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100 Days of Code – Python Roadmap
- The article outlines a 100 Days of Code roadmap for learning Python, focusing on structured learning and project-based approach to avoid confusion and stay motivated.
- The roadmap covers Python basics, core concepts, intermediate and advanced Python features, object-oriented programming, databases, APIs, web development with Django, and data science/machine learning.
- Each day includes specific topics to learn and corresponding projects to work on, such as working with variables, loops, functions, classes, decorators, generators, databases like MySQL and SQLite, consuming APIs, web development with Flask and Django, and machine learning with TensorFlow.
- The roadmap also includes projects like creating a contact book, developing a personal blog, implementing user authentication, building a machine learning model for image classification, and deploying applications to Heroku or Render.
- The final projects in the roadmap include developing a Django portfolio/blog website, creating a Flask dashboard for data visualization, deploying a machine learning model, working on a capstone project like a budget tracker, practicing coding interview questions, and focusing on documentation and deployment.
- The guide provides a comprehensive learning path from beginner to intermediate and advanced Python concepts, making it suitable for those starting their Python coding journey or seeking a structured learning approach.
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