codingforentrepreneurs

export default async function isValidURL(url, disallowedDomains) {
    // Construct a regular expression pattern to match disallowed domains
    const disallowedPattern = `^https?:\\/\\/(?:${disallowedDomains.join('|')})\\b`;
    let disallowedRegex = new RegExp(disallowedPattern, 'i');
  
    // Regular expression pattern to match a URL (excluding localhost)
    const urlPattern = /^(https?:\/\/)?((?!localhost)[\w.-]+)\.([a-z]{2,})(:\d{1,5})?(\/.*)?$/i;
    let urlRegex = new RegExp(urlPattern);
  
    // Test the URL against both URL pattern and disallowed domain pattern

codingforentrepreneurs

# Get version at https://knative.dev/docs/install/yaml-install/serving/install-serving-with-yaml/
export KNATIVE_VERSION="v1.10.1" # ensure ISTIO install matches this version too

# Install knative serving
# Ref: https://knative.dev/docs/install/yaml-install/serving/install-serving-with-yaml/#install-the-knative-serving-component
kubectl apply -f https://github.com/knative/serving/releases/download/knative-$KNATIVE_VERSION/serving-crds.yaml
kubectl apply -f https://github.com/knative/serving/releases/download/knative-$KNATIVE_VERSION/serving-core.yaml


# install istio

codingforentrepreneurs

Django Custom Context Processors Example

In cfehome/context_processors.py add:

def my_context(request):
    # caching
    return {
 "my_var": "hello world"

codingforentrepreneurs

# Video https://youtube.com/shorts/MNUdPGIjMPw
# Python 3.10
# pip install openai-whisper
# pip install git+https://github.com/openai/whisper.git 
# install ffmpeg
# brew install ffmpeg
import subprocess
import whisper
model = whisper.load_model("base")

codingforentrepreneurs

I've been using cassandra a lot lately. It's very common to denote ID fields in cassanda as a time-based uuid field called timeuuid docs. In python, a timeuuuid is mearly uuid.uuid1 from the built-in uuid package.

Using the cassandra-driver, you might end up with a model like:

import uuid
from cassandra.cqlengine import columns
from cassandra.cqlengine.models import Model

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from fractions import Fraction

def number_str_to_float(amount_str:str) -> (any, bool):
    """
    Take in an amount string to return float (if possible).
    
    Valid string returns:
    Float
    Boolean -> True

codingforentrepreneurs

codingforentrepreneurs

Django for Jupyter

It's true packages exist to make it "easy" to use Django inside of a jupyter notebook. I seem to always run into issues successfully running these packages. I've found the below method useful although I cannot recall how I discovered how this works (aka attribution needed).

Requirements

• Virtual Environment (virtualenv, venv, pipenv, etc)
• Django installed & project created (we'll use the project name cfehome)
• Jupyter installed at least in the virtual environment