Getting Started Projects
Essential setup guides and tutorials to prepare your Python data engineering environment.
2 projects available
How to Choose the Right Python Data Engineering Tools for Beginners?
For beginners, start with Python and VS Code to write and test code locally. Use pip and virtualenv to manage dependencies cleanly. Once comfortable, learn Docker and Docker Compose to run databases, Kafka, and other services in isolated containers. This progression builds a solid foundation for professional data engineering work.
Python Development Environment Setup
beginnerA comprehensive guide to setting up a complete Python development environment for data engineering. Learn how to install Python across different operating systems, configure VS Code with essential extensions, create and manage virtual environments, and establish a professional workflow with dependency management using pip and requirements.txt.
Docker for Data Engineering
beginnerMaster Docker and Docker Compose for containerized data engineering workflows. This essential guide covers Docker Desktop installation across all platforms, fundamental Docker commands for managing containers and images, and Docker Compose for orchestrating multi-container applications - crucial skills for running Kafka, databases, and other data services.