (notes)

ma7dev

ma7dev

# source: https://twitter.com/PrasoonPratham/status/1461267623266635778/photo/1 (@PrasoonPratham on Twitter)
import datetime
import hashlib

class Block:
    def __init__(self, data):
        self.data = data
        self.blockNo = 0
        self.next = None
        self.nonce = 0

ma7dev

Sudomaze - Currently working on

Today

• Lab 02a: PyTorch Lightning
• Lab 02b: Training a CNN on Synthetic Handwriting Data
• Lab 03: Transformers and Paragraphs
• srush/Tensor-Puzzles: Solve puzzles. Improve your pytorch.

---

ma7dev

ma7dev

Intro

It wasn't obvious on PyTorch's documentation of how to use PyTorch Profiler (as of today, 8/12/2021), so I have spent some time to understand how to use it and this gist contains a simple example to use.

Instructions

• Install the required packages:

python>=1.9.0
torchvision>=0.10.0
numpy
matplotlib

ma7dev

# Create 4 tunnels, each for different ports, with only https enabled
# This way the ngrok process stays bellow the Free plan limit (4 tunnels)
# command: ngrok start --all # to start all of them
# command: ngrok start note tb # to run jupyter notebook server and tensorboard server only
# refer to this page for more info: https://ngrok.com/docs#multiple-tunnels

authtoken: ...
log: ngrok.log
tunnels:
  # to run jupyter notebook server

ma7dev

name: Automated Experiments
on:
  push:
    branches: [ main ]
jobs:
  build_on_cn-gpu5:
    runs-on: [ cn-gpu5 ]
    timeout-minutes: 4320
    defaults:
      run: