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Stop following tutorials designed for beginners. Start working on projects that actually challenge you. Become a better engineer through deliberate practice.
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What you'll learn A broad and robust understanding of computer science and programming How to think algorithmically and solve programming problems efficiently Concepts like abstraction, algorithms, data structures, encapsulation, resource management, security, software engineering, and web development Familiarity with a number of languages, including C, Python, SQL, and JavaScript plus CSS and HTM
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Think Python B 2 Think Python: How to Think Like a Computer Scientist 2nd Edition Allen B. Downey Copyright c �2018 ThinkPython: by is licensed under a Creative Commons 3.0 License 3 11 1 15 1.1 . . . . . . . . . . . . . . . . . . . . . . . . . . 15 1.2 Python . . . . . . . . . . . . . . . . . . . . . . . . . . . 16 1.3 . . . . . . . . . . . . . . . . . . . . . . . . . . 17 1.4 . . . . . . . . . .
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This is CS50x 2022, an older version of the course. See cs50.harvard.edu/x for the latest! Welcome Introduction to the intellectual enterprises of computer science and the art of programming. This course teaches students how to think algorithmically and solve problems efficiently. Topics include abstraction, algorithms, data structures, encapsulation, resource management, security, software engine
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