codesnips

python

python 
INSTALLED_APPS += ['drf_spectacular']

REST_FRAMEWORK = {
    'DEFAULT_SCHEMA_CLASS': 'drf_spectacular.openapi.AutoSchema',
}

Django REST Framework schema and documentation

django python rest
by Priya Sharma 3 tabs
python 
# Jupyter notebook startup cell
%load_ext autoreload
%autoreload 2
%matplotlib inline

import os

Jupyter notebook setup that stays reproducible and reviewable

jupyter notebooks reproducibility
by Dr. Elena Vasquez 1 tab
sql 
CREATE TYPE outbox_status AS ENUM ('pending', 'retry', 'processing', 'done', 'dead');

CREATE TABLE outbox_events (
    id           BIGINT GENERATED ALWAYS AS IDENTITY PRIMARY KEY,
    dedupe_key   TEXT        NOT NULL,
    topic        TEXT        NOT NULL,

Atomic “Read + Mark Processed” with UPDATE … RETURNING

postgres concurrency reliability
by codesnips 3 tabs
python 
import random
from dataclasses import dataclass
from typing import Iterator


@dataclass(frozen=True)

Retry Flaky HTTP Requests with Exponential Backoff and Full Jitter in Python

python requests retry
by codesnips 3 tabs
python 
from django.db import transaction
from django.shortcuts import get_object_or_404
from django.http import JsonResponse
from .models import Product

Django select_for_update for database locking

django python database
by Priya Sharma 1 tab
python 
import numpy as np

features = np.array([
    [120.0, 3.0, 10.0],
    [90.0, 5.0, 7.0],
    [150.0, 2.0, 14.0],

NumPy broadcasting for vectorized feature engineering

numpy broadcasting vectorization
by Dr. Elena Vasquez 1 tab
lua 
-- KEYS[1] = bucket key
-- ARGV[1] = capacity, ARGV[2] = refill_per_sec, ARGV[3] = now (float seconds)
local capacity = tonumber(ARGV[1])
local rate = tonumber(ARGV[2])
local now = tonumber(ARGV[3])

Redis-Backed Token Bucket Rate Limiter as FastAPI Middleware

fastapi redis rate-limiting
by codesnips 4 tabs
python 
import torch

best_val_loss = float('inf')

for epoch in range(1, num_epochs + 1):
    model.train()

A clean PyTorch training loop with validation and checkpoints

pytorch training-loop checkpoints
by Dr. Elena Vasquez 1 tab
python 
import pandera as pa
from pandera.typing import Series

class ChurnTrainingSchema(pa.DataFrameModel):
    customer_id: Series[int] = pa.Field(unique=True)
    age: Series[int] = pa.Field(ge=18, le=100)

Data validation contracts with Pandera for pipeline reliability

pandera data-validation schema
by Dr. Elena Vasquez 1 tab
python 
from django.db import models
from django.utils import timezone


class TimeStampedModel(models.Model):
    """Abstract base class with created/updated timestamps."""

Django model inheritance with abstract base classes

django python models
by Priya Sharma 2 tabs
python 
import joblib
from skl2onnx import to_onnx
from skl2onnx.common.data_types import FloatTensorType

joblib.dump(model, 'artifacts/model.joblib')

Serializing models with joblib, pickle, and ONNX tradeoffs

model-serialization joblib onnx
by Dr. Elena Vasquez 1 tab
python 
from haystack import indexes
from blog.models import Post


class PostIndex(indexes.SearchIndex, indexes.Indexable):
    text = indexes.CharField(document=True, use_template=True)

Django haystack for advanced search

django python search
by Priya Sharma 2 tabs