jonathanagustin

# @title Convert Notebook to PDF. Save Notebook to: `/content/drive/MyDrive/Colab Notebooks'
NOTEBOOK_NAME = "notebooke.ipynb" # @param {type:"string"}
#------------------------------------------------------------------------------#
from google.colab import drive
drive.mount("/content/drive/", force_remount=True)
NOTEBOOKS = "/content/drive/MyDrive/Colab Notebooks"
NOTEBOOK_PATH = f"{NOTEBOOKS}/{NOTEBOOK_NAME}"
assert os.path.exists(NOTEBOOK_PATH), f"NOTEBOOK NOT FOUND: {NOTEBOOK_PATH}"
!apt install -y texlive-xetex texlive-fonts-recommended texlive-plain-generic
!jupyter nbconvert "$NOTEBOOK_PATH" --to pdf

jonathanagustin

Keybase proof

I hereby claim:

• I am jonathanagustin on github.
• I am drengskapur (https://keybase.io/drengskapur) on keybase.
• I have a public key whose fingerprint is 6DED 1D8C 4F9A 4376 7394 C58A 0C80 E974 9273 65DE

To claim this, I am signing this object:

jonathanagustin

Research Notes

Connection Refused Error

When deploying microservices in Kubernetes, one might encounter this error:

upstream connect error or disconnect/reset before headers. reset reason: connection failure, 
transport failure reason: delayed connect error: 111

jonathanagustin

#!/bin/bash

color() {
    STARTCOLOR="\e[$2";
    ENDCOLOR="\e[0m";
    export "$1"="$STARTCOLOR%b$ENDCOLOR" 
}
color info 96m
color success 92m 
color warning 93m 

jonathanagustin

%matplotlib inline

def bootstrap():
    # @title Bootstrap Google Colab {display-mode:"form"}

    # CONFIGURE: Parameters
    GOOGLE_DRIVE_FOLDER = "my_folder" # @param {type:"string"}
    GitHub = True  # @param {type:"boolean"}
    OpenAI = True  # @param {type:"boolean"}
    HuggingFace = True  # @param {type:"boolean"}

jonathanagustin

Resource Extractor

This Go application parses the output of a helm template or kubectl kustomize command and extracts resource information, generating a CSV file with the extracted data.

Prerequisites

• Go (version 1.17 or later)
• Helm (version 3 or later) (if using Helm)
• kubectl (if using Kustomize)

jonathanagustin

%%capture
# ---------------------------------------------------------------------------- #
# @title Install autogluon on Google Colab { display-mode: "form" }
# ---------------------------------------------------------------------------- #
import contextlib
with open('/content/install-autogluon.log', 'w') as f:
    with contextlib.redirect_stdout(f):
        %pip install uv
        !git clone --recurse-submodules --depth=1 https://github.com/autogluon/autogluon.git
        !uv pip install --system -e /content/autogluon/common/

jonathanagustin

%%capture
# ---------------------------------------------------------------------------- #
# @title Install auto-sklearn on Google Colab { display-mode: "form" }
# ---------------------------------------------------------------------------- #
import contextlib
with open('/content/install-auto-sklearn.log', 'w') as f:
    with contextlib.redirect_stdout(f):
        %pip install uv
        !uv pip install --system Cython==0.29.36 pyparsing==2.4
        !uv pip install --system -r https://raw.githubusercontent.com/automl/auto-sklearn/master/requirements.txt

jonathanagustin

#!/usr/bin/env python3
import subprocess
from pathlib import Path

SKIP_LIST = [
    ".git",
    "build",
    "venv",
    ".venv",
    "node_modules",

jonathanagustin

print("Hello, World!")