Python Practice Lab
Python Practice Lab
Learn How to Code through Interactive Examples
Cheung, Professor Victor; Lim, Professor Angelica
Princeton University Press
03/2026
160
Mole
Inglês
9780691243603
15 a 20 dias
Descrição não disponível.
Índice não disponível.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Python programming; programming fundamentals; interactive chatbots; chatbot development; Python practice; programming exercises; hands-on programming; beginner programming; programming education; coding practice; Python tutorials; programming workbook; classroom-tested; programming pedagogy; learn to program; Python for beginners; programming concepts; code comprehension; program structure; text processing; string manipulation; natural language processing; programming creativity; open-ended exercises; functional programs; complete programs; coding projects; computer science fundamentals; recommendation systems; computer vision; big data; machine learning basics; artificial intelligence; programming methodology; inclusive programming; approachable variables; readable code; code clarity; programming best practices; software development; algorithm design; data structures; control structures; loops; conditionals; functions; classes; objects; object-oriented programming; procedural programming; debugging; error handling; testing; code optimization; programming logic; computational thinking; problem solving; programming patterns; code reusability; modular programming; libraries; modules; APIs; file handling; input output; user interaction; interactive programming; console applications; text-based interfaces; conversational programming
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Python programming; programming fundamentals; interactive chatbots; chatbot development; Python practice; programming exercises; hands-on programming; beginner programming; programming education; coding practice; Python tutorials; programming workbook; classroom-tested; programming pedagogy; learn to program; Python for beginners; programming concepts; code comprehension; program structure; text processing; string manipulation; natural language processing; programming creativity; open-ended exercises; functional programs; complete programs; coding projects; computer science fundamentals; recommendation systems; computer vision; big data; machine learning basics; artificial intelligence; programming methodology; inclusive programming; approachable variables; readable code; code clarity; programming best practices; software development; algorithm design; data structures; control structures; loops; conditionals; functions; classes; objects; object-oriented programming; procedural programming; debugging; error handling; testing; code optimization; programming logic; computational thinking; problem solving; programming patterns; code reusability; modular programming; libraries; modules; APIs; file handling; input output; user interaction; interactive programming; console applications; text-based interfaces; conversational programming