Generic selectors
Exact matches only
Search in title
Search in content
Post Type Selectors
Filter by Categories
About Article
Analyze Data
Archive
Best Practices
Better Outputs
Blog
Code Optimization
Code Quality
Command Line
Course
Daily tips
Dashboard
Data Analysis & Manipulation
Data Engineer
Data Visualization
DataFrame
Delta Lake
DevOps
DuckDB
Environment Management
Feature Engineer
Git
Jupyter Notebook
LLM
LLM Tools
Machine Learning
Machine Learning & AI
Machine Learning Tools
Manage Data
MLOps
Natural Language Processing
Newsletter Archive
NumPy
Pandas
Polars
PySpark
Python Helpers
Python Tips
Python Utilities
Scrape Data
SQL
Testing
Time Series
Tools
Visualization
Visualization & Reporting
Workflow & Automation
Workflow Automation

Newsletter #234: Faker: Generate Realistic Test Data with One Command

Newsletter #234: Faker: Generate Realistic Test Data with One Command


๐Ÿ“… Today’s Picks

Faker: Generate Realistic Test Data with One Command

Code example: Faker: Generate Realistic Test Data with One Command

Problem

Creating realistic test data manually is time-consuming.

Solution

Faker generates authentic-looking test data with single-line commands.

Key features:

  • Realistic names, emails, and addresses
  • 50+ language locales (en_US, vi_VN, etc.)
  • One-line profile generation with custom fields

Persist Agent State Across Restarts with LangGraph Checkpointing

Code example: Persist Agent State Across Restarts with LangGraph Checkpointing

Problem

Checkpointing is a persistence layer that maintains agent workflow state between executions.

Without checkpointing, agents lose all state when systems restart, requiring users to start over with new conversations.

Solution

With LangGraph’s checkpointing, you can persist agent state to databases, enabling:

  • Conversation continuity through restarts
  • Same conversation accessible from any application instance
  • Flexible persistence with PostgreSQL, SQLite, or MongoDB backends

โ˜•๏ธ Weekly Finds

git-who [Data Engineer] – Git blame for file trees – visualize code authorship and contributions across entire directory structures

nanochat [LLM] – The best ChatGPT that $100 can buy – minimal, hackable LLM implementation with full training pipeline

ManimML [ML] – Animate and visualize machine learning concepts with Manim – create neural network visualizations and educational content

Looking for a specific tool? Explore 70+ Python tools โ†’

Stay Current with CodeCut

Actionable Python tips, curated for busy data pros. Skim in under 2 minutes, three times a week.

Leave a Comment

Your email address will not be published. Required fields are marked *

0
    0
    Your Cart
    Your cart is empty
    Scroll to Top

    Work with Khuyen Tran

    Work with Khuyen Tran