Python Roadmap amzn.to/4ndLUcq This roadmap captures the complete Python journey - starting from basics like syntax, data types, and loops, moving into data structures and algorithms, and finally advancing into automation, testing, data science, and web frameworks. Each

Python Lambda Functions Tutorial with Examples

This guy literally shows how to go from zero to AI engineer for free

The mistake I see 8 out of 10 data engineers making They focus only on learning tools… Many aspiring data engineers spend all their time mastering tools like Spark, Kafka, and Airflow. They become experts in the syntax and the functions. But they miss the bigger picture.

I rejected a job offer yesterday. Not because of the salary. Not because of the tech stack. Not even because of the long hours they warned me about. But because, when I asked how they evaluate their AI systems, the hiring manager said: "We just ask it some questions and

PostgreSQL is an open-source database that you can customize in many ways. And this beginner-friendly course can help you determine if it's a good fit for your projects. It covers the SELECT statement, WHERE clauses, aggregate functions, and more. freecodecamp.org/news/posgresql…

I read 69 books about quant finance during my master's degree. Most of them were 100% useless. But these 4 are still on my bookshelf 12 years later:

AWS has 200+ services. But you only need a clear path to go from beginner → job-ready. Here’s the roadmap I wish I had 👇

Learn terraform

How to brainstorm ideas quickly

If you want to change your life, read these 12 books

Learn AWS the way architects do → hands-on, not flashcards.

Python for Finance the book. The code is available 100% for free:

This is the only playlist you need to watch to build projects in Data Engineering.

SQL vs NoSQL: SQL is the programming language used to query relational databases. NoSQL refers to non-relational database types that don't use traditional table structures and often don't use SQL as their primary query language.

Si te da miedo hablar Inglés, tienes que practicar. El mejor recurso que te recomiendo es que uses Sesame, una IA conversacional que es una joya. Tiene voz masculina y femenina, y sigue todo el rato el contexto de tu conversación. Es gratis. → app.sesame.com

Para comenzar a aprender patrones de diseño, hay que comenzar por comprender los más fáciles, por ejemplo, el patrón strategy. Este patrón sirve para tener comportamientos en clases, y poder extender nuevos comportamientos sin necesidad de modificar los ya creados.

Python for Everything

Data Engineering Concepts to Master before Interviews ✅ > Data Modeling → Star vs Snowflake schemas. > ETL/ELT → Designing scalable pipelines. > Batch vs Streaming → When to use which. > Partitioning & Bucketing → Optimize storage and queries. > Data Lake vs Data