I understand Python concepts but freeze when starting projects from scratch
📰 Reddit r/learnprogramming
Learn to apply Python skills to real-world projects by starting small and breaking down tasks into manageable steps
Action Steps
- Start by identifying a simple problem to solve using Python
- Break down the project into smaller, manageable tasks
- Create a rough outline of the project structure and workflow
- Begin with a minimal viable product (MVP) and iterate from there
- Use existing libraries and frameworks to speed up development
Who Needs to Know This
Data scientists and software engineers can benefit from this approach to overcome project initiation hurdles and improve productivity
Key Insight
💡 Starting small and iterating is key to overcoming project initiation hurdles
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🤖 Got Python skills but struggling to start projects from scratch? Try breaking down tasks into smaller steps and starting with a minimal viable product! 💻
Full Article
Over the past year, I've been learning Python primarily from a data science perspective, so I'm comfortable using libraries like pandas, numpy, scikit-learn, etc. In those cases, the workflow always feels pretty clear: ETL -> EDA -> Build Models -> Hyperparameter Tuning -> Visualizations But when I try to build actual software/scripts from scratch, I completely freeze. For example, I'm currently trying to make a simple automation script (as
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