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: Covers everything from basic installation and data types to advanced topics like decorators, generators, and object-oriented programming. Hands-On Projects
This plan assumes you will watch the full 2020 Complete Python Bootcamp course (lecture + exercises) and want a professional, measurable learning path to master Python. Each week pairs video watching, hands-on practice, small projects, and checkpoints. Adjust pacing if you have more/less available time; default assumes ~6–10 hours/week. Are you interested in a preview of the you should build next
OOP is the cornerstone of modern software engineering, and Jose Portilla’s explanation of this complex topic is widely considered one of the best available. You will break down abstract concepts into tangible elements by learning about:
Provide a for specializing in data science or web dev after the course. Each week pairs video watching, hands-on practice, small
Installing Python, setting up environment managers (like Anaconda and Jupyter Notebooks), and understanding object types.
Working with datetime, math, and collections. You will break down abstract concepts into tangible
Working with logic states and reading/writing external text files. 3. Comparison Operators and Statements
: Every lecture comes with a corresponding Jupyter Notebook , allowing you to read detailed explanations and run code simultaneously, which reviewers from YouTube find particularly helpful for retention. Pros & Cons from Student Reviews Student Perspective Pacing