Tutorials¶
About This Section
The Tutorials section provides a comprehensive learning path for various tools and methodologies integral to software development and data science, with a special emphasis on Python environments. The tutorials are meticulously curated to impart hands-on knowledge that will bolster your ability to improve code quality, streamline dependency management, document projects efficiently, and master configuration management, among other key skills. They cater to both the initiation of new projects and the enhancement of established workflows, offering a wealth of insights for developers at every level of expertise.
Purpose¶
- Focused Guidance: Each tutorial zeroes in on particular development challenges, offering pragmatic solutions and tips.
- Broad Spectrum of Topics: The range spans from foundational setup to sophisticated features and tools.
- Inclusive Learning: Tailored for novices and seasoned developers alike, the content is structured to be accessible and informative for all.
Table of Contents¶
- Formatting Your Code with Black
- Accelerating Linting with Ruff
- Poetry: Mastering Dependency Management
- Crafting Documentation with MkDocs
- Configuration Management via Hydra
- Crafting an Effective .gitignore File
- Data Versioning with DVC
- Local Data Versioning with DVC
- Leveraging Cloud Storage with DVC
- Collaborating with DVC
- Markdown Documentation for ML Models
- Introduction to Naming Conventions for AI Project Assets
- Windows OS: Setting Up Your Development Environment
- Data Management in ML Projects
- Using Code Tags
- Using TODO Tree with Code Tags
- Python OOP for Machine Learning Projects
- Sharing VS Code Settings for Python Projects
Dive into each tutorial for detailed, step-by-step guidance that you can follow along with ease. Start exploring the topics that interest you the most.