Jason Jimenez Cruz – Medium

Jason Jimenez Cruz

he/him

Pinned

Algorithms Toolkit: A Python Developer’s Guide to 16 Core Concepts

Algorithms are the bedrock of computer science, the recipes that tell our programs how to solve problems efficiently

Sep 6

Algorithm type and complexity table

Sep 6

Pinned

Data Engineering in a Box: Part 1

Welcome to the first step in our journey to build a complete, end-to-end data lakehouse.

Sep 1

Data Engineering in a box

Sep 1

Published in

Python’s Data Trilogy: Dataclass, Attrs, or Pydantic?

As data engineers, we live and breathe data. We’re responsible for its movement, its structure, and its integrity. In Python, moving beyond…

Nov 8

Python’s Data Trilogy: Dataclass, Attrs, or Pydantic?

Nov 8

Taming the Titan: Interactive ClickHouse Analytics with DuckDB

Learn a modern data science workflow. Analyze petabyte-scale ClickHouse data interactively with DuckDB and Python.

Oct 31

Taming the Titan: Interactive ClickHouse Analytics with DuckDB

Oct 31

Practice ETL Pipelines with Polars, Minio, Postgres, and Airflow

This article details the construction of a complete, containerized, and orchestrated ETL pipeline that exemplifies this modern philosophy.

Oct 10

Practice ETL Pipelines with Polars, Minio, Postgres, and Airflow

Oct 10

DuckHouse: Your functional Data warehouse in few minutes

The Modern Light-weight Data Stack in a Box: A Hybrid Approach with DuckDB, Minio, and PostgreSQL

Oct 6

DuckHouse: Your functional Data warehouse in few minutes

Oct 6

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Python Power Trio: Building a Image Classifier with Pandas, Faker, and Scikit-Learn

We’ll simulate an image classification task by generating numerical data that represents simple shapes

Oct 2

Python Power Trio: Building a Image Classifier with Pandas, Faker, and Scikit-Learn

Oct 2

ClickHouse + Python for Monitoring: Anomaly Detection on Response Times

In this hands-on tutorial, you’ll build an end‑to‑end anomaly detection workflow for API response times using ClickHouse

Sep 28

ClickHouse + Python for Monitoring: Anomaly Detection on Response Times

Sep 28

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Python Churn Prediction: A Pipeline with Faker, DuckDB & Scikit-Learn

This tutorial will guide you through generating synthetic data, validating it and training a churn prediction machine learning model

Sep 21

Python Churn Prediction: A Pipeline with Faker, DuckDB & Scikit-Learn

Sep 21

Published in

Predictive Maintenance with Python, Scikit-Learn, & DuckDB

We’ll start by generating realistic, synthetic sensor data, then validate it, train a classification model, and finally, predict data

Sep 18

Predictive Maintenance with Python, Scikit-Learn, & DuckDB

Sep 18

Jason Jimenez Cruz

Jason Jimenez Cruz

he/him

Data Architect, Fullstack Developer and GameDev. I mainly work with Python & Javascript but I like to build tools in Golang, C# and Scala

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